Min-Hsuan Yeh

According to our database, Min-Hsuan Yeh authored at least 13 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Clean First, Align Later: Benchmarking Preference Data Cleaning for Reliable LLM Alignment.

Min-Hsuan Yeh, Yixuan Li

CoRR, September, 2025

Cognition-of-Thought Elicits Social-Aligned Reasoning in Large Language Models.

Xuanming Zhang, Yuxuan Chen, Min-Hsuan Yeh, Yixuan Li

CoRR, September, 2025

LUMINA: Detecting Hallucinations in RAG System with Context-Knowledge Signals.

Min-Hsuan Yeh, Yixuan Li, Tanwi Mallick

CoRR, September, 2025

MetaMind: Modeling Human Social Thoughts with Metacognitive Multi-Agent Systems.

Xuanming Zhang, Yuxuan Chen, Min-Hsuan Yeh, Yixuan Li

CoRR, May, 2025

How to Steer LLM Latents for Hallucination Detection?

Seongheon Park, Xuefeng Du, Min-Hsuan Yeh, Haobo Wang, Yixuan Li

CoRR, March, 2025

Can Your Uncertainty Scores Detect Hallucinated Entity?

Min-Hsuan Yeh, Max Kamachee, Seongheon Park, Yixuan Li

CoRR, February, 2025

HalluEntity: Benchmarking and Understanding Entity-Level Hallucination Detection.

Min-Hsuan Yeh, Max Kamachee, Seongheon Park, Yixuan Li

Trans. Mach. Learn. Res., 2025

2024

CoCoLoFa: A Dataset of News Comments with Common Logical Fallacies Written by LLM-Assisted Crowds.

Min-Hsuan Yeh, Ruyuan Wan, Ting-Hao Kenneth Huang

CoRR, 2024

How Reliable Is Human Feedback For Aligning Large Language Models?

Min-Hsuan Yeh, Leitian Tao, Jeffrey Wang, Xuefeng Du, Yixuan Li

CoRR, 2024

Analyzing the Relationship Between Difference and Ratio-Based Fairness Metrics.

Min-Hsuan Yeh, Blossom Metevier, Austin Hoag, Philip S. Thomas

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

CoCoLoFa: A Dataset of News Comments with Common Logical Fallacies Written by LLM-Assisted Crowds.

Min-Hsuan Yeh, Ruyuan Wan, Ting-Hao Huang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2022

Multi-VQG: Generating Engaging Questions for Multiple Images.

Min-Hsuan Yeh, Vincent Chen, Ting-Hao (Kenneth) Huang, Lun-Wei Ku

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Lying Through One's Teeth: A Study on Verbal Leakage Cues.

Min-Hsuan Yeh, Lun-Wei Ku

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021