🧑‍🔬 Huaxiu Yao

🏛️ Affiliations

🎓University of North Carolina at Chapel HillChapel Hill · United States2022–2026 · 94 paperscurrent🏥University of North Carolina Health CareChapel Hill · United States2025–2026 · 2 paperscurrent🎓Pennsylvania State UniversityState College · United States2017–2021 · 24 papers🎓Stanford UniversityStanford · United States2021–2023 · 18 papers🎓University of California, Santa CruzSanta Cruz · United States2025–2026 · 3 papers🎓University of Electronic Science and Technology of ChinaChengdu · China2017–2019 · 3 papers🎓Carnegie Mellon UniversityPittsburgh · United States2022–2023 · 2 papers🎓Harvard UniversityCambridge · United States2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Fine-tuning Language Models for Factuality (2023 · 127 citations)
   LLMs often produce fluent but false statements, especially in long-form text. Checking such output by hand is slow and costly, so supervising factuality with human labels does not scale. The authors fine-tune Llama-2 7B models toward fewer factual errors without any human annotation. For each unlabeled prompt, such…
2. SimpleOCR: Rendering Visual Questions to Teach MLLMs to Read (2026)
   The paper asks whether multimodal LLMs actually use their OCR skills during reasoning or mostly rely on the question supplied as text.
3. SynthAgent: Adapting Web Agents with Synthetic Supervision (2026)
   Web agents often fail on websites they never saw during training. Such sites rarely come with tasks or demonstrations, and hiring people to write them for each new site is costly. Earlier synthetic-data pipelines fix only one half of the task–trajectory pair. Some produce hallucinated, infeasible goals. Others…

All works

24 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. Holistic Evaluation of Language Models ↗arXiv:2211.09110 · Published in Transactions on Machine Learning Research (TMLR), 2023 · no summary yetPercy Liang et al.2022 · 1,001 citations
2. Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetHuaxiu Yao et al.2019 · 829 citations
3. Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetKatherine Tian et al.2023 · 393 citations
4. Few-Shot Knowledge Graph Completion ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetChuxu Zhang et al.2020 · 234 citations
5. MetaLight: Value-Based Meta-Reinforcement Learning for Traffic Signal Control ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetXinshi Zang et al.2020 · 169 citations
6. Analyzing and Mitigating Object Hallucination in Large Vision-Language Models ↗arXiv:2310.00754 · no summary yetYiyang Zhou et al.2023 · 134 citations
7. Fine-tuning Language Models for FactualityarXiv:2311.08401Katherine Tian, Eric Mitchell, Huaxiu Yao, et al.2023 · 127 citations
8. RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models ↗Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yetPeng Xia et al.2024 · 95 citations
9. Surgical Fine-Tuning Improves Adaptation to Distribution Shifts ↗arXiv (Cornell University) · no summary yetYoonho Lee et al.2022 · 67 citations
10. Multimodal Representation Learning by Alternating Unimodal Adaptation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetXiaohui Zhang et al.2024 · 66 citations
11. Non-Stationary Model for Crime Rate Inference Using Modern Urban Data ↗IEEE Transactions on Big Data · no summary yetHongjian Wang et al.2017 · 52 citations
12. Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences ↗Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetXiyao Wang et al.2024 · 48 citations
13. VHELM: A Holistic Evaluation of Vision Language Models ↗neural information processing systems · no summary yetTong Lee et al.2024 · 34 citations
14. On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective ↗arXiv (Cornell University) · no summary yetY. Huang et al.2025 · 16 citations
15. ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding ↗neural information processing systems · no summary yetYiyang Zhou et al.2025 · 9 citations
16. Online Structured Meta-learning ↗arXiv (Cornell University) · no summary yetHuaxiu Yao et al.2020 · 9 citations
17. SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation ↗arXiv (Cornell University) · no summary yetJaehong Yoon et al.2024 · 8 citations
18. UQ: Assessing Language Models on Unsolved Questions ↗arXiv (Cornell University) · no summary yetNie, Fan et al.2025 · 6 citations
19. Scaling Agent Learning via Experience Synthesis ↗arXiv (Cornell University) · no summary yetChen, Zhaorun et al.2025 · 6 citations
20. Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards ↗arXiv (Cornell University) · no summary yetFang Wu et al.2025 · 3 citations
21. Anyprefer: An Agentic Framework for Preference Data Synthesis ↗arXiv (Cornell University) · no summary yetYiyang Zhou et al.2025 · 3 citations
22. Alignment Tipping Process: How Self-Evolution Pushes LLM Agents Off the Rails ↗arXiv (Cornell University) · no summary yetSiwei Han et al.2025 · 2 citations
23. SimpleOCR: Rendering Visual Questions to Teach MLLMs to ReadFindings of the Association for Computational LinguisticsYibo Peng, Peng Xia, Ding Zhong, et al.2026
24. SynthAgent: Adapting Web Agents with Synthetic SupervisionAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaoyang Wang, Yiming Liang, Xuchao Zhang, et al.2026

🤝 Co-authors here

12 of 13 co-authors with a page, the most papers together first.

• Siwei Han ×2
• Baolin Peng
• Chelsea Finn
• Christopher D. Manning
• Eric Mitchell
• Jianfeng Gao
• Qianhui Wu
• Ruiyi Zhang
• Saravan Rajmohan
• Xuchao Zhang
• Yibo Peng
• Yiming Liang

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Proceedings of the AAAI Conference on Artificial Intelligence ×3
• Annual Meeting of the Association for Computational Linguistics (ACL) ×2: ACL 2026
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing ×2
• neural information processing systems ×2
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
• IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
• IEEE Transactions on Big Data

🔗 Cited by

Papers of our library cite their works 1,752 times (of the 149,439 papers whose bibliographies we read); 357 citing papers with a page here →.

Updated 1 November 2026

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