First-Order In-Context Shapley: Scalable Data Auditing for LLM Alignment and Evaluation.
arXiv:2607.22766v2 Announce Type: replace-cross Abstract: Post-training alignment of Large Language Models is increasingly bottlenecked by data quality: preference and instruction-tuning corpora accumulate label noise, safety inversions, and inter-annotator co
arXiv cs.AIResearch source·