← Authors

Huaxiu Yao

69 papers · 2019–2026 · 10 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (6) 🌈 Renaissance Researcher (10) 🌍 Conference Polyglot (10) 🐝 Cross-Pollinator (11) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (17) 🧭 Keyword Pioneer 🀝 Dynamic Duo (11) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ‘₯ Mega-Team (71) πŸ”¬ Deep Specialist (11) πŸ† Keyword Champion (3) πŸš€ Conference Pioneer ⚑ Prolific Year (6) ❓ The Questioner (2) πŸ—ƒοΈ Keyword Collector (223) πŸ’Ž Century Club (68) πŸ”₯ Unstoppable (7) πŸ“ˆ Trend Setter

Conferences

ICLR (14) NIPS (13) ICML (11) AAAI (9) ACL (8) EMNLP (8) NAACL (3) CVPR (1) ECCV (1) MICCAI (1)

Top co-authors

Linjun Zhang (11) Chelsea Finn (11) Yiyang Zhou (11) Ying Wei (10) Wenhao Zheng (8) Zhaoyang Wang (7) Zhaorun Chen (7) Zhenhui Li (7) Peng Xia (7) James Zou (6)

Keywords

large language model (10) few-shot learning (6) domain generalization (5) knowledge transfer (5) domain adaptation (5) multimodal learning (5) continual learning (3) vision language model (3) distribution shift (3) graph neural network (3) preference tuning (3) representation learning (3) reinforcement learning (3) transfer learning (2) benchmark evaluation (2) model compression (2) node classification (2) vision-language model (2) language model (2) preference optimization (2)

Papers

Can Editing LLMs Inject Harm? AAAI 2026
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
Verifiable Format Control for Large Language Model Generations NAACL 2025
Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement NAACL 2025
GLIMPSE: Do Large Vision-Language Models Truly Think With Videos or Just Glimpse at Them? EMNLP 2025
Re-Align: Aligning Vision Language Models via Retrieval-Augmented Direct Preference Optimization EMNLP 2025
MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization ICML 2025
FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees ICML 2025
MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models ICLR 2025
CREAM: Consistency Regularized Self-Rewarding Language Models ICLR 2025
MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models ICLR 2025
SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation ICLR 2025
Anyprefer: An Agentic Framework for Preference Data Synthesis ICLR 2025
Improving Alignment in LVLMs with Debiased Self-Judgment EMNLP 2025
WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving ICML 2025
Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks AAAI 2025
Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment ICLR 2025
LIFTED: Multimodal Clinical Trial Outcome Prediction via Large Language Models and Mixture-of-Experts EMNLP 2025
RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models EMNLP 2024
Calibrated Self-Rewarding Vision Language Models NIPS 2024
S$^{2}$FT: Efficient, Scalable and Generalizable LLM Fine-tuning by Structured Sparsity NIPS 2024
Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment NIPS 2024
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models NIPS 2024
VHELM: A Holistic Evaluation of Vision Language Models NIPS 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
Reinforcement Learning-Driven LLM Agent for Automated Attacks on LLMs ACL 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
Fine-Tuning Language Models for Factuality ICLR 2024
Improving Domain Generalization with Domain Relations ICLR 2024
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models ICLR 2024
HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding ICML 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
Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations MICCAI 2024
AutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via Controllable Question Decomposition NAACL 2024
Diversify and Disambiguate: Out-of-Distribution Robustness via Disagreement ICLR 2023
An Iterative Self-Learning Framework for Medical Domain Generalization NIPS 2023
Meta-Learning with Neural Bandit Scheduler NIPS 2023
Macedon: Minimizing Representation Coding Rate Reduction for Cross-Lingual Natural Language Understanding EMNLP 2023
Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback EMNLP 2023
Understanding Train-Validation Split in Meta-Learning with Neural Networks ICLR 2023
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts ICLR 2023
Meta-Learning with Fewer Tasks through Task Interpolation ICLR 2022
C-Mixup: Improving Generalization in Regression NIPS 2022
Improving Out-of-Distribution Robustness via Selective Augmentation ICML 2022
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time 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
Knowledge-Aware Meta-learning for Low-Resource Text Classification EMNLP 2021
Meta-learning with an Adaptive Task Scheduler NIPS 2021
Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery NIPS 2021
Improving Generalization in Meta-learning via Task Augmentation ICML 2021
Neural Utility Functions AAAI 2021
Few-Shot Knowledge Graph Completion AAAI 2020
Automated Relational Meta-learning ICLR 2020
Online Structured Meta-learning NIPS 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
Graph Few-Shot Learning via Knowledge Transfer AAAI 2020
Hierarchically Structured Meta-learning ICML 2019
Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction AAAI 2019