Huaxiu Yao

Can Editing LLMs Inject Harm? AAAI 2026 SynthAgent: Adapting Web Agents with Synthetic Supervision ACL 2026 MedVerse: Efficient and Reliable Medical Reasoning via DAG-Structured Parallel Execution ACL 2026 FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees ICML 2025 Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks AAAI 2025 Uncertainty Propagation on LLM Agent ACL 2025 Synergistic Weak-Strong Collaboration by Aligning Preferences ACL 2025 Token Level Routing Inference System for Edge Devices ACL 2025 CARMO: Dynamic Criteria Generation for Context Aware Reward Modelling ACL 2025 MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation ACL 2025 Re-Align: Aligning Vision Language Models via Retrieval-Augmented Direct Preference Optimization EMNLP 2025 GLIMPSE: Do Large Vision-Language Models Truly Think With Videos or Just Glimpse at Them? EMNLP 2025 LIFTED: Multimodal Clinical Trial Outcome Prediction via Large Language Models and Mixture-of-Experts EMNLP 2025 Improving Alignment in LVLMs with Debiased Self-Judgment EMNLP 2025 Anyprefer: An Agentic Framework for Preference Data Synthesis ICLR 2025 SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation ICLR 2025 MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models ICLR 2025 CREAM: Consistency Regularized Self-Rewarding Language Models ICLR 2025 MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models ICLR 2025 Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment ICLR 2025 WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving ICML 2025 MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization ICML 2025 Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement NAACL 2025 Verifiable Format Control for Large Language Model Generations NAACL 2025 HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding ICML 2024 Improving Domain Generalization with Domain Relations ICLR 2024 Analyzing and Mitigating Object Hallucination in Large Vision-Language Models ICLR 2024 VHELM: A Holistic Evaluation of Vision Language Models NIPS 2024 CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models NIPS 2024 Reinforcement Learning-Driven LLM Agent for Automated Attacks on LLMs ACL 2024 Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations MICCAI 2024 Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment NIPS 2024 Calibrated Self-Rewarding Vision Language Models NIPS 2024 S$^{2}$FT: Efficient, Scalable and Generalizable LLM Fine-tuning by Structured Sparsity NIPS 2024 Multimodal Representation Learning by Alternating Unimodal Adaptation CVPR 2024 How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs ECCV 2024 AutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via Controllable Question Decomposition NAACL 2024 RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models EMNLP 2024 Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024 Conformal Prediction for Deep Classifier via Label Ranking ICML 2024 One Meta-tuned Transformer is What You Need for Few-shot Learning ICML 2024 Generating Chain-of-Thoughts with a Pairwise-Comparison Approach to Searching for the Most Promising Intermediate Thought ICML 2024 Towards Reliable Learning in the Wild: Generalization and Adaptation AAAI 2024 Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences ACL 2024 Fine-Tuning Language Models for Factuality ICLR 2024 An Iterative Self-Learning Framework for Medical Domain Generalization NIPS 2023 Meta-Learning with Neural Bandit Scheduler NIPS 2023 Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback EMNLP 2023 Macedon: Minimizing Representation Coding Rate Reduction for Cross-Lingual Natural Language Understanding EMNLP 2023 Diversify and Disambiguate: Out-of-Distribution Robustness via Disagreement ICLR 2023 Understanding Train-Validation Split in Meta-Learning with Neural Networks ICLR 2023 Surgical Fine-Tuning Improves Adaptation to Distribution Shifts ICLR 2023 Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time NIPS 2022 Improving Out-of-Distribution Robustness via Selective Augmentation ICML 2022 Meta-Learning with Fewer Tasks through Task Interpolation ICLR 2022 C-Mixup: Improving Generalization in Regression NIPS 2022 GRASP: Navigating Retrosynthetic Planning with Goal-driven Policy NIPS 2022 Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation ACL 2022 Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery NIPS 2021 Neural Utility Functions AAAI 2021 Meta-learning with an Adaptive Task Scheduler NIPS 2021 Knowledge-Aware Meta-learning for Low-Resource Text Classification EMNLP 2021 Improving Generalization in Meta-learning via Task Augmentation ICML 2021 Automated Relational Meta-learning ICLR 2020 Graph Few-Shot Learning via Knowledge Transfer AAAI 2020 MetaLight: Value-Based Meta-Reinforcement Learning for Traffic Signal Control AAAI 2020 Few-Shot Knowledge Graph Completion AAAI 2020 Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values AAAI 2020 Online Structured Meta-learning NIPS 2020 Hierarchically Structured Meta-learning ICML 2019 Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction AAAI 2019