← Authors

Meng Fang

80 papers · 2015–2026 · 12 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (12) πŸƒ Academic Marathon (10) 🐝 Cross-Pollinator (14) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (141) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (12) 🌟 Keyword Trendsetter Combo (3) 🀝 Dynamic Duo (24) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ‘₯ Mega-Team (40) πŸ”¬ Deep Specialist (10) 🧬 Topic Evolution πŸ† Keyword Champion (9) ⚑ Prolific Year (14) πŸš€ Conference Pioneer ❓ The Questioner (5) πŸ”₯ Unstoppable (11) πŸ’Ž Century Club (74) πŸ—ƒοΈ Keyword Collector (293)

Conferences

EMNLP (18) ACL (16) AAAI (11) ICLR (10) NIPS (8) NAACL (6) EACL (3) CONLL (2) ICML (2) IJCAI (2) CVPR (1) UAI (1)

Top co-authors

Ling Chen (27) Mykola Pechenizkiy (23) Yali Du (16) Zijing Shi (9) Jun Wang (8) Dacheng Tao (8) Zihan Zhang (7) Yu Cao (7) Tianyi Zhou (7) Jiaxu Zhao (6)

Research topics

Education (1)

Keywords

large language model (16) reinforcement learning (14) text-based game (9) language model (7) question answering (6) knowledge distillation (5) multimodal learning (4) social bia (4) catastrophic forgetting (3) bias evaluation (3) multi-agent system (3) benchmark dataset (3) deep reinforcement learning (3) named entity recognition (3) model compression (3) active learning (3) multi-agent reinforcement learning (3) dialogue generation (3) information retrieval (3) zero-shot learning (2)

Papers

VaseVQA: Multimodal Agent and Benchmark for Ancient Greek Pottery EACL 2026
Investigating Social Bias Propagation in Federated Fine-tuning of Large Language Models AAAI 2026
Safe Multi-agent Reinforcement Learning with Natural Language Constraints AAAI 2026
Vision-Language Reasoning for Geolocalization: A Reinforcement Learning Approach AAAI 2026
Causality-Aware Efficient Exploration for Cooperative Multi-Agent Reinforcement Learning AAAI 2026
MATH-IDN: A Multilingual Mathematical Problem Solving Dataset Featuring Local Languages in Indonesia EACL 2026
HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents ICLR 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
PresentAgent: Multimodal Agent for Presentation Video Generation EMNLP 2025
Benchmarking Foundation Models with Retrieval-Augmented Generation in Olympic-Level Physics Problem Solving EMNLP 2025
Spiral of Silence in Large Language Model Agents EMNLP 2025
Monte Carlo Planning with Large Language Model for Text-Based Game Agents ICLR 2025
Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling ICLR 2025
RuAG: Learned-rule-augmented Generation for Large Language Models ICLR 2025
Towards Empowerment Gain through Causal Structure Learning in Model-Based Reinforcement Learning ICLR 2025
Preference Controllable Reinforcement Learning with Advanced Multi-Objective Optimization ICML 2025
Hazards in Daily Life? Enabling Robots to Proactively Detect and Resolve Anomalies NAACL 2025
MTPChat: A Multimodal Time-Aware Persona Dataset for Conversational Agents NAACL 2025
Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation ICLR 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
RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering ACL 2024
Human-Guided Moral Decision Making in Text-Based Games AAAI 2024
Large Language Models Are Neurosymbolic Reasoners AAAI 2024
Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf NIPS 2024
More than Minorities and Majorities: Understanding Multilateral Bias in Language Generation ACL 2024
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing EMNLP 2024
Revisiting Catastrophic Forgetting in Large Language Model Tuning EMNLP 2024
MedINST: Meta Dataset of Biomedical Instructions EMNLP 2024
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
Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting NIPS 2024
Are Large Kernels Better Teachers than Transformers for ConvNets? ICML 2023
COOM: A Game Benchmark for Continual Reinforcement Learning NIPS 2023
Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach NIPS 2023
A Survey for Efficient Open Domain Question Answering ACL 2023
Stay Moral and Explore: Learn to Behave Morally in Text-based Games ICLR 2023
Turn-Level Active Learning for Dialogue State Tracking EMNLP 2023
CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models ACL 2023
NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist ACL 2023
How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances 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 CONLL 2023
A Minimal Approach for Natural Language Action Space in Text-based Games EMNLP 2023
Self-imitation Learning for Action Generation in Text-based Games EACL 2023
Lottery Pools: Winning More by Interpolating Tickets without Increasing Training or Inference Cost AAAI 2023
Dynamic Sparsity Is Channel-Level Sparsity Learner NIPS 2023
Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics NAACL 2022
TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack EMNLP 2022
Phrase-level Textual Adversarial Attack with Label Preservation NAACL 2022
Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL ICLR 2022
Superposing many tickets into one: A performance booster for sparse neural network training UAI 2022
Perceiving the World: Question-guided Reinforcement Learning for Text-based Games ACL 2022
A Model-agnostic Data Manipulation Method for Persona-based Dialogue Generation ACL 2022
Fire Burns, Sword Cuts: Commonsense Inductive Bias for Exploration in Text-based Games ACL 2022
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
DAGN: Discourse-Aware Graph Network for Logical Reasoning NAACL 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
Curriculum-guided Hindsight Experience Replay NIPS 2019
Inter-Class Angular Loss for Convolutional Neural Networks AAAI 2019
Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition ACL 2019
BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering NAACL 2019
DHER: Hindsight Experience Replay for Dynamic Goals ICLR 2019
LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning NIPS 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
Iterative Views Agreement: An Iterative Low-Rank Based Structured Optimization Method to Multi-View Spectral Clustering IJCAI 2016
Learning when to trust distant supervision: An application to low-resource POS tagging using cross-lingual projection CONLL 2016
Saliency Propagation From Simple to Difficult CVPR 2015