Jie Tang

Data Efficient RLVR via Off-Policy Influence Guidance ACL 2026 Incorporating Self-Rewriting into Large Language Model Reasoning Reinforcement AAAI 2026 MathSE: Improving Multimodal Mathematical Reasoning via Self-Evolving Iterative Reflection and Reward-Guided Fine-Tuning AAAI 2026 VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation AAAI 2026 Glyph: Scaling Context Windows via Visual-Text Compression ACL 2026 RPC-Bench: A Fine-grained Benchmark for Research Paper Comprehension ACL 2026 HoWToBench: Holistic Evaluation for LLM’s Capability in Human-level Writing using Tree of Writing ACL 2026 Beyond Literal Mapping: Benchmarking and Improving Non-Literal Translation Evaluation ACL 2026 SCAIR: Schema-Conditioned Agentic Iterative Reasoning for Enterprise Knowledge Graphs ACL 2026 KARL: Reinforcement Learning for LLM Agents on Multi-Turn Knowledge-Intensive Agentic Tasks ACL 2026 UDA: Unsupervised Debiasing Alignment for Pair-wise LLM-as-a-Judge AAAI 2026 In-the-wild Audio Spatialization with Flexible Text-guided Localization ACL 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 LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks ACL 2025 CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis ACL 2025 Dynamic Scaling of Unit Tests for Code Reward Modeling ACL 2025 TreeRL: LLM Reinforcement Learning with On-Policy Tree Search ACL 2025 LongSafety: Evaluating Long-Context Safety of Large Language Models ACL 2025 LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models ACL 2025 SWE-Dev: Building Software Engineering Agents with Training and Inference Scaling ACL 2025 TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios ACL 2025 HPSS: Heuristic Prompting Strategy Search for LLM Evaluators ACL 2025 MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models CVPR 2025 A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models ICML 2025 T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling ICML 2025 ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think ICML 2025 WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning ICLR 2025 CogCoM: A Visual Language Model with Chain-of-Manipulations Reasoning ICLR 2025 AutoLUT: LUT-Based Image Super-Resolution with Automatic Sampling and Adaptive Residual Learning CVPR 2025 LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs ICLR 2025 CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer ICLR 2025 Boosting Multi-modal Keyphrase Prediction with Dynamic Chain-of-Thought in Vision-Language Models EMNLP 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 VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents ICLR 2025 CATANet: Efficient Content-Aware Token Aggregation for Lightweight Image Super-Resolution CVPR 2025 Scaling Speech-Text Pre-training with Synthetic Interleaved Data ICLR 2025 LVBench: An Extreme Long Video Understanding Benchmark ICCV 2025 Small Language Model Makes an Effective Long Text Extractor AAAI 2025 CharacterGLM: Customizing Social Characters with Large Language Models EMNLP 2024 AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models EMNLP 2024 ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline EMNLP 2024 KoLA: Carefully Benchmarking World Knowledge of Large Language Models ICLR 2024 AgentBench: Evaluating LLMs as Agents ICLR 2024 Relay Diffusion: Unifying diffusion process across resolutions for image synthesis ICLR 2024 Understanding Emergent Abilities of Language Models from the Loss Perspective NIPS 2024 ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search NIPS 2024 Training Compute-Optimal Protein Language Models NIPS 2024 SpreadsheetBench: Towards Challenging Real World Spreadsheet Manipulation NIPS 2024 CogVLM: Visual Expert for Pretrained Language Models NIPS 2024 Benchmarking Complex Instruction-Following with Multiple Constraints Composition NIPS 2024 Sketch and Refine: Towards Fast and Accurate Lane Detection AAAI 2024 TriSampler: A Better Negative Sampling Principle for Dense Retrieval AAAI 2024 Towards Efficient Exact Optimization of Language Model Alignment ICML 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 Transferable and Efficient Non-Factual Content Detection via Probe Training with Offline Consistency Checking 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 AutoRE: Document-Level Relation Extraction with 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 Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deterioration ACL 2024 SciInstruct: a Self-Reflective Instruction Annotated Dataset for Training Scientific Language Models NIPS 2024 Bilateral Propagation Network for Depth Completion CVPR 2024 CogAgent: A Visual Language Model for GUI Agents CVPR 2024 GTPT: Group-based Token Pruning Transformer for Efficient Human Pose Estimation ECCV 2024 CogView3: Finer and Faster Text-to-Image Generation via Relay Diffusion ECCV 2024 Inf-DiT: Upsampling any-resolution image with memory-efficient diffusion transformer. ECCV 2024 MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training NIPS 2024 Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments EMNLP 2024 LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering EMNLP 2024 LongAlign: A Recipe for Long Context Alignment of Large Language Models EMNLP 2024 Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers EMNLP 2023 Are Intermediate Layers and Labels Really Necessary? A General Language Model Distillation Method ACL 2023 GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model ACL 2023 From Coarse to Fine: Hierarchical Pixel Integration for Lightweight Image Super-resolution AAAI 2023 GLM-130B: An Open Bilingual Pre-trained Model ICLR 2023 CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers ICLR 2023 ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation NIPS 2023 Video Frame Interpolation with Densely Queried Bilateral Correlation IJCAI 2023 MTDiag: An Effective Multi-Task Framework for Automatic Diagnosis AAAI 2023 Robust Object Modeling for Visual Tracking ICCV 2023 FFAEval: Evaluating Dialogue System via Free-For-All Ranking EMNLP 2023 GACT: Activation Compressed Training for Generic Network Architectures ICML 2022 CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers NIPS 2022 Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos NIPS 2022 CODE: Contrastive Pre-training with Adversarial Fine-Tuning for Zero-Shot Expert Linking AAAI 2022 GLM: General Language Model Pretraining with Autoregressive Blank Infilling ACL 2022 FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding ACL 2022 Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering ACL 2022 FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning ACL 2022 P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks ACL 2022 HOSMEL: A Hot-Swappable Modularized Entity Linking Toolkit for Chinese ACL 2022 DeepStruct: Pretraining of Language Models for Structure Prediction ACL 2022 BodyGAN: General-Purpose Controllable Neural Human Body Generation CVPR 2022 Parameter-Efficient Tuning Makes a Good Classification Head EMNLP 2022 Rethinking the Setting of Semi-supervised Learning on Graphs IJCAI 2022 Zero-Shot Information Extraction as a Unified Text-to-Triple Translation EMNLP 2021 CogView: Mastering Text-to-Image Generation via Transformers NIPS 2021 Adaptive Diffusion in Graph Neural Networks NIPS 2021 A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems NIPS 2021 UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis NIPS 2021 Keyword-Based Knowledge Graph Exploration Based on Quadratic Group Steiner Trees IJCAI 2021 Residual Feature Aggregation Network for Image Super-Resolution CVPR 2020 CogLTX: Applying BERT to Long Texts NIPS 2020 ExpanRL: Hierarchical Reinforcement Learning for Course Concept Expansion in MOOCs AACL 2020 Heterogeneous Network Representation Learning IJCAI 2020 Blockwise Self-Attention for Long Document Understanding EMNLP 2020 A Matrix Chernoff Bound for Markov Chains and Its Application to Co-occurrence Matrices NIPS 2020 Graph Random Neural Networks for Semi-Supervised Learning on Graphs NIPS 2020 MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs ACL 2020 Network Embedding under Partial Monitoring for Evolving Networks IJCAI 2019 Towards Knowledge-Based Recommender Dialog System EMNLP 2019 Course Concept Expansion in MOOCs with External Knowledge and Interactive Game ACL 2019 Cognitive Graph for Multi-Hop Reading Comprehension at Scale ACL 2019 ProNE: Fast and Scalable Network Representation Learning IJCAI 2019 Large Scale Evolving Graphs with Burst Detection IJCAI 2019 Towards Knowledge-Based Recommender Dialog System IJCNLP 2019 Understanding Dropouts in MOOCs AAAI 2019 Bandit Learning with Implicit Feedback NIPS 2018 Where Have You Been? Inferring Career Trajectory from Academic Social Network IJCAI 2018 Fast Randomized PCA for Sparse Data ACML 2018 Weakly Learning to Match Experts in Online Community IJCAI 2018 Cross-Domain Depression Detection via Harvesting Social Media IJCAI 2018 Course Concept Extraction in MOOCs via Embedding-Based Graph Propagation IJCNLP 2017 Who to Invite Next? Predicting Invitees of Social Groups IJCAI 2017 Prerequisite Relation Learning for Concepts in MOOCs ACL 2017 Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs IJCAI 2016 Learning Topic Hierarchies for Wikipedia Categories IJCNLP 2015 Learning Topic Hierarchies for Wikipedia Categories ACL 2015 Uncovering the Formation of Triadic Closure in Social Networks IJCAI 2015 Name List Only? Target Entity Disambiguation in Short Texts EMNLP 2015 On Modelling Non-linear Topical Dependencies ICML 2014 What Users Care About: A Framework for Social Content Alignment IJCAI 2013 Boosting Cross-Lingual Knowledge Linking via Concept Annotation IJCAI 2013 Social Influence Locality for Modeling Retweeting Behaviors IJCAI 2013 Transfer Learning Based Cross-lingual Knowledge Extraction for Wikipedia ACL 2013 A Unified Tagging Approach to Text Normalization ACL 2007