Meng Jiang

Context Selection and Rewriting for Video-based Educational Question Generation AAAI 2026 MMTutorBench: The First Multimodal Benchmark for AI Math Tutoring ACL 2026 Mitigating Lost in Multi-turn Conversation via Curriculum RL with Verifiable Accuracy and Abstention Rewards ACL 2026 Instant Personalized Large Language Model Adaptation via Hypernetwork ACL 2026 Knowledge Control for Responsible Generative AI: Bridging Academia, Industry, and Society ACL 2026 Pre-trained Models Perform the Best When Token Distributions Follow Zipf’s Law EMNLP 2025 Optimizing Decomposition for Optimal Claim Verification ACL 2025 Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models ACL 2025 Disentangling Biased Knowledge from Reasoning in Large Language Models via Machine Unlearning ACL 2025 UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations ACL 2025 Aligning Large Language Models with Implicit Preferences from User-Generated Content ACL 2025 Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models ACL 2025 Enhancing Mathematical Reasoning in LLMs by Stepwise Correction ACL 2025 QG-SMS: Enhancing Test Item Analysis via Student Modeling and Simulation ACL 2025 CodeTaxo: Enhancing Taxonomy Expansion with Limited Examples via Code Language Prompts ACL 2025 Incorporating Rather Than Eliminating: Achieving Fairness for Skin Disease Diagnosis Through Group-Specific Experts MICCAI 2025 Learning Molecular Representation in a Cell ICLR 2025 Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning ICLR 2025 Advancing Language Models through Instruction Tuning: Recent Progress and Challenges EMNLP 2025 Improving Large Language Models Function Calling and Interpretability via Guided-Structured Templates EMNLP 2025 MentalGLM Series: Explainable Large Language Models for Mental Health Analysis on Chinese Social Media EMNLP 2025 Pre-trained Behavioral Model for Malicious User Prediction on Social Platform AAAI 2025 MultiChartQA: Benchmarking Vision-Language Models on Multi-Chart Problems NAACL 2025 IHEval: Evaluating Language Models on Following the Instruction Hierarchy NAACL 2025 Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench NAACL 2025 Benchmarking Language Model Creativity: A Case Study on Code Generation NAACL 2025 RAt: Injecting Implicit Bias for Text-To-Image Prompt Refinement Models EMNLP 2024 Get an A in Math: Progressive Rectification Prompting AAAI 2024 Large Language Models Can Self-Correct with Key Condition Verification EMNLP 2024 Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning EMNLP 2024 Instructing Large Language Models to Identify and Ignore Irrelevant Conditions NAACL 2024 Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning EMNLP 2024 Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024 Reference-based Metrics Disprove Themselves in Question Generation EMNLP 2024 OpenFMNav: Towards Open-Set Zero-Shot Object Navigation via Vision-Language Foundation Models NAACL 2024 Graph Diffusion Transformers for Multi-Conditional Molecular Generation NIPS 2024 Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models NIPS 2024 PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning ACL 2024 Towards Safer Large Language Models through Machine Unlearning ACL 2024 Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts EMNLP 2024 TOWER: Tree Organized Weighting for Evaluating Complex Instructions EMNLP 2024 Data-Centric Learning from Unlabeled Graphs with Diffusion Model NIPS 2023 Large Language Models are Built-in Autoregressive Search Engines ACL 2023 Embedding Mental Health Discourse for Community Recommendation ACL 2023 A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods EACL 2023 IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions EMNLP 2023 Pre-training Language Models for Comparative Reasoning EMNLP 2023 Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models EMNLP 2023 Generate rather than Retrieve: Large Language Models are Strong Context Generators ICLR 2023 A Unified Encoder-Decoder Framework with Entity Memory EMNLP 2022 Learning from Counterfactual Links for Link Prediction ICML 2022 Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts NAACL 2022 Dict-BERT: Enhancing Language Model Pre-training with Dictionary ACL 2022 Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts ACL 2022 Knowledge-Augmented Methods for Natural Language Processing ACL 2022 Retrieval Augmentation for Commonsense Reasoning: A Unified Approach EMNLP 2022 Technical Question Answering across Tasks and Domains NAACL 2021 Validating Label Consistency in NER Data Annotation EMNLP 2021 Data Augmentation for Graph Neural Networks AAAI 2021 Injecting Entity Types into Entity-Guided Text Generation EMNLP 2021 Sentence-Permuted Paragraph Generation EMNLP 2021 Knowledge-Enriched Natural Language Generation EMNLP 2021 Enhancing Factual Consistency of Abstractive Summarization NAACL 2021 Tri-Train: Automatic Pre-Fine Tuning between Pre-Training and Fine-Tuning for SciNER EMNLP 2020 Crossing Variational Autoencoders for Answer Retrieval ACL 2020 A Technical Question Answering System with Transfer Learning EMNLP 2020 Multi-Label Patent Categorization with Non-Local Attention-Based Graph Convolutional Network AAAI 2020 Graph Few-Shot Learning via Knowledge Transfer AAAI 2020 A Probabilistic Model with Commonsense Constraints for Pattern-based Temporal Fact Extraction ACL 2020 Few-Shot Knowledge Graph Completion AAAI 2020 Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases EMNLP 2020 Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text EMNLP 2019 Faceted Hierarchy: A New Graph Type to Organize Scientific Concepts and a Construction Method EMNLP 2019 Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text IJCNLP 2019 ContextCare: Incorporating Contextual Information Networks to Representation Learning on Medical Forum Data IJCAI 2017 Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences ACL 2017