AI RESEARCH
Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation
arXiv CS.LG
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ArXi:2604.16197v1 Announce Type: new Data attribution and valuation are critical for understanding data-model synergy for Large Language Models (LLMs), yet existing gradient-based methods suffer from scalability challenges on LLMs. Inspired by human cognition, where decision making relies on a focused readout of relevant memories rather than replaying all pathways, we