I am a 2nd-year Ph.D. student at the University of Wisconsin-Madison Computer Sciences department. I am advised by Professor Sharon Li.

My research centers on developing reliable and trustworthy AI systems, with a particular focus on data-centric alignment and hallucination detection in large language models (LLMs). I investigate how preference feedback data influence alignment, and I design benchmarks and methodologies to detect hallucinations in challenging scenarios—such as long-form text generation and retrieval-augmented generation.

Research Interests

• Reliable Machine Learning
• Hallucination Detection
• Data-centric AI Alignment

📌 I am actively seeking internship opportunities for 2026 Summer!

📢 News [04.07.2026] Our two papers on Analysis of RAG Systems and Uncertainty Quantification for Agentic Systems has been accepted at ACL 2026! 🎉

[01.26.2026] Our two papers on Hallucination in RAG and LLM Deception has been accepted at ICLR 2026! 🎉

[10.21.2025] Our TMLR paper on Entity-level Hallucination Detection has been awarded a J2C Certification and will be presented at ICLR 2026! 🎉

Selected Publications

Full list of publications in Publications, and see Google Scholar for the most updated list.

• How Retrieved Context Shapes Internal Representations in RAG
  Samuel Yeh and Sharon Li
  The 64th Annual Meeting of the Association for Computational Linguistics (ACL), 2026
• Towards Reducible Uncertainty Modeling for Reliable Large Language Model Agents
  Changdae Oh, Seongheon Park, To Eun Kim, Jiatong Li, Wendi Li, Samuel Yeh, Xuefeng Du, Hamed Hassani, Paul Bogdan, Dawn Song, Sharon Li
  The 64th Annual Meeting of the Association for Computational Linguistics (ACL), 2026
• LUMINA: Detecting Hallucinations in RAG System with Context–Knowledge Signals
  Samuel Yeh, Sharon Li, and Tanwi Mallick
  International Conference on Learning Representations (ICLR), 2026
• Simulating and Understanding Deceptive Behaviors in Long-Horizon Interactions
  Yang Xu, Xuanming Zhang, Samuel Yeh, Jwala Dhamala, Ousmane Dia, Rahul Gupta, and Sharon Li
  International Conference on Learning Representations (ICLR), 2026
• HalluEntity: Benchmarking and Understanding Entity-Level Hallucination Detection
  Min-Hsuan Yeh, Max Kamachee, Seongheon Park, and Yixuan Li
  Transactions on Machine Learning Research (TMLR), 2025, J2C Certification

Education

• Ph.D. in Computer Science, University of Wisconsin-Madison
  Advisor: Prof. Sharon Li
  Sep. 2024 - Present

• M.S. in Computer Science, University of Massachusetts-Amherst
  Sep. 2022 - May 2024

• B.S. in Computer Science, National Taiwan University of Science and Technology
  Sep. 2016 - Jan. 2020

Experience

• W.J. Cody Associates, Argonne National Laboratory
  Supervisor: Dr. Tanwi Mallick, May. 2025 - Jul. 2025

• Research Assistant Intern, CrowdAI Lab, Penn State University
  Supervisor: Prof. Ting-Hao ‘Kenneth’ Huang, Jun. 2023 - Feb. 2024

• Research Assistant, NLPSA, Academia Sinica
  Supervisor: Prof. Lun-Wei Ku, May 2020 - Jul. 2022

Academic Services

Conference Reviewer

• ICLR: ‘26
• ACL: ‘24, ‘25, ‘26
• COLING: ‘24, ‘25
• AAAI: ‘22

Misc.

I am a ramen and coffee lover.

Hobbies:

• Roasting coffee
• Making pour-over coffee
• Crocheting
• Cooking
• Table tennis
• Badminton
• Maintaining my wife’s website