Huaxiu Yao

Can Editing LLMs Inject Harm? AAAI 2026 MedVerse: Efficient and Reliable Medical Reasoning via DAG-Structured Parallel Execution ACL 2026 Paper2Figure: A Multi-Agent Collaborative System for Figure Generation Towards Academic Research Paper CVPR 2026 SynthAgent: Adapting Web Agents with Synthetic Supervision ACL 2026 When Visualizing is the First Step to Reasoning: MIRA, a Benchmark for Visual Chain-of-Thought CVPR 2026 Anyprefer: An Agentic Framework for Preference Data Synthesis ICLR 2025 CARMO: Dynamic Criteria Generation for Context Aware Reward Modelling ACL 2025 CREAM: Consistency Regularized Self-Rewarding Language Models ICLR 2025 Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement NAACL 2025 FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees ICML 2025 Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment ICLR 2025 GLIMPSE: Do Large Vision-Language Models Truly Think With Videos or Just Glimpse at Them? EMNLP 2025 Improving Alignment in LVLMs with Debiased Self-Judgment EMNLP 2025 LIFTED: Multimodal Clinical Trial Outcome Prediction via Large Language Models and Mixture-of-Experts EMNLP 2025 MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation ACL 2025 MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization ICML 2025 MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models ICLR 2025 MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models ICLR 2025 Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks AAAI 2025 Re-Align: Aligning Vision Language Models via Retrieval-Augmented Direct Preference Optimization EMNLP 2025 SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation ICLR 2025 Synergistic Weak-Strong Collaboration by Aligning Preferences ACL 2025 Token Level Routing Inference System for Edge Devices ACL 2025 Uncertainty Propagation on LLM Agent ACL 2025 Verifiable Format Control for Large Language Model Generations NAACL 2025 WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving ICML 2025 Analyzing and Mitigating Object Hallucination in Large Vision-Language Models ICLR 2024 AutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via Controllable Question Decomposition NAACL 2024 Calibrated Self-Rewarding Vision Language Models NeurIPS 2024 CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models NeurIPS 2024 Conformal Prediction for Deep Classifier via Label Ranking ICML 2024 Fine-Tuning Language Models for Factuality ICLR 2024 Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations MICCAI 2024 Generating Chain-of-Thoughts with a Pairwise-Comparison Approach to Searching for the Most Promising Intermediate Thought ICML 2024 HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding ICML 2024 How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs ECCV 2024 Improving Domain Generalization with Domain Relations ICLR 2024 Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences ACL 2024 Multimodal Representation Learning by Alternating Unimodal Adaptation CVPR 2024 One Meta-tuned Transformer is What You Need for Few-shot Learning ICML 2024 Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024 Reinforcement Learning-Driven LLM Agent for Automated Attacks on LLMs ACL 2024 RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models EMNLP 2024 S$^{2}$FT: Efficient, Scalable and Generalizable LLM Fine-tuning by Structured Sparsity NeurIPS 2024 Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment NeurIPS 2024 Towards Reliable Learning in the Wild: Generalization and Adaptation AAAI 2024 VHELM: A Holistic Evaluation of Vision Language Models NeurIPS 2024 An Iterative Self-Learning Framework for Medical Domain Generalization NeurIPS 2023 Diversify and Disambiguate: Out-of-Distribution Robustness via Disagreement ICLR 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 Meta-Learning with Neural Bandit Scheduler NeurIPS 2023 Surgical Fine-Tuning Improves Adaptation to Distribution Shifts ICLR 2023 Understanding Train-Validation Split in Meta-Learning with Neural Networks ICLR 2023 C-Mixup: Improving Generalization in Regression NeurIPS 2022 GRASP: Navigating Retrosynthetic Planning with Goal-driven Policy NeurIPS 2022 Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation ACL 2022 Improving Out-of-Distribution Robustness via Selective Augmentation ICML 2022 Meta-Learning with Fewer Tasks through Task Interpolation ICLR 2022 Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time NeurIPS 2022 Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery NeurIPS 2021 Improving Generalization in Meta-learning via Task Augmentation ICML 2021 Knowledge-Aware Meta-learning for Low-Resource Text Classification EMNLP 2021 Meta-learning with an Adaptive Task Scheduler NeurIPS 2021 Neural Utility Functions AAAI 2021 Automated Relational Meta-learning ICLR 2020 Few-Shot Knowledge Graph Completion AAAI 2020 Graph Few-Shot Learning via Knowledge Transfer AAAI 2020 Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values AAAI 2020 MetaLight: Value-Based Meta-Reinforcement Learning for Traffic Signal Control AAAI 2020 Online Structured Meta-learning NeurIPS 2020 Hierarchically Structured Meta-learning ICML 2019 Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction AAAI 2019