Yang Liu

Robust Learning from Noisily Labeled Long-Tailed Data via Fairness Regularizer AAAI 2026 Hidden in the Noise: Unveiling Backdoors in Audio LLMs Alignment Through Latent Acoustic Pattern Triggers AAAI 2026 Graph VQ-Transformer (GVT): Fast and Accurate Molecular Generation via High-Fidelity Discrete Latents AAAI 2026 PCSR: Pseudo-label Consistency-Guided Sample Refinement for Noisy Correspondence Learning AAAI 2026 Addressing Polarization and Unfairness in Performative Prediction AAAI 2026 Stabilizing Self-Consuming Diffusion Models with Latent Space Filtering AAAI 2026 MAGIC: Mastering Physical Adversarial Generation in Context Through Collaborative LLM Agents AAAI 2026 Temporal-Consistent Video Restoration with Pre-trained Diffusion Models AAAI 2026 Decoding Scientific Experimental Images: The SPUR Benchmark for Perception, Understanding, and Reasoning ACL 2026 UR2 : Unify RAG and Reasoning through Reinforcement Learning ACL 2026 Beyond "I Don’t Know": Evaluating LLM Self-Awareness in Discriminating Data and Model Uncertainty ACL 2026 InstructDiff: Domain-Adaptive Data Selection via Contrastive Entropy for Efficient LLM Fine-Tuning ACL 2026 Scaling External Knowledge Input Beyond Context Windows of LLMs via Multi-Agent Collaboration ACL 2026 GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models ACL 2026 SPPO: Sequence-Level PPO for Long-Horizon Reasoning Tasks ACL 2026 LM-Lexicon: Improving Definition Modeling via Harmonizing Semantic Experts EACL 2026 DermEVAL: A Dermatologist-Reviewed Benchmark for Multimodal Large Language Models WACV 2026 FlowHN: Adaptive Token Routing for Efficient Parallel Hybrid Networks ACL 2026 ACRM: Multi-Agent Trajectory Learning for Automated Credit Risk Model Refreshing in Production ACL 2026 Writing-RL: Advancing Long-form Writing via Adaptive Curriculum Reinforcement Learning ACL 2026 ICM-Fusion: In-Context Meta-Optimized LoRA Fusion for Multi-Task Adaptation AAAI 2026 Image-Text Knowledge Modeling for Unsupervised Multi-Scenario Person Re-Identification AAAI 2026 Improving Sustainability of Adversarial Examples in Class-Incremental Learning AAAI 2026 PhysPatch: A Physically Realizable and Transferable Adversarial Patch Attack for Multimodal Large Language Models-based Autonomous Driving Systems AAAI 2026 ReACT: Reward-informed Autoregressive Decision CAD Transformer AAAI 2026 I2E: Real-Time Image-to-Event Conversion for High-Performance Spiking Neural Networks AAAI 2026 RABot: Reinforcement-Guided Graph Augmentation for Imbalanced and Noisy Social Bot Detection AAAI 2026 Modeling Trend Dynamics with Variational Neural ODEs for Information Popularity Prediction AAAI 2026 ProtSAE: Disentangling and Interpreting Protein Language Models via Semantically-Guided Sparse Autoencoders AAAI 2026 Controllable Financial Market Generation with Diffusion Guided Meta Agent AAAI 2026 Plane Geometry Problem Solving with Multi-modal Reasoning: A Survey EACL 2026 MASFactory: A Graph-centric Framework for Orchestrating LLM-Based Multi-Agent Systems with Vibe Graphing ACL 2026 RiskLab: A Controlled Toolkit for Probing Emergent Risks in LLM-Based Multi-Agent Systems ACL 2026 Rethinking Data Mixing from the Perspective of Large Language Models ACL 2026 Understanding the Prompt Sensitivity ACL 2026 MUSEG: Reinforcing Video Temporal Understanding via Timestamp-Aware Multi-Segment Grounding ACL 2026 Enhancing Lexical Relation Mining with Structured Sememe Knowledge ACL 2026 Guided by the Plan: Enhancing Faithful Autoregressive Text-to-Audio Generation with Guided Decoding EACL 2026 Observations and Remedies for Large Language Model Bias in Self-Consuming Performative Loop ACL 2026 Revisiting a Pain in the Neck: A Semantic Reasoning Benchmark for Language Models ACL 2026 Learn Like Humans: Use Meta-cognitive Reflection for Efficient Self-Improvement ACL 2026 Visual-Friendly Concept Protection via Selective Adversarial Perturbations AAAI 2026 OptiCo: Adaptive Distributed Training Optimization via Collaborative Agent Reasoning ACL 2026 False Friends in the Shell: Unveiling the Emoticon Semantic Confusion in Large Language Models ACL 2026 Community-Aware Assessment of Social Textual Engagement and Resonance: A Human-Centric Perspective on User-Generated Content Evaluation ACL 2026 ProActor: Timing-Aware Reinforcement Learning for Proactive Task Scheduling Agents ACL 2026 On the Alignment of Large Language Models with Global Human Opinion AAAI 2026 DoGA: Enhancing Grounded Object Detection via Grouped Pre-Training with Attributes AAAI 2025 Learning Dynamic Similarity by Bidirectional Hierarchical Sliding Semantic Probe for Efficient Text Video Retrieval AAAI 2025 Asymmetric Visual Semantic Embedding Framework for Efficient Vision-Language Alignment AAAI 2025 Generative Video Diffusion for Unseen Novel Semantic Video Moment Retrieval AAAI 2025 From Coarse to Fine: A Matching and Alignment Framework for Unsupervised Cross-View Geo-Localization AAAI 2025 DeMo: Decoupled Feature-Based Mixture of Experts for Multi-Modal Object Re-Identification AAAI 2025 MambaPro: Multi-Modal Object Re-identification with Mamba Aggregation and Synergistic Prompt AAAI 2025 TRKT: Weakly Supervised Dynamic Scene Graph Generation with Temporal-enhanced Relation-aware Knowledge Transferring ICCV 2025 Beyond the Destination: A Novel Benchmark for Exploration-Aware Embodied Question Answering ICCV 2025 Unified Open-World Segmentation with Multi-Modal Prompts ICCV 2025 AdsQA: Towards Advertisement Video Understanding ICCV 2025 Open-Vocabulary HOI Detection with Interaction-aware Prompt and Concept Calibration ICCV 2025 End-to-End Driving with Online Trajectory Evaluation via BEV World Model ICCV 2025 LVAgent: Long Video Understanding by Multi-Round Dynamical Collaboration of MLLM Agents ICCV 2025 Aligning Information Capacity Between Vision and Language via Dense-to-Sparse Feature Distillation for Image-Text Matching ICCV 2025 FinMMR: Make Financial Numerical Reasoning More Multimodal, Comprehensive, and Challenging ICCV 2025 Hierarchical Event Memory for Accurate and Low-latency Online Video Temporal Grounding ICCV 2025 DisTime: Distribution-based Time Representation for Video Large Language Models ICCV 2025 GFPack++: Attention-Driven Gradient Fields for Optimizing 2D Irregular Packing ICCV 2025 Adversarial Robust Memory-Based Continual Learner ICCV 2025 Multi-scenario Overlapping Text Segmentation with Depth Awareness ICCV 2025 AR-VRM: Imitating Human Motions for Visual Robot Manipulation with Analogical Reasoning ICCV 2025 DiffTell: A High-Quality Dataset for Describing Image Manipulation Changes ICCV 2025 Learning Visual Proxy for Compositional Zero-Shot Learning ICCV 2025 PlanLLM: Video Procedure Planning with Refinable Large Language Models AAAI 2025 Dynamic Graph Learning with Static Relations for Credit Risk Assessment AAAI 2025 Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach AAAI 2025 Human and AI Perceptual Differences in Image Classification Errors AAAI 2025 Logic-Q: Improving Deep Reinforcement Learning-based Quantitative Trading via Program Sketch-based Tuning AAAI 2025 FastPERT: Towards Fast Microservice Application Latency Prediction via Structural Inductive Bias over PERT Networks AAAI 2025 Can Large Language Models Derive High-Level Cognition from Low-Level and Fragmented Foundational Information? AAAI 2025 Rethinking Long Context Generation from the Continual Learning Perspective COLING 2025 LTRS: Improving Word Sense Disambiguation via Learning to Rank Senses COLING 2025 Scaffolding Coordinates to Promote Vision-Language Coordination in Large Multi-Modal Models COLING 2025 Leveraging Language-based Representations for Better Solving Symbol-related Problems with Large Language Models COLING 2025 How Do Multimodal Large Language Models Handle Complex Multimodal Reasoning? Placing Them in An Extensible Escape Game ICCV 2025 ToolVQA: A Dataset for Multi-step Reasoning VQA with External Tools ICCV 2025 VideoLLaMB: Long Streaming Video Understanding with Recurrent Memory Bridges ICCV 2025 Multi-Agent Collaboration for Investment Guidance: Earnings2Insights Report Generation EMNLP 2025 Do LLMs Align Human Values Regarding Social Biases? Judging and Explaining Social Biases with LLMs EMNLP 2025 One Shot Dominance: Knowledge Poisoning Attack on Retrieval-Augmented Generation Systems EMNLP 2025 Efficient Dynamic Clustering-Based Document Compression for Retrieval-Augmented-Generation EMNLP 2025 GeoDANO: Geometric VLM with Domain Agnostic Vision Encoder EMNLP 2025 Efficiently Editing Mixture-of-Experts Models with Compressed Experts EMNLP 2025 Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects EMNLP 2025 Prejudge-Before-Think: Enhancing Large Language Models at Test-Time by Process Prejudge Reasoning EMNLP 2025 DongbaMIE: A Multimodal Information Extraction Dataset for Evaluating Semantic Understanding of Dongba Pictograms EMNLP 2025 Toward Optimal LLM Alignments Using Two-Player Games EMNLP 2025 ECHO-LLaMA: Efficient Caching for High-Performance LLaMA Training EMNLP 2025 ECom-Bench: Can LLM Agent Resolve Real-World E-commerce Customer Support Issues? EMNLP 2025 Understanding and Leveraging the Expert Specialization of Context Faithfulness in Mixture-of-Experts LLMs EMNLP 2025 Do Large Language Models excel in Complex Logical Reasoning with Formal Language? EMNLP 2025 MUCAR: Benchmarking Multilingual Cross-Modal Ambiguity Resolution for Multimodal Large Language Models EMNLP 2025 How Sememic Components Can Benefit Link Prediction for Lexico-Semantic Knowledge Graphs? EMNLP 2025 G2: Guided Generation for Enhanced Output Diversity in LLMs EMNLP 2025 S^3cMath: Spontaneous Step-Level Self-Correction Makes Large Language Models Better Mathematical Reasoners AAAI 2025 Perception-Guided Jailbreak Against Text-to-Image Models AAAI 2025 Evolution of Aegis: Fault Diagnosis for AI Model Training Service in Production NSDI 2025 SimAI: Unifying Architecture Design and Performance Tuning for Large-Scale Large Language Model Training with Scalability and Precision NSDI 2025 Large-Scale Corpus Construction and Retrieval-Augmented Generation for Ancient Chinese Poetry: New Method and Data Insights NAACL 2025 Stephanie: Step-by-Step Dialogues for Mimicking Human Interactions in Social Conversations NAACL 2025 Vision-Language Models Can Self-Improve Reasoning via Reflection NAACL 2025 CodexGraph: Bridging Large Language Models and Code Repositories via Code Graph Databases NAACL 2025 Multi-Tracer Uptake Correction for PET-MR via Aligned-Feature Guidance and Multi-scale Pixel-adaptive Routing MICCAI 2025 Motion-Boundary-Driven Unsupervised Surgical Instrument Segmentation in Low-Quality Optical Flow MICCAI 2025 PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark JMLR 2025 PeSANet: Physics-encoded Spectral Attention Network for Simulating PDE-Governed Complex Systems IJCAI 2025 In-Context Meta LoRA Generation IJCAI 2025 Sharpness-aware Zeroth-order Optimization for Graph Transformers IJCAI 2025 SAP: Privacy-Preserving Fine-Tuning on Language Models with Split-and-Privatize Framework IJCAI 2025 Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion ICML 2025 Defending LVLMs Against Vision Attacks Through Partial-Perception Supervision ICML 2025 Conformal Anomaly Detection in Event Sequences ICML 2025 PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs ICML 2025 UniSim: A Unified Simulator for Time-Coarsened Dynamics of Biomolecules ICML 2025 Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning ICML 2025 Robust Multi-bit Text Watermark with LLM-based Paraphrasers ICML 2025 Understanding Chain-of-Thought in LLMs through Information Theory ICML 2025 Token Cleaning: Fine-Grained Data Selection for LLM Supervised Fine-Tuning ICML 2025 Balancing Preservation and Modification: A Region and Semantic Aware Metric for Instruction-Based Image Editing ICML 2025 UniMoMo: Unified Generative Modeling of 3D Molecules for De Novo Binder Design ICML 2025 Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints ICML 2025 CityGaussianV2: Efficient and Geometrically Accurate Reconstruction for Large-Scale Scenes ICLR 2025 Regretful Decisions under Label Noise ICLR 2025 Improving Data Efficiency via Curating LLM-Driven Rating Systems ICLR 2025 PINP: Physics-Informed Neural Predictor with latent estimation of fluid flows ICLR 2025 On the Role of Attention Heads in Large Language Model Safety ICLR 2025 MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model ICLR 2025 Improved Techniques for Optimization-Based Jailbreaking on Large Language Models ICLR 2025 PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems ICLR 2025 Adversarial Machine Unlearning ICLR 2025 LLM Unlearning via Loss Adjustment with Only Forget Data ICLR 2025 Erasing Concept Combination from Text-to-Image Diffusion Model ICLR 2025 Noisy Test-Time Adaptation in Vision-Language Models ICLR 2025 Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs ICLR 2025 SimXRD-4M: Big Simulated X-ray Diffraction Data and Crystal Symmetry Classification Benchmark ICLR 2025 When Prompt Engineering Meets Software Engineering: CNL-P as Natural and Robust "APIs'' for Human-AI Interaction ICLR 2025 CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer ICLR 2025 InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization ICLR 2025 Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling ICLR 2025 ACC-Collab: An Actor-Critic Approach to Multi-Agent LLM Collaboration ICLR 2025 Prompting Fairness: Integrating Causality to Debias Large Language Models ICLR 2025 STAFF: Speculative Coreset Selection for Task-Specific Fine-tuning ICLR 2025 HandCraft: Anatomically Correct Restoration of Malformed Hands in Diffusion Generated Images WACV 2025 Hybrid Concept Bottleneck Models CVPR 2025 Ustnlp16 at SemEval-2025 Task 9: Improving Model Performance through Imbalance Handling and Focal Loss SEMEVAL 2025 BlitzScale: Fast and Live Large Model Autoscaling with O(1) Host Caching OSDI 2025 WeakMCN: Multi-task Collaborative Network for Weakly Supervised Referring Expression Comprehension and Segmentation CVPR 2025 Apply Hierarchical-Chain-of-Generation to Complex Attributes Text-to-3D Generation CVPR 2025 SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator Trajectories CVPR 2025 ConMo: Controllable Motion Disentanglement and Recomposition for Zero-Shot Motion Transfer CVPR 2025 When the Future Becomes the Past: Taming Temporal Correspondence for Self-supervised Video Representation Learning CVPR 2025 SceneTAP: Scene-Coherent Typographic Adversarial Planner against Vision-Language Models in Real-World Environments CVPR 2025 ROS-SAM: High-Quality Interactive Segmentation for Remote Sensing Moving Object CVPR 2025 DSPNet: Dual-vision Scene Perception for Robust 3D Question Answering CVPR 2025 AdaMMS: Model Merging for Heterogeneous Multimodal Large Language Models with Unsupervised Coefficient Optimization CVPR 2025 Personality-Guided Code Generation Using Large Language Models ACL 2025 Efficient Universal Goal Hijacking with Semantics-guided Prompt Organization ACL 2025 ActiView: Evaluating Active Perception Ability for Multimodal Large Language Models ACL 2025 MCS-Bench: A Comprehensive Benchmark for Evaluating Multimodal Large Language Models in Chinese Classical Studies ACL 2025 FlashAudio: Rectified Flow for Fast and High-Fidelity Text-to-Audio Generation ACL 2025 FinanceReasoning: Benchmarking Financial Numerical Reasoning More Credible, Comprehensive and Challenging ACL 2025 The Invisible Hand: Unveiling Provider Bias in Large Language Models for Code Generation ACL 2025 Knowledge Image Matters: Improving Knowledge-Based Visual Reasoning with Multi-Image Large Language Models ACL 2025 The Role of Visual Modality in Multimodal Mathematical Reasoning: Challenges and Insights ACL 2025 LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning ACL 2025 CRPO: Confidence-Reward Driven Preference Optimization for Machine Translation ACL 2025 StableToolBench-MirrorAPI: Modeling Tool Environments as Mirrors of 7,000+ Real-World APIs ACL 2025 HyperCRS: Hypergraph-Aware Multi-Grained Preference Learning to Burst Filter Bubbles in Conversational Recommendation System ACL 2025 KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding ACL 2025 Perspective Transition of Large Language Models for Solving Subjective Tasks ACL 2025 Crabs: Consuming Resource via Auto-generation for LLM-DoS Attack under Black-box Settings ACL 2025 Socratic Style Chain-of-Thoughts Help LLMs to be a Better Reasoner ACL 2025 ReflectEvo: Improving Meta Introspection of Small LLMs by Learning Self-Reflection ACL 2025 FaVe: Factored and Verified Search Rationale for Long-form Answer ACL 2025 COSMIC: Generalized Refusal Direction Identification in LLM Activations ACL 2025 Ustnlp16 at SemEval-2025 Task 9: Improving Model Performance through Imbalance Handling and Focal Loss ACL 2025 Towards Long-Horizon Vision-Language Navigation: Platform, Benchmark and Method CVPR 2025 CoSpace: Benchmarking Continuous Space Perception Ability for Vision-Language Models CVPR 2025 Cross-modal Causal Relation Alignment for Video Question Grounding CVPR 2025 HSI: A Holistic Style Injector for Arbitrary Style Transfer CVPR 2025 Nonparametric Factor Analysis and Beyond AISTATS 2025 To Give or Not to Give? The Impacts of Strategically Withheld Recourse AISTATS 2025 Long-VLA: Unleashing Long-Horizon Capability of Vision Language Action Model for Robot Manipulation CORL 2025 Exploring Enhanced Contextual Information for Video-Level Object Tracking AAAI 2025 Exploring Conditional Multi-Modal Prompts for Zero-shot HOI Detection ECCV 2024 Region-Aware Sequence-to-Sequence Learning for Hyperspectral Denoising ECCV 2024 Towards Multimodal Sentiment Analysis Debiasing via Bias Purification ECCV 2024 Fairness without Harm: An Influence-Guided Active Sampling Approach NIPS 2024 P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics NIPS 2024 Scalable Optimization in the Modular Norm NIPS 2024 Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy NIPS 2024 Full-Atom Peptide Design with Geometric Latent Diffusion NIPS 2024 Mesa-Extrapolation: A Weave Position Encoding Method for Enhanced Extrapolation in LLMs NIPS 2024 Diff-BGM: A Diffusion Model for Video Background Music Generation CVPR 2024 Fantastic Animals and Where to Find Them: Segment Any Marine Animal with Dual SAM CVPR 2024 A&B BNN: Add&Bit-Operation-Only Hardware-Friendly Binary Neural Network CVPR 2024 CoDi-2: In-Context Interleaved and Interactive Any-to-Any Generation CVPR 2024 CosalPure: Learning Concept from Group Images for Robust Co-Saliency Detection CVPR 2024 An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning CVPR 2024 EgoThink: Evaluating First-Person Perspective Thinking Capability of Vision-Language Models CVPR 2024 Active Object Detection with Knowledge Aggregation and Distillation from Large Models CVPR 2024 De-confounded Data-free Knowledge Distillation for Handling Distribution Shifts CVPR 2024 DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data CVPR 2024 Magic Tokens: Select Diverse Tokens for Multi-modal Object Re-Identification CVPR 2024 FaceChain-ImagineID: Freely Crafting High-Fidelity Diverse Talking Faces from Disentangled Audio CVPR 2024 EvalCrafter: Benchmarking and Evaluating Large Video Generation Models CVPR 2024 OED: Towards One-stage End-to-End Dynamic Scene Graph Generation CVPR 2024 Exploring the Potential of Large Foundation Models for Open-Vocabulary HOI Detection CVPR 2024 WAS: Dataset and Methods for Artistic Text Segmentation ECCV 2024 Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation NIPS 2024 Large Language Model Unlearning NIPS 2024 Learning Superconductivity from Ordered and Disordered Material Structures NIPS 2024 Customized Subgraph Selection and Encoding for Drug-drug Interaction Prediction NIPS 2024 PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents EACL 2024 Quantifying Stereotypes in Language EACL 2024 How Does In-Context Learning Help Prompt Tuning? EACL 2024 Federated Learning with Local Openset Noisy Labels ECCV 2024 CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussians ECCV 2024 PiTe: Pixel-Temporal Alignment for Large Video-Language Model ECCV 2024 3D Structure Prediction of Atomic Systems with Flow-based Direct Preference Optimization NIPS 2024 FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models NIPS 2024 Large Language Model Unlearning via Embedding-Corrupted Prompts NIPS 2024 User-Creator Feature Polarization in Recommender Systems with Dual Influence NIPS 2024 Achievable Fairness on Your Data With Utility Guarantees NIPS 2024 Zero-Shot Video Moment Retrieval From Frozen Vision-Language Models WACV 2024 Comprehensive Visual Grounding for Video Description AAAI 2024 Bridging the Gap between 2D and 3D Visual Question Answering: A Fusion Approach for 3D VQA AAAI 2024 Semantic-Guided Novel Category Discovery AAAI 2024 Novel Class Discovery in Chest X-rays via Paired Images and Text AAAI 2024 Knowledge Graph Error Detection with Contrastive Confidence Adaption AAAI 2024 FedMut: Generalized Federated Learning via Stochastic Mutation AAAI 2024 FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning AAAI 2024 Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts AAAI 2024 Jointly Modeling Spatio-Temporal Features of Tactile Signals for Action Classification AAAI 2024 Fair Participation via Sequential Policies AAAI 2024 FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning AAAI 2024 Robust Evaluation Measures for Evaluating Social Biases in Masked Language Models AAAI 2024 Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models AAAI 2024 Providing Fair Recourse over Plausible Groups AAAI 2024 Diffusion Glancing Transformer for Parallel Sequence-to-Sequence Learning NAACL 2024 Spatio-temporal Contrast Network for Data-efficient Learning of Coronary Artery Disease in Coronary CT Angiography MICCAI 2024 Cluster-Adaptive Network A/B Testing: From Randomization to Estimation JMLR 2024 Label Leakage in Vertical Federated Learning: A Survey IJCAI 2024 MAS-SAM: Segment Any Marine Animal with Aggregated Features IJCAI 2024 Vision-based Discovery of Nonlinear Dynamics for 3D Moving Target IJCAI 2024 Federated Adaptation for Foundation Model-based Recommendations IJCAI 2024 With a Little Help from Language: Semantic Enhanced Visual Prototype Framework for Few-Shot Learning IJCAI 2024 VSGT: Variational Spatial and Gaussian Temporal Graph Models for EEG-based Emotion Recognition IJCAI 2024 3D Vision and Language Pretraining with Large-Scale Synthetic Data IJCAI 2024 Denoising Diffusion-Augmented Hybrid Video Anomaly Detection via Reconstructing Noised Frames IJCAI 2024 A General Black-box Adversarial Attack on Graph-based Fake News Detectors IJCAI 2024 Generative Active Learning for Long-tailed Instance Segmentation ICML 2024 MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization ICML 2024 Position: Towards Unified Alignment Between Agents, Humans, and Environment ICML 2024 Semantic-Aware Human Object Interaction Image Generation ICML 2024 Graph Distillation with Eigenbasis Matching ICML 2024 Equivariant Diffusion for Crystal Structure Prediction ICML 2024 Improving Neural Logic Machines via Failure Reflection ICML 2024 Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning ICML 2024 Multi-View Clustering by Inter-cluster Connectivity Guided Reward ICML 2024 Performative Prediction with Bandit Feedback: Learning through Reparameterization ICML 2024 Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection ICML 2024 ZeroFlow: Scalable Scene Flow via Distillation ICLR 2024 Procedural Fairness Through Decoupling Objectionable Data Generating Components ICLR 2024 Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching ICLR 2024 IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks ICLR 2024 VFLAIR: A Research Library and Benchmark for Vertical Federated Learning ICLR 2024 Few-shot Hybrid Domain Adaptation of Image Generator ICLR 2024 OpenChat: Advancing Open-source Language Models with Mixed-Quality Data ICLR 2024 A Simple Image Segmentation Framework via In-Context Examples NIPS 2024 Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking NIPS 2024 Toward Robust Incomplete Multimodal Sentiment Analysis via Hierarchical Representation Learning NIPS 2024 Multi-LLM Debate: Framework, Principals, and Interventions NIPS 2024 Learning the Optimal Policy for Balancing Short-Term and Long-Term Rewards NIPS 2024 TopoFR: A Closer Look at Topology Alignment on Face Recognition NIPS 2024 Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation NIPS 2024 WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts NIPS 2024 Citation-Enhanced Generation for LLM-based Chatbots ACL 2024 CODIS: Benchmarking Context-dependent Visual Comprehension for Multimodal Large Language Models ACL 2024 Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich Languages ACL 2024 Browse and Concentrate: Comprehending Multimodal Content via Prior-LLM Context Fusion ACL 2024 Model Composition for Multimodal Large Language Models ACL 2024 Disambiguate Words like Composing Them: A Morphology-Informed Approach to Enhance Chinese Word Sense Disambiguation ACL 2024 Reasoning in Conversation: Solving Subjective Tasks through Dialogue Simulation for Large Language Models ACL 2024 Small Models are Valuable Plug-ins for Large Language Models ACL 2024 Play Guessing Game with LLM: Indirect Jailbreak Attack with Implicit Clues ACL 2024 Budget-Constrained Tool Learning with Planning ACL 2024 PANDA: Preference Adaptation for Enhancing Domain-Specific Abilities of LLMs ACL 2024 StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models ACL 2024 Space Group Constrained Crystal Generation ICLR 2024 Reinforcement Symbolic Regression Machine ICLR 2024 Fair Classifiers that Abstain without Harm ICLR 2024 Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective ICLR 2024 BadEdit: Backdooring Large Language Models by Model Editing ICLR 2024 Implicit and Explicit Policy Constraints for Offline Reinforcement Learning CLEAR 2024 Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction ICLR 2024 RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies ICLR 2024 VBH-GNN: Variational Bayesian Heterogeneous Graph Neural Networks for Cross-subject Emotion Recognition ICLR 2024 Post-hoc bias scoring is optimal for fair classification ICLR 2024 SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases ICLR 2024 Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models ICLR 2024 3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining ICLR 2024 Chinese Morpheme-informed Evaluation of Large Language Models COLING 2024 DEEM: Dynamic Experienced Expert Modeling for Stance Detection COLING 2024 Morpheme Sense Disambiguation: A New Task Aiming for Understanding the Language at Character Level COLING 2024 Pluggable Neural Machine Translation Models via Memory-augmented Adapters COLING 2024 Step-by-Step: Controlling Arbitrary Style in Text with Large Language Models COLING 2024 ToolRerank: Adaptive and Hierarchy-Aware Reranking for Tool Retrieval COLING 2024 Unveiling Project-Specific Bias in Neural Code Models COLING 2024 CSLM: A Framework for Question Answering Dataset Generation through Collaborative Small Language Models EMNLP 2024 Repairing Catastrophic-Neglect in Text-to-Image Diffusion Models via Attention-Guided Feature Enhancement EMNLP 2024 From Pixels to Personas: Investigating and Modeling Self-Anthropomorphism in Human-Robot Dialogues EMNLP 2024 TongGu: Mastering Classical Chinese Understanding with Knowledge-Grounded Large Language Models EMNLP 2024 Self-contradictory reasoning evaluation and detection EMNLP 2024 RAG4ITOps: A Supervised Fine-Tunable and Comprehensive RAG Framework for IT Operations and Maintenance EMNLP 2024 Split and Merge: Aligning Position Biases in LLM-based Evaluators EMNLP 2024 Efficient Temporal Extrapolation of Multimodal Large Language Models with Temporal Grounding Bridge EMNLP 2024 MQuinE: a Cure for “Z-paradox” in Knowledge Graph Embedding EMNLP 2024 Visual Prompting in LLMs for Enhancing Emotion Recognition EMNLP 2024 FuseGen: PLM Fusion for Data-generation based Zero-shot Learning EMNLP 2024 EMIE-MAP: Large-Scale Road Surface Reconstruction Based on Explicit Mesh and Implicit Encoding ECCV 2024 Training-free Video Temporal Grounding using Large-scale Pre-trained Models ECCV 2024 VQA-Diff: Exploiting VQA and Diffusion for Zero-Shot Image-to-3D Vehicle Asset Generation in Autonomous Driving ECCV 2024 Bridging the Gap between Decision and Logits in Decision-based Knowledge Distillation for Pre-trained Language Models ACL 2023 Crystal Structure Prediction by Joint Equivariant Diffusion NIPS 2023 Sparse Modular Activation for Efficient Sequence Modeling NIPS 2023 Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning NIPS 2023 Graph Contrastive Learning with Stable and Scalable Spectral Encoding NIPS 2023 Model Sparsity Can Simplify Machine Unlearning NIPS 2023 Echoes Beyond Points: Unleashing the Power of Raw Radar Data in Multi-modality Fusion NIPS 2023 Long-Term Fairness with Unknown Dynamics NIPS 2023 Uncertainty-Aware Instance Reweighting for Off-Policy Learning NIPS 2023 Deep Insights into Noisy Pseudo Labeling on Graph Data NIPS 2023 AudioEar: Single-View Ear Reconstruction for Personalized Spatial Audio AAAI 2023 Phrase-Level Temporal Relationship Mining for Temporal Sentence Localization AAAI 2023 Background-Mixed Augmentation for Weakly Supervised Change Detection AAAI 2023 Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs AAAI 2023 EASAL: Entity-Aware Subsequence-Based Active Learning for Named Entity Recognition AAAI 2023 Unsupervised Explanation Generation via Correct Instantiations AAAI 2023 A Simple Yet Effective Subsequence-Enhanced Approach for Cross-Domain NER AAAI 2023 Towards Credible Human Evaluation of Open-Domain Dialog Systems Using Interactive Setup AAAI 2023 Human Mobility Modeling during the COVID-19 Pandemic via Deep Graph Diffusion Infomax AAAI 2023 Anonymization for Skeleton Action Recognition AAAI 2023 Improving Training and Inference of Face Recognition Models via Random Temperature Scaling AAAI 2023 Clinical note section classification on doctor-patient conversations in low-resourced settings AACL 2023 DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for Domain Adaptation ACL 2023 KILM: Knowledge Injection into Encoder-Decoder Language Models ACL 2023 Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization ACL 2023 Multi-target Backdoor Attacks for Code Pre-trained Models ACL 2023 Continual Knowledge Distillation for Neural Machine Translation ACL 2023 Weakly Supervised Vision-and-Language Pre-training with Relative Representations ACL 2023 UniSumm and SummZoo: Unified Model and Diverse Benchmark for Few-Shot Summarization ACL 2023 Generating Structured Pseudo Labels for Noise-resistant Zero-shot Video Sentence Localization ACL 2023 An Extensible Plug-and-Play Method for Multi-Aspect Controllable Text Generation ACL 2023 Knowledge Transfer in Incremental Learning for Multilingual Neural Machine Translation ACL 2023 KG-FLIP: Knowledge-guided Fashion-domain Language-Image Pre-training for E-commerce ACL 2023 Unified Contextual Query Rewriting ACL 2023 T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image Generation ACL 2023 Modeling Adversarial Attack on Pre-trained Language Models as Sequential Decision Making ACL 2023 Progressive Translation: Improving Domain Robustness of Neural Machine Translation with Intermediate Sequences ACL 2023 Prompt-Guided Retrieval Augmentation for Non-Knowledge-Intensive Tasks ACL 2023 Improving Radiology Summarization with Radiograph and Anatomy Prompts ACL 2023 SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency CVPR 2023 Towards Generalisable Video Moment Retrieval: Visual-Dynamic Injection to Image-Text Pre-Training CVPR 2023 COT: Unsupervised Domain Adaptation With Clustering and Optimal Transport CVPR 2023 Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack CVPR 2023 Unifying Vision, Text, and Layout for Universal Document Processing CVPR 2023 Soft Augmentation for Image Classification CVPR 2023 Selective In-Context Data Augmentation for Intent Detection using Pointwise V-Information EACL 2023 PREME: Preference-based Meeting Exploration through an Interactive Questionnaire EACL 2023 PLACES: Prompting Language Models for Social Conversation Synthesis EACL 2023 Mining Effective Features Using Quantum Entropy for Humor Recognition EACL 2023 Failures Pave the Way: Enhancing Large Language Models through Tuning-free Rule Accumulation EMNLP 2023 The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions EMNLP 2023 G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment EMNLP 2023 CESAR: Automatic Induction of Compositional Instructions for Multi-turn Dialogs EMNLP 2023 Learn and Consolidate: Continual Adaptation for Zero-Shot and Multilingual Neural Machine Translation EMNLP 2023 In-Context Demonstration Selection with Cross Entropy Difference EMNLP 2023 Filling the Image Information Gap for VQA: Prompting Large Language Models to Proactively Ask Questions EMNLP 2023 A Black-Box Attack on Code Models via Representation Nearest Neighbor Search EMNLP 2023 Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models EMNLP 2023 Self-Knowledge Guided Retrieval Augmentation for Large Language Models EMNLP 2023 Using In-Context Learning to Improve Dialogue Safety EMNLP 2023 InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT EMNLP 2023 DialGuide: Aligning Dialogue Model Behavior with Developer Guidelines EMNLP 2023 LMGQS: A Large-scale Dataset for Query-focused Summarization EMNLP 2023 Enhanced Soft Label for Semi-Supervised Semantic Segmentation ICCV 2023 SkeletonMAE: Graph-based Masked Autoencoder for Skeleton Sequence Pre-training ICCV 2023 Spatio-Temporal Domain Awareness for Multi-Agent Collaborative Perception ICCV 2023 AIDE: A Vision-Driven Multi-View, Multi-Modal, Multi-Tasking Dataset for Assistive Driving Perception ICCV 2023 Feature Prediction Diffusion Model for Video Anomaly Detection ICCV 2023 Confidence-aware Pseudo-label Learning for Weakly Supervised Visual Grounding ICCV 2023 Efficient Adaptive Human-Object Interaction Detection with Concept-guided Memory ICCV 2023 Masked Retraining Teacher-Student Framework for Domain Adaptive Object Detection ICCV 2023 Moment Detection in Long Tutorial Videos ICCV 2023 Improving Generalization in Visual Reinforcement Learning via Conflict-aware Gradient Agreement Augmentation ICCV 2023 MV-DeepSDF: Implicit Modeling with Multi-Sweep Point Clouds for 3D Vehicle Reconstruction in Autonomous Driving ICCV 2023 SKiT: a Fast Key Information Video Transformer for Online Surgical Phase Recognition ICCV 2023 TransFace: Calibrating Transformer Training for Face Recognition from a Data-Centric Perspective ICCV 2023 Improving the imputation of missing data with Markov Blanket discovery ICLR 2023 Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors ICLR 2023 Mitigating Memorization of Noisy Labels via Regularization between Representations ICLR 2023 Distributionally Robust Post-hoc Classifiers under Prior Shifts ICLR 2023 Revisiting Graph Adversarial Attack and Defense From a Data Distribution Perspective ICLR 2023 Multimodal Federated Learning via Contrastive Representation Ensemble ICLR 2023 Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization ICLR 2023 DamoFD: Digging into Backbone Design on Face Detection ICLR 2023 Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search ICLR 2023 Conditional Antibody Design as 3D Equivariant Graph Translation ICLR 2023 Model Transferability with Responsive Decision Subjects ICML 2023 End-to-End Full-Atom Antibody Design ICML 2023 FAIRER: Fairness as Decision Rationale Alignment ICML 2023 Identifiability of Label Noise Transition Matrix ICML 2023 Tensor Gaussian Process with Contraction for Multi-Channel Imaging Analysis ICML 2023 Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics ICML 2023 Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes ICML 2023 Incentivizing Recourse through Auditing in Strategic Classification IJCAI 2023 Fairness via Group Contribution Matching IJCAI 2023 CostFormer:Cost Transformer for Cost Aggregation in Multi-view Stereo IJCAI 2023 DenseLight: Efficient Control for Large-scale Traffic Signals with Dense Feedback IJCAI 2023 The Importance of Human-Labeled Data in the Era of LLMs IJCAI 2023 Clinical note section classification on doctor-patient conversations in low-resourced settings IJCNLP 2023 Factual Consistency Oriented Speech Recognition INTERSPEECH 2023 Multi-Level Knowledge Distillation for Speech Emotion Recognition in Noisy Conditions INTERSPEECH 2023 Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features ICML 2022 CLRNet: Cross Layer Refinement Network for Lane Detection CVPR 2022 Learning To Affiliate: Mutual Centralized Learning for Few-Shot Classification CVPR 2022 Emotion Recognition for Multiple Context Awareness ECCV 2022 Video Activity Localisation with Uncertainties in Temporal Boundary ECCV 2022 Where to Focus: Investigating Hierarchical Attention Relationship for Fine-Grained Visual Classification ECCV 2022 Rethinking Data Augmentation in Text-to-text Paradigm COLING 2022 DuelGAN: A Duel between Two Discriminators Stabilizes the GAN Training ECCV 2022 Adversarial Contrastive Learning via Asymmetric InfoNCE ECCV 2022 Assessing Multilingual Fairness in Pre-trained Multimodal Representations ACL 2022 Interpretable Research Replication Prediction via Variational Contextual Consistency Sentence Masking ACL 2022 What is wrong with you?: Leveraging User Sentiment for Automatic Dialog Evaluation ACL 2022 Leveraging Seq2seq Language Generation for Multi-level Product Issue Identification ACL 2022 DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization AAAI 2022 Contribution-Aware Federated Learning for Smart Healthcare AAAI 2022 Adaptive A/B Test on Networks with Cluster Structures AISTATS 2022 Automatically Detecting Reduced-formed English Pronunciations by Using Deep Learning NAACL 2022 Learn from Relation Information: Towards Prototype Representation Rectification for Few-Shot Relation Extraction NAACL 2022 Empowering parameter-efficient transfer learning by recognizing the kernel structure in self-attention NAACL 2022 Overcoming Catastrophic Forgetting During Domain Adaptation of Seq2seq Language Generation NAACL 2022 Enhancing Knowledge Selection for Grounded Dialogues via Document Semantic Graphs NAACL 2022 Hero-Gang Neural Model For Named Entity Recognition NAACL 2022 Detecting Corrupted Labels Without Training a Model to Predict ICML 2022 Fair Classification with Instance-dependent Label Noise CLEAR 2022 Improving Bayesian Network Structure Learning in the Presence of Measurement Error JMLR 2022 Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network ICML 2022 Metric-Fair Classifier Derandomization ICML 2022 To Smooth or Not? When Label Smoothing Meets Noisy Labels ICML 2022 Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning ICLR 2022 A Class of Short-term Recurrence Anderson Mixing Methods and Their Applications ICLR 2022 On Robust Prefix-Tuning for Text Classification ICLR 2022 Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning ICLR 2022 Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations ICLR 2022 The Rich Get Richer: Disparate Impact of Semi-Supervised Learning ICLR 2022 Unsupervised Multi-Granularity Summarization EMNLP 2022 Task Compass: Scaling Multi-task Pre-training with Task Prefix EMNLP 2022 Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning EMNLP 2022 Towards a Unified Multi-Dimensional Evaluator for Text Generation EMNLP 2022 Certifying Some Distributional Fairness with Subpopulation Decomposition NIPS 2022 GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis NIPS 2022 A Variant of Anderson Mixing with Minimal Memory Size NIPS 2022 Fairness Transferability Subject to Bounded Distribution Shift NIPS 2022 A Closer Look at the Adversarial Robustness of Deep Equilibrium Models NIPS 2022 Molecule Generation by Principal Subgraph Mining and Assembling NIPS 2022 AdaPrompt: Adaptive Model Training for Prompt-based NLP EMNLP 2022 Understanding Instance-Level Impact of Fairness Constraints ICML 2022 Directed Acyclic Transformer for Non-Autoregressive Machine Translation ICML 2022 Investigating Generalization by Controlling Normalized Margin ICML 2022 CGF: Constrained Generation Framework for Query Rewriting in Conversational AI EMNLP 2022 Discriminative Feature Representation Based on Cascaded Attention Network with Adversarial Joint Loss for Speech Emotion Recognition INTERSPEECH 2022 Analyzing the Limits of Self-Supervision in Handling Bias in Language EMNLP 2022 Adaptive Data Debiasing through Bounded Exploration NIPS 2022 Distilling Governing Laws and Source Input for Dynamical Systems from Videos IJCAI 2022 Fair and Accurate Age Prediction Using Distribution Aware Data Curation and Augmentation WACV 2022 A Label Dependence-Aware Sequence Generation Model for Multi-Level Implicit Discourse Relation Recognition AAAI 2022 SCALoss: Side and Corner Aligned Loss for Bounding Box Regression AAAI 2022 End-to-End Unsupervised Vision-and-Language Pre-training with Referring Expression Matching EMNLP 2022 Entropy-Based Vocabulary Substitution for Incremental Learning in Multilingual Neural Machine Translation EMNLP 2022 ParaTag: A Dataset of Paraphrase Tagging for Fine-Grained Labels, NLG Evaluation, and Data Augmentation EMNLP 2022 Opening Up Open World Tracking CVPR 2022 Cross Modal Retrieval With Querybank Normalisation CVPR 2022 Can You Spot the Chameleon? Adversarially Camouflaging Images From Co-Salient Object Detection CVPR 2022 Dual Adversarial Adaptation for Cross-Device Real-World Image Super-Resolution CVPR 2022 MogFace: Towards a Deeper Appreciation on Face Detection CVPR 2022 Weakly Supervised Temporal Sentence Grounding With Gaussian-Based Contrastive Proposal Learning CVPR 2022 Context-Situated Pun Generation EMNLP 2022 Weakly Supervised Video Moment Localization with Contrastive Negative Sample Mining AAAI 2022 DMN4: Few-Shot Learning via Discriminative Mutual Nearest Neighbor Neural Network AAAI 2022 Exploring Motion and Appearance Information for Temporal Sentence Grounding AAAI 2022 Perceptual Quality Assessment of Omnidirectional Images AAAI 2022 TransZero: Attribute-Guided Transformer for Zero-Shot Learning AAAI 2022 Towards Controlling the Transmission of Diseases: Continuous Exposure Discovery over Massive-Scale Moving Objects IJCAI 2022 Learning Prototype via Placeholder for Zero-shot Recognition IJCAI 2022 Vision Shared and Representation Isolated Network for Person Search IJCAI 2022 ExPUNations: Augmenting Puns with Keywords and Explanations EMNLP 2022 A Template-based Method for Constrained Neural Machine Translation EMNLP 2022 Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation ACL 2022 Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data ACL 2022 MSP: Multi-Stage Prompting for Making Pre-trained Language Models Better Translators ACL 2022 Integrating Vectorized Lexical Constraints for Neural Machine Translation ACL 2022 End-to-End Segmentation-based News Summarization ACL 2022 A Simple yet Effective Relation Information Guided Approach for Few-Shot Relation Extraction ACL 2022 VISITRON: Visual Semantics-Aligned Interactively Trained Object-Navigator ACL 2022 Alternated Training with Synthetic and Authentic Data for Neural Machine Translation ACL 2021 HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning NIPS 2021 Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial NIPS 2021 Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN Models IJCAI 2021 Understanding Structural Vulnerability in Graph Convolutional Networks IJCAI 2021 Physics-informed Spline Learning for Nonlinear Dynamics Discovery IJCAI 2021 Spline Positional Encoding for Learning 3D Implicit Signed Distance Fields IJCAI 2021 AVA: Adversarial Vignetting Attack against Visual Recognition IJCAI 2021 Relighting Images in the Wild With a Self-Supervised Siamese Auto-Encoder WACV 2021 WDNet: Watermark-Decomposition Network for Visible Watermark Removal WACV 2021 Reinforcement Learning-based Product Delivery Frequency Control AAAI 2021 Decision-Guided Weighted Automata Extraction from Recurrent Neural Networks AAAI 2021 Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination AAAI 2021 EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining AAAI 2021 A Second-Order Approach to Learning With Instance-Dependent Label Noise CVPR 2021 Goal-Oriented Gaze Estimation for Zero-Shot Learning CVPR 2021 Deep Implicit Moving Least-Squares Functions for 3D Reconstruction CVPR 2021 Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval CVPR 2021 Privacy-Preserving Collaborative Learning With Automatic Transformation Search CVPR 2021 Auto-Exposure Fusion for Single-Image Shadow Removal CVPR 2021 Invertible Denoising Network: A Light Solution for Real Noise Removal CVPR 2021 Leveraging Word-Formation Knowledge for Chinese Word Sense Disambiguation EMNLP 2021 Effective Convolutional Attention Network for Multi-label Clinical Document Classification EMNLP 2021 Learning to Selectively Learn for Weakly-supervised Paraphrase Generation EMNLP 2021 Self-Supervised Quality Estimation for Machine Translation EMNLP 2021 Segment, Mask, and Predict: Augmenting Chinese Word Segmentation with Self-Supervision EMNLP 2021 Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search EMNLP 2021 Diversity and Consistency: Exploring Visual Question-Answer Pair Generation EMNLP 2021 Knowledge Representation Learning with Contrastive Completion Coding EMNLP 2021 Cross-Sentence Temporal and Semantic Relations in Video Activity Localisation ICCV 2021 Learning To Adversarially Blur Visual Object Tracking ICCV 2021 TeachText: CrossModal Generalized Distillation for Text-Video Retrieval ICCV 2021 Unpaired Learning for Deep Image Deraining With Rain Direction Regularizer ICCV 2021 Interpolation-Aware Padding for 3D Sparse Convolutional Neural Networks ICCV 2021 Mind-the-Gap! Unsupervised Domain Adaptation for Text-Video Retrieval AAAI 2021 Want To Reduce Labeling Cost? GPT-3 Can Help EMNLP 2021 Statistically Significant Detection of Semantic Shifts using Contextual Word Embeddings EMNLP 2021 Modeling Entity Knowledge for Fact Verification EMNLP 2021 Exploring Word Segmentation and Medical Concept Recognition for Chinese Medical Texts NAACL 2021 When Optimizing $f$-Divergence is Robust with Label Noise ICLR 2021 Learning with Instance-Dependent Label Noise: A Sample Sieve Approach ICLR 2021 Retrieval-Augmented Generation for Code Summarization via Hybrid GNN ICLR 2021 Think Before You Speak: Learning to Generate Implicit Knowledge for Response Generation by Self-Talk EMNLP 2021 Towards Zero and Few-shot Knowledge-seeking Turn Detection in Task-orientated Dialogue Systems EMNLP 2021 Entity Resolution in Open-domain Conversations NAACL 2021 Optimizing NLU Reranking Using Entity Resolution Signals in Multi-domain Dialog Systems NAACL 2021 MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization NAACL 2021 QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization NAACL 2021 Decompose, Fuse and Generate: A Formation-Informed Method for Chinese Definition Generation NAACL 2021 Noisy Self-Knowledge Distillation for Text Summarization NAACL 2021 Sample Elicitation AISTATS 2021 Linear Models are Robust Optimal Under Strategic Behavior AISTATS 2021 FATE: An Industrial Grade Platform for Collaborative Learning With Data Protection JMLR 2021 Improving Factual Consistency of Abstractive Summarization on Customer Feedback ACL 2021 Personalized Entity Resolution with Dynamic Heterogeneous KnowledgeGraph Representations ACL 2021 DialogSum: A Real-Life Scenario Dialogue Summarization Dataset ACL 2021 On the Language Coverage Bias for Neural Machine Translation ACL 2021 Retrieval Enhanced Model for Commonsense Generation ACL 2021 Fusing Context Into Knowledge Graph for Commonsense Question Answering ACL 2021 Transfer Learning for Sequence Generation: from Single-source to Multi-source ACL 2021 Mask-Align: Self-Supervised Neural Word Alignment ACL 2021 Understanding Instance-Level Label Noise: Disparate Impacts and Treatments ICML 2021 Learning by Turning: Neural Architecture Aware Optimisation ICML 2021 RNNRepair: Automatic RNN Repair via Model-based Analysis ICML 2021 Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels ICML 2021 How Powerful are Performance Predictors in Neural Architecture Search? NIPS 2021 Bandit Learning with Delayed Impact of Actions NIPS 2021 Unintended Selection: Persistent Qualification Rate Disparities and Interventions NIPS 2021 Stochastic Anderson Mixing for Nonconvex Stochastic Optimization NIPS 2021 Deconvolutional Networks on Graph Data NIPS 2021 Policy Learning Using Weak Supervision NIPS 2021 Leveraging ASR N-Best in Deep Entity Retrieval INTERSPEECH 2021 Improving Factual Consistency of Abstractive Summarization on Customer Feedback IJCNLP 2021 Personalized Entity Resolution with Dynamic Heterogeneous KnowledgeGraph Representations IJCNLP 2021 DialogSum: A Real-Life Scenario Dialogue Summarization Dataset IJCNLP 2021 On the Language Coverage Bias for Neural Machine Translation IJCNLP 2021 Retrieval Enhanced Model for Commonsense Generation IJCNLP 2021 Alternated Training with Synthetic and Authentic Data for Neural Machine Translation IJCNLP 2021 Fusing Context Into Knowledge Graph for Commonsense Question Answering IJCNLP 2021 Transfer Learning for Sequence Generation: from Single-source to Multi-source IJCNLP 2021 Mask-Align: Self-Supervised Neural Word Alignment IJCNLP 2021 Accurate Word Alignment Induction from Neural Machine Translation EMNLP 2020 Research Replication Prediction Using Weakly Supervised Learning EMNLP 2020 Incorporating Commonsense Knowledge Graph in Pretrained Models for Social Commonsense Tasks EMNLP 2020 Plug-and-Play Algorithms for Large-Scale Snapshot Compressive Imaging CVPR 2020 Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation CVPR 2020 Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates ICML 2020 Interpolation between Residual and Non-Residual Networks ICML 2020 ASR Error Correction with Augmented Transformer for Entity Retrieval INTERSPEECH 2020 Are Neural Open-Domain Dialog Systems Robust to Speech Recognition Errors in the Dialog History? An Empirical Study INTERSPEECH 2020 Watch out! Motion is Blurring the Vision of Your Deep Neural Networks NIPS 2020 Optimal Query Complexity of Secure Stochastic Convex Optimization NIPS 2020 BFBox: Searching Face-Appropriate Backbone and Feature Pyramid Network for Face Detector CVPR 2020 On Identifiability in Transformers ICLR 2020 Discrepancy Ratio: Evaluating Model Performance When Even Experts Disagree on the Truth ICLR 2020 A Hybrid System for NLPTEA-2020 CGED Shared Task AACL 2020 HAMBox: Delving Into Mining High-Quality Anchors on Face Detection CVPR 2020 PFCNN: Convolutional Neural Networks on 3D Surfaces Using Parallel Frames CVPR 2020 Online Learning Using Only Peer Prediction AISTATS 2020 Combinatorial Multi-Armed Bandits with Concave Rewards and Fairness Constraints IJCAI 2020 Synthetic Examples Improve Generalization for Rare Classes WACV 2020 Pose Guided Gated Fusion for Person Re-identification WACV 2020 Latent Topic-aware Multi-Label Classification ECCV 2020 SPARK: Spatial-aware Online Incremental Attack Against Visual Tracking ECCV 2020 Continuous Multiagent Control Using Collective Behavior Entropy for Large-Scale Home Energy Management AAAI 2020 Generating Adversarial Examples for Holding Robustness of Source Code Processing Models AAAI 2020 Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach AAAI 2020 Multi-Zone Unit for Recurrent Neural Networks AAAI 2020 Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning AAAI 2020 Reinforcement Learning with Perturbed Rewards AAAI 2020 Structure-Aware Feature Fusion for Unsupervised Domain Adaptation AAAI 2020 Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning IJCAI 2020 FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces IJCAI 2020 Modeling Voting for System Combination in Machine Translation IJCAI 2020 A Multi-player Game for Studying Federated Learning Incentive Schemes IJCAI 2020 How do fair decisions fare in long-term qualification? NIPS 2020 Learning Strategy-Aware Linear Classifiers NIPS 2020 Entity Linking for Short Text Using Structured Knowledge Graph via Multi-Grained Text Matching INTERSPEECH 2020 Recognize Mispronunciations to Improve Non-Native Acoustic Modeling Through a Phone Decoder Built from One Edit Distance Finite State Automaton INTERSPEECH 2020 Speech Sentiment and Customer Satisfaction Estimation in Socialbot Conversations INTERSPEECH 2020 On the Inference Calibration of Neural Machine Translation ACL 2020 Image Formation Model Guided Deep Image Super-Resolution AAAI 2020 FedVision: An Online Visual Object Detection Platform Powered by Federated Learning AAAI 2020 Amplifying Key Cues for Human-Object-Interaction Detection ECCV 2020 ODE-Inspired Network Design for Single Image Super-Resolution CVPR 2019 Compressing Unknown Images With Product Quantizer for Efficient Zero-Shot Classification CVPR 2019 Learning Deep Priors for Image Dehazing ICCV 2019 Attribute Attention for Semantic Disambiguation in Zero-Shot Learning ICCV 2019 EWGAN: Entropy-Based Wasserstein GAN for Imbalanced Learning AAAI 2019 Recognizing Unseen Attribute-Object Pair with Generative Model AAAI 2019 A Multi-Agent Communication Framework for Question-Worthy Phrase Extraction and Question Generation AAAI 2019 Dependency Grammar Induction with a Neural Variational Transition-Based Parser AAAI 2019 Implanting Rational Knowledge into Distributed Representation at Morpheme Level AAAI 2019 Randomized Wagering Mechanisms AAAI 2019 Bayesian Fairness AAAI 2019 Automated Essay Scoring with Discourse-Aware Neural Models ACL 2019 The LAIX Systems in the BEA-2019 GEC Shared Task ACL 2019 Reducing Word Omission Errors in Neural Machine Translation: A Contrastive Learning Approach ACL 2019 Generating Summaries with Topic Templates and Structured Convolutional Decoders ACL 2019 Hierarchical Transformers for Multi-Document Summarization ACL 2019 Shared-Private Bilingual Word Embeddings for Neural Machine Translation ACL 2019 Fairness without Harm: Decoupled Classifiers with Preference Guarantees ICML 2019 Matching User with Item Set: Collaborative Bundle Recommendation with Deep Attention Network IJCAI 2019 Worst-Case Discriminative Feature Selection IJCAI 2019 Graph and Autoencoder Based Feature Extraction for Zero-shot Learning IJCAI 2019 Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness IJCAI 2019 DiffChaser: Detecting Disagreements for Deep Neural Networks IJCAI 2019 Multi-Agent Visualization for Explaining Federated Learning IJCAI 2019 Fair and Explainable Dynamic Engagement of Crowd Workers IJCAI 2019 Improving Back-Translation with Uncertainty-based Confidence Estimation IJCNLP 2019 Iterative Dual Domain Adaptation for Neural Machine Translation IJCNLP 2019 Text Summarization with Pretrained Encoders IJCNLP 2019 Learning to Copy for Automatic Post-Editing IJCNLP 2019 On the Role of Style in Parsing Speech with Neural Models INTERSPEECH 2019 Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks NIPS 2019 A Discourse Signal Annotation System for RST Trees NAACL 2019 Beyond The Wall Street Journal: Anchoring and Comparing Discourse Signals across Genres NAACL 2019 GumDrop at the DISRPT2019 Shared Task: A Model Stacking Approach to Discourse Unit Segmentation and Connective Detection NAACL 2019 Single Document Summarization as Tree Induction NAACL 2019 Improving Back-Translation with Uncertainty-based Confidence Estimation EMNLP 2019 Iterative Dual Domain Adaptation for Neural Machine Translation EMNLP 2019 Text Summarization with Pretrained Encoders EMNLP 2019 Learning to Copy for Automatic Post-Editing EMNLP 2019 Pitch Characteristics of L2 English Speech by Chinese Speakers: A Large-scale Study INTERSPEECH 2018 Two-Step Quantization for Low-Bit Neural Networks CVPR 2018 Towards Robust Neural Machine Translation ACL 2018 Where and Why Are They Looking? Jointly Inferring Human Attention and Intentions in Complex Tasks CVPR 2018 Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing NIPS 2018 Learning Dual Convolutional Neural Networks for Low-Level Vision CVPR 2018 Transductive Unbiased Embedding for Zero-Shot Learning CVPR 2018 Re-Weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation CVPR 2018 Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations NAACL 2018 Zero Shot Learning via Low-rank Embedded Semantic AutoEncoder IJCAI 2018 Learning with Adaptive Neighbors for Image Clustering IJCAI 2018 Hierarchical Attention Based Position-Aware Network for Aspect-Level Sentiment Analysis CONLL 2018 Synthetically Supervised Feature Learning for Scene Text Recognition ECCV 2018 Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields ECCV 2018 Incorporating Argument-Level Interactions for Persuasion Comments Evaluation using Co-attention Model COLING 2018 A Reinforcement Learning Framework for Natural Question Generation using Bi-discriminators COLING 2018 Multi-scale and Discriminative Part Detectors Based Features for Multi-label Image Classification IJCAI 2018 Energy-efficient Amortized Inference with Cascaded Deep Classifiers IJCAI 2018 Multi-Domain Neural Machine Translation with Word-Level Domain Context Discrimination EMNLP 2018 Improving the Transformer Translation Model with Document-Level Context EMNLP 2018 Structured Alignment Networks for Matching Sentences EMNLP 2018 Incorporating Topic Aspects for Online Comment Convincingness Evaluation EMNLP 2018 Multi-Task Adversarial Network for Disentangled Feature Learning CVPR 2018 Joint Learning of Phenotypes and Diagnosis-Medication Correspondence via Hidden Interaction Tensor Factorization IJCAI 2018 Liulishuo's System for the Spoken CALL Shared Task 2018 INTERSPEECH 2018 Using Context Information for Dialog Act Classification in DNN Framework EMNLP 2017 Jointly Recognizing Object Fluents and Tasks in Egocentric Videos ICCV 2017 Earth Mover’s Distance Minimization for Unsupervised Bilingual Lexicon Induction EMNLP 2017 Learning Contextually Informed Representations for Linear-Time Discourse Parsing EMNLP 2017 Joint Training for Pivot-based Neural Machine Translation IJCAI 2017 Visualizing and Understanding Neural Machine Translation ACL 2017 Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization ACL 2017 A Teacher-Student Framework for Zero-Resource Neural Machine Translation ACL 2017 Adversarial Training for Unsupervised Bilingual Lexicon Induction ACL 2017 Crowd Learning: Improving Online Decision Making Using Crowdsourced Data IJCAI 2017 Maximum Expected Likelihood Estimation for Zero-resource Neural Machine Translation IJCAI 2017 Video2Shop: Exact Matching Clothes in Videos to Online Shopping Images CVPR 2017 A non-DNN Feature Engineering Approach to Dependency Parsing – FBAML at CoNLL 2017 Shared Task CONLL 2017 The HIT-SCIR System for End-to-End Parsing of Universal Dependencies CONLL 2017 Centered Weight Normalization in Accelerating Training of Deep Neural Networks ICCV 2017 Multi-View People Tracking via Hierarchical Trajectory Composition CVPR 2016 A Bandit Framework for Strategic Regression NIPS 2016 Semi-Supervised Learning for Neural Machine Translation ACL 2016 Recognizing Implicit Discourse Relations via Repeated Reading: Neural Networks with Multi-Level Attention EMNLP 2016 Inducing Bilingual Lexica From Non-Parallel Data With Earth Mover’s Distance Regularization COLING 2016 Using Relevant Public Posts to Enhance News Article Summarization COLING 2016 Is This Post Persuasive? Ranking Argumentative Comments in Online Forum ACL 2016 An Efficient Cross-lingual Model for Sentence Classification Using Convolutional Neural Network ACL 2016 DBN-ivector Framework for Acoustic Emotion Recognition INTERSPEECH 2016 Modeling Coverage for Neural Machine Translation ACL 2016 Agreement-based Learning of Parallel Lexicons and Phrases from Non-Parallel Corpora ACL 2016 Minimum Risk Training for Neural Machine Translation ACL 2016 Agreement-Based Joint Training for Bidirectional Attention-Based Neural Machine Translation IJCAI 2016 Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin ICML 2016 Learning to Incentivize: Eliciting Effort via Output Agreement IJCAI 2016 Consistency-Aware Search for Word Alignment EMNLP 2015 A Context-Aware Topic Model for Statistical Machine Translation ACL 2015 Improving Named Entity Recognition in Tweets via Detecting Non-Standard Words ACL 2015 Feature Selection in Kernel Space: A Case Study on Dependency Parsing ACL 2015 A Context-Aware Topic Model for Statistical Machine Translation IJCNLP 2015 Improving Named Entity Recognition in Tweets via Detecting Non-Standard Words IJCNLP 2015 Feature Selection in Kernel Space: A Case Study on Dependency Parsing IJCNLP 2015 Learning Tag Embeddings and Tag-specific Composition Functions in Recursive Neural Network IJCNLP 2015 Using Tweets to Help Sentence Compression for News Highlights Generation IJCNLP 2015 A Dependency-Based Neural Network for Relation Classification IJCNLP 2015 Learning Cross-lingual Word Embeddings via Matrix Co-factorization IJCNLP 2015 The Discovery of Natural Typing Annotations: User-produced Potential Chinese Word Delimiters IJCNLP 2015 Learning Tag Embeddings and Tag-specific Composition Functions in Recursive Neural Network ACL 2015 Using Tweets to Help Sentence Compression for News Highlights Generation ACL 2015 A Dependency-Based Neural Network for Relation Classification ACL 2015 Learning Cross-lingual Word Embeddings via Matrix Co-factorization ACL 2015 The Discovery of Natural Typing Annotations: User-produced Potential Chinese Word Delimiters ACL 2015 Using External Resources and Joint Learning for Bigram Weighting in ILP-Based Multi-Document Summarization NAACL 2015 Improving Update Summarization via Supervised ILP and Sentence Reranking NAACL 2015 Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Tutorial Abstracts NAACL 2015 yiGou: A Semantic Text Similarity Computing System Based on SVM SEMEVAL 2015 Bilingual Correspondence Recursive Autoencoder for Statistical Machine Translation EMNLP 2015 Generalized Agreement for Bidirectional Word Alignment EMNLP 2015 Joint POS Tagging and Text Normalization for Informal Text IJCAI 2015 Iterative Learning of Parallel Lexicons and Phrases from Non-Parallel Corpora IJCAI 2015 Quantifying Robustness of Trust Systems against Collusive Unfair Rating Attacks Using Information Theory IJCAI 2015 Improving Multi-documents Summarization by Sentence Compression based on Expanded Constituent Parse Trees EMNLP 2014 Polynomial Time Joint Structural Inference for Sentence Compression ACL 2014 Willow: A User-Programmable SSD OSDI 2014 Exploring Fine-grained Entity Type Constraints for Distantly Supervised Relation Extraction COLING 2014 Query Lattice for Translation Retrieval COLING 2014 A Neural Reordering Model for Phrase-based Translation COLING 2014 Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics: Tutorials ACL 2014 Improving Text Normalization via Unsupervised Model and Discriminative Reranking ACL 2014 Document Summarization via Guided Sentence Compression EMNLP 2013 Weakly-Supervised Dual Clustering for Image Semantic Segmentation CVPR 2013 Attribute Relation Extraction from Template-inconsistent Semi-structured Text by Leveraging Site-level Knowledge IJCNLP 2013 Fast Joint Compression and Summarization via Graph Cuts EMNLP 2013 Statistical Machine Translation Improves Question Retrieval in Community Question Answering via Matrix Factorization ACL 2013 A Shift-Reduce Parsing Algorithm for Phrase-based String-to-Dependency Translation ACL 2013 Improving Question Retrieval in Community Question Answering Using World Knowledge IJCAI 2013 Using Supervised Bigram-based ILP for Extractive Summarization ACL 2013 Opinion Target Extraction Using Partially-Supervised Word Alignment Model IJCAI 2013 Disfluency Detection Using Multi-step Stacked Learning NAACL 2013 Recursive Autoencoders for ITG-Based Translation EMNLP 2013 Unsupervised Domain Adaptation for Joint Segmentation and POS-Tagging COLING 2012 Improving Text Normalization using Character-Blocks Based Models and System Combination COLING 2012 Unsupervised Discriminative Induction of Synchronous Grammar for Machine Translation COLING 2012 A Beam Search Algorithm for ITG Word Alignment COLING 2012 Combining Multiple Alignments to Improve Machine Translation COLING 2012 Be Conservative: Enhancing Failure Diagnosis with Proactive Logging OSDI 2012 THUTR: A Translation Retrieval System COLING 2012 Joint Chinese Word Segmentation, POS Tagging and Parsing CONLL 2012 Left-to-Right Tree-to-String Decoding with Prediction CONLL 2012 User Participation Prediction in Online Forums EACL 2012 Joint Chinese Word Segmentation, POS Tagging and Parsing EMNLP 2012 Left-to-Right Tree-to-String Decoding with Prediction EMNLP 2012 Sentence Dependency Tagging in Online Question Answering Forums ACL 2012 A Two-step Approach to Sentence Compression of Spoken Utterances ACL 2012 N-Best Rescoring Based on Pitch-accent Patterns ACL 2011 A Pilot Study of Opinion Summarization in Conversations ACL 2011 Fast Generation of Translation Forest for Large-Scale SMT Discriminative Training EMNLP 2011 Finding Problem Solving Threads in Online Forum IJCNLP 2011 Extracting Hierarchical Rules from a Weighted Alignment Matrix IJCNLP 2011 Learning from Chinese-English Parallel Data for Chinese Tense Prediction IJCNLP 2011 ETS: An Error Tolerable System for Coreference Resolution CONLL 2011 Automatic Summarization ACL 2011 Interactive Group Suggesting for Twitter ACL 2011 A Character-Level Machine Translation Approach for Normalization of SMS Abbreviations IJCNLP 2011 Insertion, Deletion, or Substitution? Normalizing Text Messages without Pre-categorization nor Supervision ACL 2011 Adjoining Tree-to-String Translation ACL 2011 Coling 2010: Demonstrations COLING 2010 Effective Constituent Projection across Languages COLING 2010 An Efficient Shift-Reduce Decoding Algorithm for Phrased-Based Machine Translation COLING 2010 Joint Tokenization and Translation COLING 2010 Learning Lexicalized Reordering Models from Reordering Graphs ACL 2010 Using Confusion Networks for Speech Summarization NAACL 2010 Dependency Forest for Statistical Machine Translation COLING 2010 Joint Parsing and Translation COLING 2010 Tree-Based and Forest-Based Translation ACL 2010 Improving Blog Polarity Classification via Topic Analysis and Adaptive Methods NAACL 2010 Dependency-Based Bracketing Transduction Grammar for Statistical Machine Translation COLING 2010 Weighted Alignment Matrices for Statistical Machine Translation EMNLP 2009 Lattice-based System Combination for Statistical Machine Translation EMNLP 2009 Improving Tree-to-Tree Translation with Packed Forests IJCNLP 2009 Unsupervised Approaches for Automatic Keyword Extraction Using Meeting Transcripts NAACL 2009 Improving Tree-to-Tree Translation with Packed Forests ACL 2009 Joint Decoding with Multiple Translation Models IJCNLP 2009 A Corpus-Based Approach for the Prediction of Language Impairment in Monolingual English and Spanish-English Bilingual Children NAACL 2009 Sub-Sentence Division for Tree-Based Machine Translation ACL 2009 Joint Decoding with Multiple Translation Models ACL 2009 Sub-Sentence Division for Tree-Based Machine Translation IJCNLP 2009 From Extractive to Abstractive Meeting Summaries: Can It Be Done by Sentence Compression? IJCNLP 2009 Semi-supervised Learning for Automatic Prosodic Event Detection Using Co-training Algorithm ACL 2009 Semi-supervised Learning for Automatic Prosodic Event Detection Using Co-training Algorithm IJCNLP 2009 From Extractive to Abstractive Meeting Summaries: Can It Be Done by Sentence Compression? ACL 2009 Part-of-Speech Tagging for English-Spanish Code-Switched Text EMNLP 2008 Maximum Entropy based Rule Selection Model for Syntax-based Statistical Machine Translation EMNLP 2008 Correlation between ROUGE and Human Evaluation of Extractive Meeting Summaries ACL 2008 Learning to Predict Code-Switching Points EMNLP 2008 Unsupervised Language Model Adaptation Incorporating Named Entity Information ACL 2007 Forest-to-String Statistical Translation Rules ACL 2007 Look Who is Talking: Soundbite Speaker Name Recognition in Broadcast News Speech NAACL 2007 Initial Study on Automatic Identification of Speaker Role in Broadcast News Speech NAACL 2006 PCFGs with Syntactic and Prosodic Indicators of Speech Repairs COLING 2006 Tree-to-String Alignment Template for Statistical Machine Translation COLING 2006 PCFGs with Syntactic and Prosodic Indicators of Speech Repairs ACL 2006 Tree-to-String Alignment Template for Statistical Machine Translation ACL 2006 Using Conditional Random Fields for Sentence Boundary Detection in Speech ACL 2005 Log-Linear Models for Word Alignment ACL 2005 Comparing and Combining Generative and Posterior Probability Models: Some Advances in Sentence Boundary Detection in Speech EMNLP 2004 Word Fragments Identification Using Acoustic-Prosodic Features in Conversational Speech NAACL 2003 Building a Bilingual WordNet-Like Lexicon: The New Approach and Algorithms COLING 2002