Beyond Shapley: an influence-based data auditing pipeline for LLM alignment and evaluation
Read the original at arxiv.org→arXiv:2607.22766v1 Announce Type: new Abstract: The alignment of Large Language Models (LLMs) is increasingly bottlenecked by data quality. As datasets scale, massive preference and instruction-tuning corpora...
Original headline: "Beyond Shapley: An Influence-Based Data Auditing Pipeline for LLM Alignment and Evaluation"
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- Jul 28, 04:00 UTC arXiv cs.LG lead source Beyond Shapley: An Influence-Based Data Auditing Pipeline for LLM Alignment and Evaluation