2 papers
cs.LG2026
Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation
Yide Ran, Jianwen Xie, Minghui Wang +4
Data attribution and valuation are critical for understanding data-model synergy for Large Language Models (LLMs), yet existing gradient-based methods suffer from scalability chall…
cs.AI2025
ALEX:A Light Editing-knowledge Extractor
Minghu Wang, Shuliang Zhao, Yuanyuan Zhao +1
The static nature of knowledge within Large Language Models (LLMs) makes it difficult for them to adapt to evolving information, rendering knowledge editing a critical task. Howeve…