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20162025
most citedTowards Implicit Bias Detection and Mitigation in Multi-Agent LLM Interactions

1 citations · 1 across the 2 of their papers we have counts for

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cs.LG2025

Weight-sparse transformers have interpretable circuits

Leo Gao, Achyuta Rajaram, Jacob Coxon +3

Finding human-understandable circuits in language models is a central goal of the field of mechanistic interpretability. We train models to have more understandable circuits by con…

cs.CL2025

Considering Length Diversity in Retrieval-Augmented Summarization

Juseon-Do, Jaesung Hwang, Jingun Kwon +2

This study investigates retrieval-augmented summarization by specifically examining the impact of exemplar summary lengths under length constraints, not covered by previous work. W…