Qi Zhang

Beyond Scaling: Measuring and Predicting the Upper Bound of Knowledge Retention in Language Model Pre-Training ACL 2026 VRPO: Rethinking Value Modeling for Robust RL under Noisy Supervision in LLM Post-Training ACL 2026 Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination AAAI 2026 Time-Frequency Token Advantage Clipping for Training Efficient Large Reasoning Model AAAI 2026 ORTCL: Towards Continual Learning of Time Series Foundation Models on Streaming Data via Orthogonal Rotation AAAI 2026 DFRec: Dual Fluctuation Modeling of Multi-level Intent Evolution for Next-Item Recommendation AAAI 2026 UV-RGS: Relightable 3D Gaussian Splatting from Unposed Views Under Varied Illuminations AAAI 2026 One-Shot Refiner: Boosting Feed-forward Novel View Synthesis via One-Step Diffusion AAAI 2026 Unveiling the Deficiencies of Pre-trained Text-and-Layout Models in Real-world Visually-rich Document Information Extraction EACL 2026 MetaAct-RL: Training Language Models for Reasoning Through Meta-Action-Based Reinforcement Learning AAAI 2026 DARM: Distribution-Aware Reward Modeling by Alleviating Biases from Low Preference-Context Dependency Data ACL 2026 RIMRULE: Improving Tool-Using Language Agents via MDL-Guided Rule Learning ACL 2026 RLSeek: Evidence-Grounded Reasoning for RAG Hallucination Detection ACL 2026 Enhancing LLM-based Search Agents via Contribution Weighted Group Relative Policy Optimization ACL 2026 Mnemis: Dual-Route Retrieval on Hierarchical Graphs for Long-Term LLM Memory ACL 2026 Counteracting the Matthew Effect in Self-Improvement of LVLMs through Head-Tail Re-balancing ACL 2026 AgentGym2: Benchmarking Large Language Model Agents in De-Idealized Real-World Environments ACL 2026 Towards Interpretable Tabular Reasoning: Enhancing LLM Reasoning on Tabular Data with Pre-Constructed Logic Graph ACL 2026 Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment ACL 2026 Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward Models ACL 2026 LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models ACL 2026 OctoBench: Benchmarking Scaffold-Aware Instruction Following in Repository-Grounded Agentic Coding ACL 2026 Interpreting Fedspeak with Confidence: A LLM-Based Uncertainty-Aware Framework Guided by Monetary Policy Transmission Paths AAAI 2026 Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling NAACL 2025 UFO: A UI-Focused Agent for Windows OS Interaction NAACL 2025 RDMR: Recursive Inference and Representation Disentanglement for Multimodal Large Deformation Registration MICCAI 2025 MultiTransAD: Cross-Sequence Translation-Driven Anomaly Detection in Multi-Sequence Brain MRI MICCAI 2025 An Augmentation Overlap Theory of Contrastive Learning JMLR 2025 COLUR: Confidence-Oriented Learning, Unlearning and Relearning with Noisy-Label Data for Model Restoration and Refinement IJCAI 2025 Autonomous Goal Detection and Cessation in Reinforcement Learning: A Case Study on Source Term Estimation AAAI 2025 View Transformation Robustness for Multi-View 3D Object Reconstruction with Reconstruction Error-Guided View Selection AAAI 2025 Position-Aware Guided Point Cloud Completion with CLIP Model AAAI 2025 Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting AAAI 2025 Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding AAAI 2025 MindTuner: Cross-Subject Visual Decoding with Visual Fingerprint and Semantic Correction AAAI 2025 MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning AAAI 2025 Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning AAAI 2025 COSEE: Consistency-Oriented Signal-Based Early Exiting via Calibrated Sample Weighting Mechanism AAAI 2025 RF-DTR: A Multi-Stage DCT Token Regression Network for Progressive Rib Fracture Mask Refinement IJCAI 2025 Sentiment-enhanced Multi-hop Connected Graph Attention Network for Multimodal Aspect-Based Sentiment Analysis IJCAI 2025 Improving Prediction Certainty Estimation for Reliable Early Exiting via Null Space Projection IJCAI 2025 Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy IJCAI 2025 Empowering Multimodal Road Traffic Profiling with Vision Language Models and Frequency Spectrum Fusion IJCAI 2025 2D Gaussian Splatting for Outdoor Scene Decomposition and Relighting IJCAI 2025 MindSimulator: Exploring Brain Concept Localization via Synthetic fMRI ICLR 2025 Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding ICLR 2025 Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness ICLR 2025 RuAG: Learned-rule-augmented Generation for Large Language Models ICLR 2025 SELF-EVOLVED REWARD LEARNING FOR LLMS ICLR 2025 MGDA Converges under Generalized Smoothness, Provably ICLR 2025 Projection Head is Secretly an Information Bottleneck ICLR 2025 RMB: Comprehensively benchmarking reward models in LLM alignment ICLR 2025 Revisiting Large-Scale Non-convex Distributionally Robust Optimization ICLR 2025 OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures? ICLR 2025 Have the VLMs Lost Confidence? A Study of Sycophancy in VLMs ICLR 2025 BokehDiff: Neural Lens Blur with One-Step Diffusion ICCV 2025 Boosting Vision Semantic Density with Anatomy Normality Modeling for Medical Vision-language Pre-training ICCV 2025 CoMPaSS: Enhancing Spatial Understanding in Text-to-Image Diffusion Models ICCV 2025 SU-RGS: Relightable 3D Gaussian Splatting from Sparse Views under Unconstrained Illuminations ICCV 2025 MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf EMNLP 2025 Alleviating Performance Degradation Caused by Out-of-Distribution Issues in Embedding-Based Retrieval EMNLP 2025 LLMEval-Med: A Real-world Clinical Benchmark for Medical LLMs with Physician Validation EMNLP 2025 Distill Visual Chart Reasoning Ability from LLMs to MLLMs EMNLP 2025 RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation EMNLP 2025 Mitigating Object Hallucinations in MLLMs via Multi-Frequency Perturbations EMNLP 2025 TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use EMNLP 2025 Structural Patent Classification Using Label Hierarchy Optimization EMNLP 2025 Toward Optimal LLM Alignments Using Two-Player Games EMNLP 2025 LoRACoE: Improving Large Language Model via Composition-based LoRA Expert EMNLP 2025 NL2Lean: Translating Natural Language into Lean 4 through Multi-Aspect Reinforcement Learning EMNLP 2025 Parrot: A Training Pipeline Enhances Both Program CoT and Natural Language CoT for Reasoning EMNLP 2025 TASO: Task-Aligned Sparse Optimization for Parameter-Efficient Model Adaptation EMNLP 2025 Governance in Motion: Co-evolution of Constitutions and AI models for Scalable Safety EMNLP 2025 MAIN: Mutual Alignment Is Necessary for instruction tuning EMNLP 2025 LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization EMNLP 2025 Analyzing the Effects of Supervised Fine-Tuning on Model Knowledge from Token and Parameter Levels EMNLP 2025 Mitigating Ambiguities in 3D Classification with Gaussian Splatting CVPR 2025 Generative Hard Example Augmentation for Semantic Point Cloud Segmentation CVPR 2025 Mani-GS: Gaussian Splatting Manipulation with Triangular Mesh CVPR 2025 Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition COLING 2025 ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios COLING 2025 ClimateIE: A Dataset for Climate Science Information Extraction ACL 2025 Better Process Supervision with Bi-directional Rewarding Signals ACL 2025 TSD-SR: One-Step Diffusion with Target Score Distillation for Real-World Image Super-Resolution CVPR 2025 Multi-Domain Ancient Chinese Named Entity Recognition Based on Attention-Enhanced Pre-trained Language Model NAACL 2025 EvoWiki: Evaluating LLMs on Evolving Knowledge ACL 2025 D.Va: Validate Your Demonstration First Before You Use It ACL 2025 ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use ACL 2025 WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models ACL 2025 Lost in the Context: Insufficient and Distracted Attention to Contexts in Preference Modeling ACL 2025 AXIS: Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents ACL 2025 Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric ACL 2025 Capability Salience Vector: Fine-grained Alignment of Loss and Capabilities for Downstream Task Scaling Law ACL 2025 AgentGym: Evaluating and Training Large Language Model-based Agents across Diverse Environments ACL 2025 Towards Economical Inference: Enabling DeepSeek’s Multi-Head Latent Attention in Any Transformer-based LLMs ACL 2025 Multi-Programming Language Sandbox for LLMs ACL 2025 PFDial: A Structured Dialogue Instruction Fine-tuning Method Based on UML Flowcharts ACL 2025 GeAR: Generation Augmented Retrieval ACL 2025 Taxonomy-Driven Knowledge Graph Construction for Domain-Specific Scientific Applications ACL 2025 DocFusion: A Unified Framework for Document Parsing Tasks ACL 2025 DI-BENCH: Benchmarking Large Language Models on Dependency Inference with Testable Repositories at Scale ACL 2025 Context-DPO: Aligning Language Models for Context-Faithfulness ACL 2025 ESF: Efficient Sensitive Fingerprinting for Black-Box Tamper Detection of Large Language Models ACL 2025 ALPS: Attention Localization and Pruning Strategy for Efficient Adaptation of Large Language Models ACL 2025 DynClean: Training Dynamics-based Label Cleaning for Distantly-Supervised Named Entity Recognition NAACL 2025 GameTox: A Comprehensive Dataset and Analysis for Enhanced Toxicity Detection in Online Gaming Communities NAACL 2025 CoCA: Fusing Position Embedding with Collinear Constrained Attention in Transformers for Long Context Window Extending ACL 2024 NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction NIPS 2024 FilterNet: Harnessing Frequency Filters for Time Series Forecasting NIPS 2024 Reinforcement Learning with Euclidean Data Augmentation for State-Based Continuous Control NIPS 2024 Multi-View People Detection in Large Scenes via Supervised View-Wise Contribution Weighting AAAI 2024 A Pre-convolved Representation for Plug-and-Play Neural Illumination Fields AAAI 2024 Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization AAAI 2024 Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection AAAI 2024 Text Diffusion with Reinforced Conditioning AAAI 2024 Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector AAAI 2024 LLMEval: A Preliminary Study on How to Evaluate Large Language Models AAAI 2024 LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin ACL 2024 ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages ACL 2024 Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild ACL 2024 StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback ACL 2024 Navigating the OverKill in Large Language Models ACL 2024 Unveiling Linguistic Regions in Large Language Models ACL 2024 HD-Eval: Aligning Large Language Model Evaluators Through Hierarchical Criteria Decomposition ACL 2024 Uncertainty Aware Learning for Language Model Alignment ACL 2024 Rescue: Ranking LLM Responses with Partial Ordering to Improve Response Generation ACL 2024 Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments ACL 2024 Se2: Sequential Example Selection for In-Context Learning ACL 2024 ResLoRA: Identity Residual Mapping in Low-Rank Adaption ACL 2024 P4: Plug-and-Play Discrete Prompting for Large Language Models Personalization ACL 2024 Making Harmful Behaviors Unlearnable for Large Language Models ACL 2024 RECOST: External Knowledge Guided Data-efficient Instruction Tuning ACL 2024 Length Generalization of Causal Transformers without Position Encoding ACL 2024 Who Responded to Whom: The Joint Effects of Latent Topics and Discourse in Conversation Structure ACL 2024 Calibrating LLM-Based Evaluator COLING 2024 Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis COLING 2024 ORTicket: Let One Robust BERT Ticket Transfer across Different Tasks COLING 2024 PASUM: A Pre-training Architecture for Social Media User Modeling Based on Text Graph COLING 2024 RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions COLING 2024 SciDMT: A Large-Scale Corpus for Detecting Scientific Mentions COLING 2024 Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals COLING 2024 ConTex-Human: Free-View Rendering of Human from a Single Image with Texture-Consistent Synthesis CVPR 2024 FINER: Flexible Spectral-bias Tuning in Implicit NEural Representation by Variable-periodic Activation Functions CVPR 2024 HumanRef: Single Image to 3D Human Generation via Reference-Guided Diffusion CVPR 2024 HumanNorm: Learning Normal Diffusion Model for High-quality and Realistic 3D Human Generation CVPR 2024 GS-IR: 3D Gaussian Splatting for Inverse Rendering CVPR 2024 Mahalanobis Distance-based Multi-view Optimal Transport for Multi-view Crowd Localization ECCV 2024 IRGen: Generative Modeling for Image Retrieval ECCV 2024 Analytic-Splatting: Anti-Aliased 3D Gaussian Splatting via Analytic Integration ECCV 2024 Physically Plausible Color Correction for Neural Radiance Fields ECCV 2024 Head360: Learning a Parametric 3D Full-Head for Free-View Synthesis in 360° ECCV 2024 Neural Poisson Solver: A Universal and Continuous Framework for Natural Signal Blending ECCV 2024 RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning EMNLP 2024 EfficientRAG: Efficient Retriever for Multi-Hop Question Answering EMNLP 2024 Efficient Sequential Decision Making with Large Language Models EMNLP 2024 Modeling Layout Reading Order as Ordering Relations for Visually-rich Document Understanding EMNLP 2024 TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities EMNLP 2024 SciER: An Entity and Relation Extraction Dataset for Datasets, Methods, and Tasks in Scientific Documents EMNLP 2024 Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning EMNLP 2024 LONGAGENT: Achieving Question Answering for 128k-Token-Long Documents through Multi-Agent Collaboration EMNLP 2024 Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Through Trap Problems EMNLP 2024 Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs EMNLP 2024 AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation EMNLP 2024 Reward Modeling Requires Automatic Adjustment Based on Data Quality EMNLP 2024 LongHeads: Multi-Head Attention is Secretly a Long Context Processor EMNLP 2024 Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference Data EMNLP 2024 PDF-to-Tree: Parsing PDF Text Blocks into a Tree EMNLP 2024 Improving Generalization of Alignment with Human Preferences through Group Invariant Learning ICLR 2024 Non-negative Contrastive Learning ICLR 2024 $\rm E(3)$-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning ICML 2024 Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback ICML 2024 Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning ICML 2024 Look Ahead or Look Around? A Theoretical Comparison Between Autoregressive and Masked Pretraining ICML 2024 MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization ICML 2024 Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting IJCAI 2024 HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis IJCAI 2024 Variational Field Constraint Learning for Degree of Coronary Artery Ischemia Assessment MICCAI 2024 Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models NAACL 2024 Argue with Me Tersely: Towards Sentence-Level Counter-Argument Generation EMNLP 2023 RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification EMNLP 2023 Causal Intervention for Abstractive Related Work Generation EMNLP 2023 Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback EMNLP 2023 TextMixer: Mixing Multiple Inputs for Privacy-Preserving Inference EMNLP 2023 Inductive Relation Inference of Knowledge Graph Enhanced by Ontology Information EMNLP 2023 Auto Search Indexer for End-to-End Document Retrieval EMNLP 2023 Unleashing the Power of Language Models in Text-Attributed Graph EMNLP 2023 RealBehavior: A Framework for Faithfully Characterizing Foundation Models’ Human-like Behavior Mechanisms EMNLP 2023 Orthogonal Subspace Learning for Language Model Continual Learning EMNLP 2023 Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement EMNLP 2023 Multiview Clickbait Detection via Jointly Modeling Subjective and Objective Preference EMNLP 2023 Are Structural Concepts Universal in Transformer Language Models? Towards Interpretable Cross-Lingual Generalization EMNLP 2023 One-Model-Connects-All: A Unified Graph Pre-Training Model for Online Community Modeling EMNLP 2023 Frequency-domain MLPs are More Effective Learners in Time Series Forecasting NIPS 2023 Local Implicit Ray Function for Generalizable Radiance Field Representation CVPR 2023 ECNU_MIV at SemEval-2023 Task 1: CTIM - Contrastive Text-Image Model for Multilingual Visual Word Sense Disambiguation SEMEVAL 2023 Inverting the Imaging Process by Learning an Implicit Camera Model CVPR 2023 UV Volumes for Real-Time Rendering of Editable Free-View Human Performance CVPR 2023 Fine-Grained Face Swapping via Regional GAN Inversion CVPR 2023 Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields CVPR 2023 ECNU_MIV at SemEval-2023 Task 1: CTIM - Contrastive Text-Image Model for Multilingual Visual Word Sense Disambiguation ACL 2023 Temporal Tides of Emotional Resonance: A Novel Approach to Identify Mental Health on Social Media IJCNLP 2023 A Dynamics and Task Decoupled Reinforcement Learning Architecture for High-Efficiency Dynamic Target Intercept AAAI 2023 Temporal Tides of Emotional Resonance: A Novel Approach to Identify Mental Health on Social Media AACL 2023 A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking NIPS 2023 Model-enhanced Vector Index NIPS 2023 Identifiable Contrastive Learning with Automatic Feature Importance Discovery NIPS 2023 On the Generalization of Multi-modal Contrastive Learning ICML 2023 Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning ICML 2023 MG-ViT: A Multi-Granularity Method for Compact and Efficient Vision Transformers NIPS 2023 FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective NIPS 2023 A Message Passing Perspective on Learning Dynamics of Contrastive Learning ICLR 2023 CASN:Class-Aware Score Network for Textual Adversarial Detection ACL 2023 Dual-Alignment Pre-training for Cross-lingual Sentence Embedding ACL 2023 Movie101: A New Movie Understanding Benchmark ACL 2023 SLAN: Self-Locator Aided Network for Vision-Language Understanding ICCV 2023 VL-Match: Enhancing Vision-Language Pretraining with Token-Level and Instance-Level Matching ICCV 2023 Query Structure Modeling for Inductive Logical Reasoning Over Knowledge Graphs ACL 2023 Actively Supervised Clustering for Open Relation Extraction ACL 2023 Unifying Cross-Lingual and Cross-Modal Modeling Towards Weakly Supervised Multilingual Vision-Language Pre-training ACL 2023 Learning “O” Helps for Learning More: Handling the Unlabeled Entity Problem for Class-incremental NER ACL 2023 To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion ACL 2023 RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction ACL 2023 Open Set Relation Extraction via Unknown-Aware Training ACL 2023 Towards Better Entity Linking with Multi-View Enhanced Distillation ACL 2023 UPPAM: A Unified Pre-training Architecture for Political Actor Modeling based on Language ACL 2023 DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization ACL 2023 Towards Understanding Omission in Dialogue Summarization ACL 2023 Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization ACL 2023 Pre-training Language Model as a Multi-perspective Course Learner ACL 2023 Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model ACL 2023 A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition ACL 2023 Characterizing the Impacts of Instances on Robustness ACL 2023 Coarse-to-fine Few-shot Learning for Named Entity Recognition ACL 2023 On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection ACL 2023 Reducing Knowledge Noise for Improved Semantic Analysis in Biomedical Natural Language Processing Applications ACL 2023 DINER: Disorder-Invariant Implicit Neural Representation CVPR 2023 Wide-Angle Rectification via Content-Aware Conformal Mapping CVPR 2023 Adversarial Knowledge Stimulated Contrastive Prompting for Few-shot Language Learners ACL 2023 Connectivity Patterns are Task Embeddings ACL 2023 Detecting Adversarial Samples through Sharpness of Loss Landscape ACL 2023 TextObfuscator: Making Pre-trained Language Model a Privacy Protector via Obfuscating Word Representations ACL 2023 Self-Supervised Learning for Multilevel Skeleton-Based Forgery Detection via Temporal-Causal Consistency of Actions AAAI 2023 Democratizing Reasoning Ability: Tailored Learning from Large Language Model EMNLP 2023 Towards Building More Robust NER datasets: An Empirical Study on NER Dataset Bias from a Dataset Difficulty View EMNLP 2023 UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation EMNLP 2023 Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction EMNLP 2023 Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretraining EMNLP 2023 Read Extensively, Focus Smartly: A Cross-document Semantic Enhancement Method for Visual Documents NER COLING 2022 Template-free Prompt Tuning for Few-shot NER NAACL 2022 ECNU_ICA at SemEval-2022 Task 10: A Simple and Unified Model for Monolingual and Crosslingual Structured Sentiment Analysis NAACL 2022 Calibration-Free Multi-View Crowd Counting ECCV 2022 PixelFolder: An Efficient Progressive Pixel Synthesis Network for Image Generation ECCV 2022 Neural Color Operators for Sequential Image Retouching ECCV 2022 Unifying Event Detection and Captioning as Sequence Generation via Pre-training ECCV 2022 Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding EMNLP 2022 Cross-Linguistic Syntactic Difference in Multilingual BERT: How Good is It and How Does It Affect Transfer? EMNLP 2022 Efficient Adversarial Training with Robust Early-Bird Tickets EMNLP 2022 TextFusion: Privacy-Preserving Pre-trained Model Inference via Token Fusion EMNLP 2022 PromptBERT: Improving BERT Sentence Embeddings with Prompts EMNLP 2022 RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction EMNLP 2022 ProofInfer: Generating Proof via Iterative Hierarchical Inference EMNLP 2022 MovieUN: A Dataset for Movie Understanding and Narrating EMNLP 2022 Snapshot-Guided Domain Adaptation for ELECTRA EMNLP 2022 ECNU_ICA at SemEval-2022 Task 10: A Simple and Unified Model for Monolingual and Crosslingual Structured Sentiment Analysis SEMEVAL 2022 Divide and Conquer: Text Semantic Matching with Disentangled Keywords and Intents ACL 2022 Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap ICLR 2022 Communication-Efficient Actor-Critic Methods for Homogeneous Markov Games ICLR 2022 CQG: A Simple and Effective Controlled Generation Framework for Multi-hop Question Generation ACL 2022 Flooding-X: Improving BERT’s Resistance to Adversarial Attacks via Loss-Restricted Fine-Tuning ACL 2022 MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective ACL 2022 Robust Lottery Tickets for Pre-trained Language Models ACL 2022 HousE: Knowledge Graph Embedding with Householder Parameterization ICML 2022 How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders NIPS 2022 A Neural Corpus Indexer for Document Retrieval NIPS 2022 A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing IJCAI 2022 Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models NIPS 2022 Locate Then Ask: Interpretable Stepwise Reasoning for Multi-hop Question Answering COLING 2022 A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck COLING 2022 Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective COLING 2022 A Progressive Framework for Role-Aware Rumor Resolution COLING 2022 PlugAT: A Plug and Play Module to Defend against Textual Adversarial Attack COLING 2022 LFKQG: A Controlled Generation Framework with Local Fine-tuning for Question Generation over Knowledge Bases COLING 2022 Causal Intervention Improves Implicit Sentiment Analysis COLING 2022 Making Parameter-efficient Tuning More Efficient: A Unified Framework for Classification Tasks COLING 2022 A Structure-Aware Argument Encoder for Literature Discourse Analysis COLING 2022 A Multi-Agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning AAAI 2022 CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting AAAI 2022 FENeRF: Face Editing in Neural Radiance Fields CVPR 2022 Hallucinated Neural Radiance Fields in the Wild CVPR 2022 Deblur-NeRF: Neural Radiance Fields From Blurry Images CVPR 2022 HDR-NeRF: High Dynamic Range Neural Radiance Fields CVPR 2022 Unsupervised Summarization for Chat Logs with Topic-Oriented Ranking and Context-Aware Auto-Encoders AAAI 2021 Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training EMNLP 2021 Thinking Clearly, Talking Fast: Concept-Guided Non-Autoregressive Generation for Open-Domain Dialogue Systems EMNLP 2021 Iterative GNN-based Decoder for Question Generation EMNLP 2021 MedAI at SemEval-2021 Task 10: Negation-aware Pre-training for Source-free Negation Detection Domain Adaptation ACL 2021 Leveraging Argumentation Knowledge Graph for Interactive Argument Pair Identification ACL 2021 TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing ACL 2021 SENT: Sentence-level Distant Relation Extraction via Negative Training ACL 2021 Math Word Problem Solving with Explicit Numerical Values ACL 2021 One2Set: Generating Diverse Keyphrases as a Set ACL 2021 Heterogeneous Graph Neural Networks for Keyphrase Generation EMNLP 2021 Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution EMNLP 2021 A Relation-Oriented Clustering Method for Open Relation Extraction EMNLP 2021 Keyphrase Generation with Fine-Grained Evaluation-Guided Reinforcement Learning EMNLP 2021 An Edge-Enhanced Hierarchical Graph-to-Tree Network for Math Word Problem Solving EMNLP 2021 MedAI at SemEval-2021 Task 10: Negation-aware Pre-training for Source-free Negation Detection Domain Adaptation SEMEVAL 2021 UNBERT: User-News Matching BERT for News Recommendation IJCAI 2021 Cross-View Cross-Scene Multi-View Crowd Counting CVPR 2021 Larger-Context Tagging: When and Why Does It Work? NAACL 2021 BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction ICLR 2021 Discrete Argument Representation Learning for Interactive Argument Pair Identification NAACL 2021 An Empirical Assessment of the Qualitative Aspects of Misinformation in Health News NAACL 2021 Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data AAAI 2021 Efficient Querying for Cooperative Probabilistic Commitments AAAI 2021 Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling AAAI 2021 MedAI at SemEval-2021 Task 10: Negation-aware Pre-training for Source-free Negation Detection Domain Adaptation IJCNLP 2021 Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining EMNLP 2021 One2Set: Generating Diverse Keyphrases as a Set IJCNLP 2021 Math Word Problem Solving with Explicit Numerical Values IJCNLP 2021 SENT: Sentence-level Distant Relation Extraction via Negative Training IJCNLP 2021 TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing IJCNLP 2021 Leveraging Argumentation Knowledge Graph for Interactive Argument Pair Identification IJCNLP 2021 A Partition Filter Network for Joint Entity and Relation Extraction EMNLP 2021 Data Augmentation for Code-Switch Language Modeling by Fusing Multiple Text Generation Methods INTERSPEECH 2020 Simplify the Usage of Lexicon in Chinese NER ACL 2020 PathQG: Neural Question Generation from Facts EMNLP 2020 Toward Recognizing More Entity Types in NER: An Efficient Implementation using Only Entity Lexicons EMNLP 2020 Leveraging Document-Level Label Consistency for Named Entity Recognition IJCAI 2020 Modeling Evolution of Message Interaction for Rumor Resolution COLING 2020 Keep it Consistent: Topic-Aware Storytelling from an Image Stream via Iterative Multi-agent Communication COLING 2020 Weighed Domain-Invariant Representation Learning for Cross-domain Sentiment Analysis COLING 2020 Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting NIPS 2020 3D Crowd Counting via Multi-View Fusion with 3D Gaussian Kernels AAAI 2020 Spatio-Temporal Graph Structure Learning for Traffic Forecasting AAAI 2020 Succinct and Robust Multi-Agent Communication With Temporal Message Control NIPS 2020 Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study AAAI 2020 Uncertainty-Aware Label Refinement for Sequence Labeling EMNLP 2020 Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis EMNLP 2020 Context-Aware Attention Network for Image-Text Retrieval CVPR 2020 Neural Question Generation with Answer Pivot AAAI 2020 ReCO: A Large Scale Chinese Reading Comprehension Dataset on Opinion AAAI 2020 Storytelling from an Image Stream Using Scene Graphs AAAI 2020 Modeling Probabilistic Commitments for Maintenance Is Inherently Harder than for Achievement AAAI 2020 Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification with K-Means Features AAAI 2020 RethinkCWS: Is Chinese Word Segmentation a Solved Task? EMNLP 2020 A Knowledge-Aware Sequence-to-Tree Network for Math Word Problem Solving EMNLP 2020 Wide-Area Crowd Counting via Ground-Plane Density Maps and Multi-View Fusion CNNs CVPR 2019 A Multi-Task Learning Framework for Extracting Bacteria Biotope Information EMNLP 2019 Asynchronous Deep Interaction Network for Natural Language Inference EMNLP 2019 A Lexicon-Based Graph Neural Network for Chinese NER EMNLP 2019 Ray-Space Projection Model for Light Field Camera CVPR 2019 GSTNet: Global Spatial-Temporal Network for Traffic Flow Prediction IJCAI 2019 CNN-Based Chinese NER with Lexicon Rethinking IJCAI 2019 Learning Task-Specific Representation for Novel Words in Sequence Labeling IJCAI 2019 Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning ACL 2019 A Lexicon-Based Graph Neural Network for Chinese NER IJCNLP 2019 Asynchronous Deep Interaction Network for Natural Language Inference IJCNLP 2019 Posterior-regularized REINFORCE for Instance Selection in Distant Supervision NAACL 2019 Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control NIPS 2019 Long Short-Term Memory with Dynamic Skip Connections AAAI 2019 Learning to Communicate and Solve Visual Blocks-World Tasks AAAI 2019 Trainable Undersampling for Class-Imbalance Learning AAAI 2019 Cooperative Multimodal Approach to Depression Detection in Twitter AAAI 2019 A Lexicon-Based Supervised Attention Model for Neural Sentiment Analysis COLING 2018 Transferring from Formal Newswire Domain with Hypernet for Twitter POS Tagging EMNLP 2018 Neural Networks Incorporating Unlabeled and Partially-labeled Data for Cross-domain Chinese Word Segmentation IJCAI 2018 Cross-Domain Sentiment Classification with Target Domain Specific Information ACL 2018 Dynamic Feature Learning for Partial Face Recognition CVPR 2018 Incorporating Argument-Level Interactions for Persuasion Comments Evaluation using Co-attention Model COLING 2018 Part-of-Speech Tagging for Twitter with Adversarial Neural Networks EMNLP 2017 A Learning Error Analysis for Structured Prediction with Approximate Inference NIPS 2017 4D Light Field Superpixel and Segmentation CVPR 2017 Hashtag Recommendation for Multimodal Microblog Using Co-Attention Network IJCAI 2017 Mention Recommendation for Twitter with End-to-end Memory Network IJCAI 2017 The Influence on Realization and Perception of Lexical Tones from Affricate’s Aspiration INTERSPEECH 2017 Large-scale Opinion Relation Extraction with Distantly Supervised Neural Network EACL 2017 Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network ACL 2016 Commitment Semantics for Sequential Decision Making under Reward Uncertainty IJCAI 2016 Hashtag Recommendation Using End-To-End Memory Networks with Hierarchical Attention COLING 2016 Generating Abbreviations for Chinese Named Entities Using Recurrent Neural Network with Dynamic Dictionary EMNLP 2016 Hashtag Recommendation Using Attention-Based Convolutional Neural Network IJCAI 2016 Keyphrase Extraction Using Deep Recurrent Neural Networks on Twitter EMNLP 2016 Hashtag Recommendation Using Dirichlet Process Mixture Models Incorporating Types of Hashtags EMNLP 2015 \ell_1,p-Norm Regularization: Error Bounds and Convergence Rate Analysis of First-Order Methods ICML 2015 Time-aware Personalized Hashtag Recommendation on Social Media COLING 2014 Optimality of Graphlet Screening in High Dimensional Variable Selection JMLR 2014 100+ Times Faster Weighted Median Filter (WMF) CVPR 2014 A Generative Model for Identifying Target Companies of Microblogs COLING 2014 Understanding the Semantic Intent of Natural Language Query IJCNLP 2013 FudanNLP: A Toolkit for Chinese Natural Language Processing ACL 2013 Learning Topical Translation Model for Microblog Hashtag Suggestion IJCAI 2013 Discourse Level Explanatory Relation Extraction from Product Reviews Using First-Order Logic EMNLP 2013 Chinese Named Entity Abbreviation Generation Using First-Order Logic IJCNLP 2013 Detecting Spammers in Community Question Answering IJCNLP 2013 Automatic Hashtag Recommendation for Microblogs using Topic-Specific Translation Model COLING 2012 Efficient Near-Duplicate Detection for Q&A Forum IJCNLP 2011 Keyphrase Extraction from Online News Using Binary Integer Programming IJCNLP 2011 Structural Opinion Mining for Graph-based Sentiment Representation EMNLP 2011 2D Trie for Fast Parsing COLING 2010 Joint Training and Decoding Using Virtual Nodes for Cascaded Segmentation and Tagging Tasks EMNLP 2010 Phrase Dependency Parsing for Opinion Mining EMNLP 2009 A Progressive Feature Selection Algorithm for Ultra Large Feature Spaces COLING 2006 A Progressive Feature Selection Algorithm for Ultra Large Feature Spaces ACL 2006 A Flexible Conversational Dialog System for MP3 Player EMNLP 2005 Multiple-Instance Learning of Real-Valued Data JMLR 2002