Meng Fang

Causality-Aware Efficient Exploration for Cooperative Multi-Agent Reinforcement Learning AAAI 2026 Vision-Language Reasoning for Geolocalization: A Reinforcement Learning Approach AAAI 2026 Safe Multi-agent Reinforcement Learning with Natural Language Constraints AAAI 2026 Benchmarking Web Agent Safety under E-commerce Deceptive Interfaces ACL 2026 Investigating Social Bias Propagation in Federated Fine-tuning of Large Language Models AAAI 2026 FactSearch: An Interactive Agentic Fact Search System for Verifying Large Language Model Outputs ACL 2026 VaseVQA: Multimodal Agent and Benchmark for Ancient Greek Pottery EACL 2026 MATH-IDN: A Multilingual Mathematical Problem Solving Dataset Featuring Local Languages in Indonesia EACL 2026 Monte Carlo Planning with Large Language Model for Text-Based Game Agents ICLR 2025 Spiral of Silence in Large Language Model Agents EMNLP 2025 MTPChat: A Multimodal Time-Aware Persona Dataset for Conversational Agents NAACL 2025 Hazards in Daily Life? Enabling Robots to Proactively Detect and Resolve Anomalies NAACL 2025 Unmasking Style Sensitivity: A Causal Analysis of Bias Evaluation Instability in Large Language Models ACL 2025 Understanding Large Language Model Vulnerabilities to Social Bias Attacks ACL 2025 Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding ACL 2025 SpatialWebAgent: Leveraging Large Language Models for Automated Spatial Information Extraction and Map Grounding ACL 2025 Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models ACL 2025 ATLAS: Agent Tuning via Learning Critical Steps ACL 2025 Preference Controllable Reinforcement Learning with Advanced Multi-Objective Optimization ICML 2025 Towards Empowerment Gain through Causal Structure Learning in Model-Based Reinforcement Learning ICLR 2025 RuAG: Learned-rule-augmented Generation for Large Language Models ICLR 2025 Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling ICLR 2025 HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents ICLR 2025 PresentAgent: Multimodal Agent for Presentation Video Generation EMNLP 2025 Benchmarking Foundation Models with Retrieval-Augmented Generation in Olympic-Level Physics Problem Solving EMNLP 2025 Enhancing Temporal Sensitivity and Reasoning for Time-Sensitive Question Answering EMNLP 2024 CHAmbi: A New Benchmark on Chinese Ambiguity Challenges for Large Language Models EMNLP 2024 RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering ACL 2024 More than Minorities and Majorities: Understanding Multilateral Bias in Language Generation ACL 2024 Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning ICLR 2024 Representation-Based Robustness in Goal-Conditioned Reinforcement Learning AAAI 2024 MedINST: Meta Dataset of Biomedical Instructions EMNLP 2024 Revisiting Catastrophic Forgetting in Large Language Model Tuning EMNLP 2024 LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing EMNLP 2024 Large Language Models Are Neurosymbolic Reasoners AAAI 2024 Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation ICLR 2024 Human-Guided Moral Decision Making in Text-Based Games AAAI 2024 Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting NIPS 2024 Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf NIPS 2024 How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances EMNLP 2023 Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach NIPS 2023 COOM: A Game Benchmark for Continual Reinforcement Learning NIPS 2023 Dynamic Sparsity Is Channel-Level Sparsity Learner NIPS 2023 Lottery Pools: Winning More by Interpolating Tickets without Increasing Training or Inference Cost AAAI 2023 NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist ACL 2023 CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models ACL 2023 A Survey for Efficient Open Domain Question Answering ACL 2023 A Minimal Approach for Natural Language Action Space in Text-based Games CONLL 2023 Self-imitation Learning for Action Generation in Text-based Games EACL 2023 Turn-Level Active Learning for Dialogue State Tracking EMNLP 2023 Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting EMNLP 2023 CITB: A Benchmark for Continual Instruction Tuning EMNLP 2023 A Minimal Approach for Natural Language Action Space in Text-based Games EMNLP 2023 Stay Moral and Explore: Learn to Behave Morally in Text-based Games ICLR 2023 Are Large Kernels Better Teachers than Transformers for ConvNets? ICML 2023 Fire Burns, Sword Cuts: Commonsense Inductive Bias for Exploration in Text-based Games ACL 2022 Phrase-level Textual Adversarial Attack with Label Preservation NAACL 2022 Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics NAACL 2022 Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL ICLR 2022 TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack EMNLP 2022 Perceiving the World: Question-guided Reinforcement Learning for Text-based Games ACL 2022 Superposing many tickets into one: A performance booster for sparse neural network training UAI 2022 A Model-agnostic Data Manipulation Method for Persona-based Dialogue Generation ACL 2022 DAGN: Discourse-Aware Graph Network for Logical Reasoning NAACL 2021 ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection EMNLP 2021 Generalization in Text-based Games via Hierarchical Reinforcement Learning EMNLP 2021 REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement AAAI 2021 Pretrained Language Models for Dialogue Generation with Multiple Input Sources EMNLP 2020 Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games NIPS 2020 Unsupervised Domain Adaptation on Reading Comprehension AAAI 2020 BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering NAACL 2019 Curriculum-guided Hindsight Experience Replay NIPS 2019 Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition ACL 2019 LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning NIPS 2019 Inter-Class Angular Loss for Convolutional Neural Networks AAAI 2019 DHER: Hindsight Experience Replay for Dynamic Goals ICLR 2019 Teaching Semi-Supervised Classifier via Generalized Distillation IJCAI 2018 Model Transfer for Tagging Low-resource Languages using a Bilingual Dictionary ACL 2017 Learning how to Active Learn: A Deep Reinforcement Learning Approach EMNLP 2017 Learning when to trust distant supervision: An application to low-resource POS tagging using cross-lingual projection CONLL 2016 Iterative Views Agreement: An Iterative Low-Rank Based Structured Optimization Method to Multi-View Spectral Clustering IJCAI 2016 Saliency Propagation From Simple to Difficult CVPR 2015