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cs.CL2026
Intrinsic Sequence-Likelihood Confidence in Retrieval-Dominated Extractive QA: Two Pre-Specified Negatives, and What They Do and Do Not Attribute
Gunwoo Lee, Changmin Sung, Sang-Hwan Gwak +4
In extractive document question answering whose questions were generated from the passages that contain their answers -- so that retrieval recovers 92-99.8% of what any mode combin…
cs.CL2025
Language Models Identify Ambiguities and Exploit Loopholes
Jio Choi, Mohit Bansal, Elias Stengel-Eskin
Studying the responses of large language models (LLMs) to loopholes presents a two-fold opportunity. First, it affords us a lens through which to examine ambiguity and pragmatics i…