Jun Wang

ColorBrowserAgent: Complex Long-Horizon Browser Agent with Adaptive Knowledge Evolution ACL 2026 Dual Activation-Weight Sparsity: A Training-Free Framework for Efficient Large Language Model Compression ACL 2026 Proactive Constrained Policy Optimization with Preemptive Penalty AAAI 2026 Process Evaluation for Agentic Systems EACL 2026 TingIS: Real-time Risk Event Discovery from Noisy Customer Incidents at Enterprise Scale ACL 2026 Vision-Language Reasoning for Geolocalization: A Reinforcement Learning Approach AAAI 2026 Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets ICML 2025 AskToAct: Enhancing LLMs Tool Use via Self-Correcting Clarification EMNLP 2025 Boost, Disentangle, and Customize: A Robust System2-to-System1 Pipeline for Code Generation ACL 2025 Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization ICLR 2025 CIKT: A Collaborative and Iterative Knowledge Tracing Framework with Large Language Models EMNLP 2025 CNNSum: Exploring Long-Context Summarization with Large Language Models in Chinese Novels ACL 2025 Circuit Transformer: A Transformer That Preserves Logical Equivalence ICLR 2025 Coherency Improved Explainable Recommendation via Large Language Model AAAI 2025 Constrain Alignment with Sparse Autoencoders ICML 2025 DB-Explore: Automated Database Exploration and Instruction Synthesis for Text-to-SQL EMNLP 2025 Direct Value Optimization: Improving Chain-of-Thought Reasoning in LLMs with Refined Values EMNLP 2025 DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agent ICLR 2025 E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning EMNLP 2025 Efficient Reinforcement Learning with Large Language Model Priors ICLR 2025 GenSim: A General Social Simulation Platform with Large Language Model based Agents NAACL 2025 HammerBench: Fine-Grained Function-Calling Evaluation in Real Mobile Assistant Scenarios ACL 2025 Human-inspired Episodic Memory for Infinite Context LLMs ICLR 2025 Large Language Models are Demonstration Pre-Selectors for Themselves ICML 2025 Lightweight Neural App Control ICLR 2025 LlmLink: Dual LLMs for Dynamic Entity Linking on Long Narratives with Collaborative Memorisation and Prompt Optimisation COLING 2025 Mixture of Attentions For Speculative Decoding ICLR 2025 On the Optimization Landscape of Low Rank Adaptation Methods for Large Language Models ICLR 2025 Retrieval-Augmented Process Reward Model for Generalizable Mathematical Reasoning ACL 2025 Robust Function-Calling for On-Device Language Model via Function Masking ICLR 2025 SPA-BENCH: A COMPREHENSIVE BENCHMARK FOR SMARTPHONE AGENT EVALUATION ICLR 2025 STAIR: Manipulating Collaborative and Multimodal Information for E-Commerce Recommendation AAAI 2025 STaR-SQL: Self-Taught Reasoner for Text-to-SQL ACL 2025 SparsePO: Controlling Preference Alignment of LLMs via Sparse Token Masks EMNLP 2025 Spiral of Silence in Large Language Model Agents EMNLP 2025 AlphaZero-Like Tree-Search can Guide Large Language Model Decoding and Training ICML 2024 Bifurcated Attention for Single-Context Large-Batch Sampling ICML 2024 D2LLM: Decomposed and Distilled Large Language Models for Semantic Search ACL 2024 DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning ICML 2024 Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling AAAI 2024 Dynamic Token-Pass Transformers for Semantic Segmentation WACV 2024 Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution NeurIPS 2024 Human-Guided Moral Decision Making in Text-Based Games AAAI 2024 Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization NeurIPS 2024 Large Language Models Are Neurosymbolic Reasoners AAAI 2024 Large Language Models Play StarCraft II:Benchmarks and A Chain of Summarization Approach NeurIPS 2024 Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf NeurIPS 2024 Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting NeurIPS 2024 Reinforcing LLM Agents via Policy Optimization with Action Decomposition NeurIPS 2024 Self-Contrast: Better Reflection Through Inconsistent Solving Perspectives ACL 2024 Token-level Direct Preference Optimization ICML 2024 A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems ICML 2023 An Efficient End-to-End Training Approach for Zero-Shot Human-AI Coordination NeurIPS 2023 ChessGPT: Bridging Policy Learning and Language Modeling NeurIPS 2023 Cross-utterance Conditioned Coherent Speech Editing Interspeech 2023 D-Separation for Causal Self-Explanation NeurIPS 2023 Data-free Knowledge Distillation for Fine-grained Visual Categorization ICCV 2023 DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases ICLR 2023 Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness ICLR 2023 GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models ICML 2023 How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances EMNLP 2023 Importance of Synthesizing High-quality Data for Text-to-SQL Parsing ACL 2023 Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach NeurIPS 2023 Invariant Learning via Probability of Sufficient and Necessary Causes NeurIPS 2023 Learning to Shape Rewards Using a Game of Two Partners AAAI 2023 Lending Interaction Wings to Recommender Systems with Conversational Agents NeurIPS 2023 MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning JMLR 2023 MANSA: Learning Fast and Slow in Multi-Agent Systems ICML 2023 MGR: Multi-generator Based Rationalization ACL 2023 Online PCA in Converging Self-consistent Field Equations NeurIPS 2023 Order Matters: Agent-by-agent Policy Optimization ICLR 2023 Self-Decoupling and Ensemble Distillation for Efficient Segmentation AAAI 2023 Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints ICLR 2023 XSemPLR: Cross-Lingual Semantic Parsing in Multiple Natural Languages and Meaning Representations ACL 2023 A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning NeurIPS 2022 Cross-Modal Prototype Driven Network for Radiology Report Generation ECCV 2022 Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-Speech ACL 2022 Enhancing Safe Exploration Using Safety State Augmentation NeurIPS 2022 FR: Folded Rationalization with a Unified Encoder NeurIPS 2022 Generation-Focused Table-Based Intermediate Pre-training for Free-Form Question Answering AAAI 2022 Improving Text-to-SQL Semantic Parsing with Fine-grained Query Understanding EMNLP 2022 LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning ICLR 2022 Learning State Representations via Retracing in Reinforcement Learning ICLR 2022 Learning to Identify Top Elo Ratings: A Dueling Bandits Approach AAAI 2022 M2N: Mesh Movement Networks for PDE Solvers NeurIPS 2022 Multi-Agent Reinforcement Learning is a Sequence Modeling Problem NeurIPS 2022 Multi-Knowledge Aggregation and Transfer for Semantic Segmentation AAAI 2022 Multiagent Q-learning with Sub-Team Coordination NeurIPS 2022 On the Convergence of Fictitious Play: A Decomposition Approach IJCAI 2022 Optimistic Tree Searches for Combinatorial Black-Box Optimization NeurIPS 2022 Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization ICML 2022 Reinforcement Learning in Presence of Discrete Markovian Context Evolution ICLR 2022 Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation ICML 2022 Structural Landmarking and Interaction Modelling: A “SLIM” Network for Graph Classification AAAI 2022 Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning ICLR 2022 Understanding Policy Gradient Algorithms: A Sensitivity-Based Approach ICML 2022 Are We Forgetting about Compositional Optimisers in Bayesian Optimisation? JMLR 2021 CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models CVPR 2021 Estimating $α$-Rank from A Few Entries with Low Rank Matrix Completion ICML 2021 Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training AAAI 2021 Learning in Nonzero-Sum Stochastic Games with Potentials ICML 2021 Modelling Behavioural Diversity for Learning in Open-Ended Games ICML 2021 Neural Auto-Curricula in Two-Player Zero-Sum Games NeurIPS 2021 Ordering-Based Causal Discovery with Reinforcement Learning IJCAI 2021 Settling the Variance of Multi-Agent Policy Gradients NeurIPS 2021 Source-Free Domain Adaptation for Semantic Segmentation CVPR 2021 State-Aware Value Function Approximation with Attention Mechanism for Restless Multi-armed Bandits IJCAI 2021 Zero-Shot Adversarial Quantization CVPR 2021 Adaptive Structural Fingerprints for Graph Attention Networks ICLR 2020 Bi-Level Actor-Critic for Multi-Agent Coordination AAAI 2020 Diversify Question Generation with Continuous Content Selectors and Question Type Modeling EMNLP 2020 Learning to Communicate Implicitly by Actions AAAI 2020 Learning to Model Opponent Learning (Student Abstract) AAAI 2020 Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning IJCAI 2020 Multi-Agent Determinantal Q-Learning ICML 2020 Multi-Agent Interactions Modeling with Correlated Policies ICLR 2020 Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning AAAI 2020 Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search ECCV 2020 Replica-Exchange Nos\'e-Hoover Dynamics for Bayesian Learning on Large Datasets NeurIPS 2020 SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving CoRL 2020 A Regularized Opponent Model with Maximum Entropy Objective IJCAI 2019 BayesNAS: A Bayesian Approach for Neural Architecture Search ICML 2019 Greedy Orthogonal Pivoting Algorithm for Non-Negative Matrix Factorization ICML 2019 Learning Adaptive Random Features AAAI 2019 Multi-View Reinforcement Learning NeurIPS 2019 Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning ICLR 2019 The Kelly Growth Optimal Portfolio with Ensemble Learning AAAI 2019 Activation Maximization Generative Adversarial Nets ICLR 2018 Learning Sequential Correlation for User Generated Textual Content Popularity Prediction IJCAI 2018 Learning to Design Games: Strategic Environments in Reinforcement Learning IJCAI 2018 Mean Field Multi-Agent Reinforcement Learning ICML 2018 Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning NeurIPS 2018 Portfolio Blending via Thompson Sampling IJCAI 2016 Optimal Bayesian Hashing for Efficient Face Recognition IJCAI 2015 Portfolio Choices with Orthogonal Bandit Learning IJCAI 2015 Learning Hash Codes with Listwise Supervision ICCV 2013 Multiple Task Learning Using Iteratively Reweighted Least Square IJCAI 2013