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Xiao Liu

151 papers · 2013–2026 · 17 conferences · across top CS/AI conferences

Achievements

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+19 more ↓ 🧭 Keyword Pioneer 🌍 Conference Polyglot (17) πŸ—ΊοΈ Taxonomy Completionist (17) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (12)
πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (17) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (3) 🏠 Conference Loyalist (34) 🀝 Dynamic Duo (28) πŸ‘₯ Mega-Team (28) πŸ‘‘ Triple Crown πŸ”¬ Deep Specialist (21) 🧬 Topic Evolution πŸ† Keyword Champion πŸ† Grand Slam ❓ The Questioner (3) πŸ’Ž Century Club (141) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (9) πŸ“ˆ Trend Setter ⚑ Prolific Year (14) πŸ—ƒοΈ Keyword Collector (567)

Conferences

ACL (41) EMNLP (22) AAAI (15) CVPR (12) ICCV (11) NIPS (11) ECCV (8) ICLR (7) NAACL (6) ICML (5) IJCAI (5) COLING (2) IJCNLP (2) AUTOML (1) CORL (1) EACL (1) MICCAI (1)

Papers

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training ACL 2026 COSMOS: Connectivity-Oriented Submodular Maximization for Optimal Subgraph Retrieval ACL 2026 Too Long, Do Re-weighting for Efficient LLM Reasoning Compression ACL 2026 KARL: Reinforcement Learning for LLM Agents on Multi-Turn Knowledge-Intensive Agentic Tasks ACL 2026 Glyph: Scaling Context Windows via Visual-Text Compression ACL 2026 VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation AAAI 2026 From Single to Societal: Analyzing Persona-Induced Bias in Multi-Agent Interactions AAAI 2026 How Does Alignment Enhance LLMs’ Multilingual Capabilities? A Language Neurons Perspective AAAI 2026 GATE: Graph-based Adaptive Tool Evolution Across Diverse Tasks ACL 2026 EXCEEDS: Extracting Complex Events via Nugget-based Grid Modeling in Scientific Domain ACL 2026 Recipe2Plan: Evaluating Planning Abilities of LLMs for Efficient and Feasible Multitasking with Time Constraints Between Actions EMNLP 2025 Teaching Your Models to Understand Code via Focal Preference Alignment EMNLP 2025 Degradation-Aware Feature Perturbation for All-in-One Image Restoration CVPR 2025 Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning NAACL 2025 Key-Point-Driven Data Synthesis with Its Enhancement on Mathematical Reasoning AAAI 2025 Enhancing Large Language Model Performance with Gradient-Based Parameter Selection AAAI 2025 AVDM: Controllable Adversarial Diffusion Model for Vessel-to-Volume Synthesis MICCAI 2025 RobustHAR: Multi-scale Spatial-temporal Masked Self-supervised Pre-training for Robust Human Activity Recognition IJCAI 2025 EpiCoder: Encompassing Diversity and Complexity in Code Generation ICML 2025 Optimizing Large Language Model Training Using FP4 Quantization ICML 2025 Overcoming Vocabulary Mismatch: Vocabulary-agnostic Teacher Guided Language Modeling ICML 2025 AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agents ACL 2025 AndroidGen: Building an Android Language Agent under Data Scarcity ACL 2025 A Survey of Post-Training Scaling in Large Language Models ACL 2025 Read it in Two Steps: Translating Extremely Low-Resource Languages with Code-Augmented Grammar Books ACL 2025 Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training ACL 2025 EXPLAIN: Enhancing Retrieval-Augmented Generation with Entity Summary ACL 2025 LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models ACL 2025 Process-based Self-Rewarding Language Models ACL 2025 VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents ICLR 2025 WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning ICLR 2025 SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models ICLR 2025 VPO: Aligning Text-to-Video Generation Models with Prompt Optimization ICCV 2025 Generate, Refine, and Encode: Leveraging Synthesized Novel Samples for On-the-Fly Fine-Grained Category Discovery ICCV 2025 Attack-Resilient Image Watermarking Using Stable Diffusion NIPS 2024 Bias and Volatility: A Statistical Framework for Evaluating Large Language Model's Stereotypes and the Associated Generation Inconsistency NIPS 2024 Adaptive Visual Scene Understanding: Incremental Scene Graph Generation NIPS 2024 ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline EMNLP 2024 LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding ACL 2024 Black-Box Prompt Optimization: Aligning Large Language Models without Model Training ACL 2024 AlignBench: Benchmarking Chinese Alignment of Large Language Models ACL 2024 CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation ACL 2024 SafetyBench: Evaluating the Safety of Large Language Models ACL 2024 OpenWebAgent: An Open Toolkit to Enable Web Agents on Large Language Models ACL 2024 AgentTuning: Enabling Generalized Agent Abilities for LLMs ACL 2024 NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Queries ACL 2024 Teaching Large Language Models an Unseen Language on the Fly ACL 2024 Multi-modal Relation Distillation for Unified 3D Representation Learning ECCV 2024 SemReg: Semantics Constrained Point Cloud Registration ECCV 2024 Iterative Ensemble Training with Anti-Gradient Control for Mitigating Memorization in Diffusion Models ECCV 2024 QUDSELECT: Selective Decoding for Questions Under Discussion Parsing EMNLP 2024 Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments EMNLP 2024 Attribute or Abstain: Large Language Models as Long Document Assistants EMNLP 2024 DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models EMNLP 2024 Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deterioration ACL 2024 AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models EMNLP 2024 Not All Tokens Are What You Need for Pretraining NIPS 2024 Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data ACL 2024 Competition-Level Problems are Effective LLM Evaluators ACL 2024 CASA: Causality-driven Argument Sufficiency Assessment NAACL 2024 Beyond Text: Unveiling Multimodal Proficiency of Large Language Models with MultiAPI Benchmark ACL 2024 Using Left and Right Brains Together: Towards Vision and Language Planning ICML 2024 FBLG: A Local Graph Based Approach for Handling Dual Skewed Non-IID Data in Federated Learning IJCAI 2024 Can Multiple-choice Questions Really Be Useful in Detecting the Abilities of LLMs? COLING 2024 AgentBench: Evaluating LLMs as Agents ICLR 2024 LLCP: Learning Latent Causal Processes for Reasoning-based Video Question Answer ICLR 2024 CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process ICML 2024 To Learn or Not to Learn, That is the Question β€” A Feature-Task Dual Learning Model of Perceptual Learning NIPS 2024 Allies: Prompting Large Language Model with Beam Search EMNLP 2023 ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation NIPS 2023 AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation NIPS 2023 A Recurrent Neural Circuit Mechanism of Temporal-scaling Equivariant Representation NIPS 2023 $Ξ±$-MDF: An Attention-based Multimodal Differentiable Filter for Robot State Estimation CORL 2023 Imperceptible Adversarial Attack via Invertible Neural Networks AAAI 2023 Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient AAAI 2023 How Many Answers Should I Give? An Empirical Study of Multi-Answer Reading Comprehension ACL 2023 The Magic of IF: Investigating Causal Reasoning Abilities in Large Language Models of Code ACL 2023 Boosting Event Extraction with Denoised Structure-to-Text Augmentation ACL 2023 DiffuSum: Generation Enhanced Extractive Summarization with Diffusion ACL 2023 Contrastive Hierarchical Discourse Graph for Scientific Document Summarization ACL 2023 Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation EMNLP 2023 DiNeR: A Large Realistic Dataset for Evaluating Compositional Generalization EMNLP 2023 Extractive Summarization via ChatGPT for Faithful Summary Generation EMNLP 2023 SummIt: Iterative Text Summarization via ChatGPT EMNLP 2023 Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers EMNLP 2023 Random Sub-Samples Generation for Self-Supervised Real Image Denoising ICCV 2023 Tem-Adapter: Adapting Image-Text Pretraining for Video Question Answer ICCV 2023 Unsupervised Image Denoising in Real-World Scenarios via Self-Collaboration Parallel Generative Adversarial Branches ICCV 2023 Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields ICCV 2023 GLM-130B: An Open Bilingual Pre-trained Model ICLR 2023 Diffusion Models for Causal Discovery via Topological Ordering ICLR 2023 Things not Written in Text: Exploring Spatial Commonsense from Visual Signals ACL 2022 SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval EMNLP 2022 Syntax-Aware Network for Handwritten Mathematical Expression Recognition CVPR 2022 GLM: General Language Model Pretraining with Autoregressive Blank Infilling ACL 2022 All-in-One Image Restoration for Unknown Corruption CVPR 2022 TransMVSNet: Global Context-Aware Multi-View Stereo Network With Transformers CVPR 2022 Retrieval-Based Spatially Adaptive Normalization for Semantic Image Synthesis CVPR 2022 HEGEL: Hypergraph Transformer for Long Document Summarization EMNLP 2022 A Tree-Structured Multi-Task Model Recommender AUTOML 2022 ALPHAPROG: Reinforcement Generation of Valid Programs for Compiler Fuzzing AAAI 2022 IELM: An Open Information Extraction Benchmark for Pre-Trained Language Models EMNLP 2022 AutoMTL: A Programming Framework for Automating Efficient Multi-Task Learning NIPS 2022 Counterfactual Recipe Generation: Exploring Compositional Generalization in a Realistic Scenario EMNLP 2022 When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression Recognition ECCV 2022 MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment ECCV 2022 Dual-Channel Evidence Fusion for Fact Verification over Texts and Tables NAACL 2022 DeepStruct: Pretraining of Language Models for Structure Prediction ACL 2022 P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks ACL 2022 Dynamic Prefix-Tuning for Generative Template-based Event Extraction ACL 2022 Learning with Noisy Correspondence for Cross-modal Matching NIPS 2021 Zero-Shot Information Extraction as a Unified Text-to-Triple Translation EMNLP 2021 SeqDialN: Sequential Visual Dialog Network in Joint Visual-Linguistic Representation Space IJCNLP 2021 SeqDialN: Sequential Visual Dialog Network in Joint Visual-Linguistic Representation Space ACL 2021 Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation ICCV 2021 ELSD: Efficient Line Segment Detector and Descriptor ICCV 2021 Geo-BERT Pre-training Model for Query Rewriting in POI Search EMNLP 2021 Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis NAACL 2021 Using Noisy Self-Reports to Predict Twitter User Demographics NAACL 2021 Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio AAAI 2020 An Attention-driven Two-stage Clustering Method for Unsupervised Person Re-Identification ECCV 2020 TP-LSD: Tri-Points Based Line Segment Detector ECCV 2020 Neighborhood Matching Network for Entity Alignment ACL 2020 Bayesian Adversarial Attack on Graph Neural Networks (Student Abstract) AAAI 2020 Dynamic Instance Normalization for Arbitrary Style Transfer AAAI 2020 Dialogue State Induction Using Neural Latent Variable Models IJCAI 2020 BMN: Boundary-Matching Network for Temporal Action Proposal Generation ICCV 2019 Push-pull Feedback Implements Hierarchical Information Retrieval Efficiently NIPS 2019 StNet: Local and Global Spatial-Temporal Modeling for Action Recognition AAAI 2019 Image Inpainting With Learnable Bidirectional Attention Maps ICCV 2019 Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in Videos AAAI 2019 Distant Supervision for Relation Extraction with Linear Attenuation Simulation and Non-IID Relevance Embedding AAAI 2019 DeepFuzz: Automatic Generation of Syntax Valid C Programs for Fuzz Testing AAAI 2019 STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing CVPR 2019 Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs IJCAI 2019 Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs IJCAI 2019 Jointly Learning Entity and Relation Representations for Entity Alignment IJCNLP 2019 A Soft Label Strategy for Target-Level Sentiment Classification NAACL 2019 Open Domain Event Extraction Using Neural Latent Variable Models ACL 2019 Jointly Learning Entity and Relation Representations for Entity Alignment EMNLP 2019 Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification CVPR 2018 Fine-grained Video Categorization with Redundancy Reduction Attention ECCV 2018 Real-time Scholarly Retweeting Prediction System COLING 2018 Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation EMNLP 2018 Kernel Pooling for Convolutional Neural Networks CVPR 2017 Deep Metric Learning With Angular Loss ICCV 2017 Fast Recursive Multi-class Classification of Pairs of Text Entities for Biomedical Event Extraction EACL 2014 Weakly Supervised Multiclass Video Segmentation CVPR 2014 Semi-Supervised Coupled Dictionary Learning for Person Re-identification CVPR 2014 Semi-supervised Node Splitting for Random Forest Construction CVPR 2013 Probabilistic Graphlet Cut: Exploiting Spatial Structure Cue for Weakly Supervised Image Segmentation CVPR 2013