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cs.LG2026
Beyond Shapley: An Influence-Based Data Auditing Pipeline for LLM Alignment and Evaluation
Yunting Song, Matthew Watson, Peter Grabowski +1
The alignment of Large Language Models (LLMs) is increasingly bottlenecked by data quality. As datasets scale, massive preference and instruction-tuning corpora inevitably accumula…
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…