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cs.LG2026
First-Order In-Context Shapley: Scalable Data Auditing for LLM Alignment and Evaluation
Yunting Song, Matthew Watson, Moustafa Farid Alzantot +2
Post-training alignment of Large Language Models is increasingly bottlenecked by data quality: preference and instruction-tuning corpora accumulate label noise, safety inversions,…
cs.LG2025
Beyond Markovian: Reflective Exploration via Bayes-Adaptive RL for LLM Reasoning
Shenao Zhang, Yaqing Wang, Yinxiao Liu +5
Large Language Models (LLMs) trained via Reinforcement Learning (RL) have exhibited strong reasoning capabilities and emergent reflective behaviors, such as rethinking and error co…