作者位次 #2/4NeurIPS 2026Poster
PAC Learning with Bandit Feedback: Sharp Sample Complexity in the Realizable Setting
Steve Hanneke · Qinglin Meng · Shay Moran · Amirreza Shaeiri
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Steve Hanneke · Qinglin Meng · Shay Moran · Amirreza Shaeiri
Yutong Gao · Qinglin Meng · Yuan Zhou · Liangming Pan
While Large Language Models (LLMs) have achieved strong performance across many NLP tasks, their opaque internal mechanisms hinder trustworthiness and safe deployment. Existing surveys in explainable AI largely focus on post-hoc explanation methods that interpret trained models through external a...