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cs.AI2026
Explaining Black-Box Language Models: Learning to Optimize Linguistically-Structured Word Subsets
Minyoung Hwang, Seokhyun Lee, Changhee Lee
As deep language models (DLMs) are increasingly deployed in high-stakes domains such as healthcare, understanding their decision rationale becomes paramount for ensuring trust, saf…
cs.AI2026
Localizing Input Uncertainty Quantification for Large Language Models via Shapley Values
Seongjun Lee, Suwan Yoon, Changhee Lee
As large language models (LLMs) are increasingly integrated into high-stakes decision-making, the ability to reliably quantify uncertainty has become a critical requirement for saf…