17 citations · 19 across the 9 of their papers we have counts for
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cs.CL2026
Relational Response Fields: A General Theory of Black-Box LLM Response Consistency and Recovery
Song Zichen
Black-box language-model reliability is commonly pursued by sampling, prompting, voting, verifying, or iteratively revising individual answers. We ask a prior question: \emph{what…
cs.CL2024★ 1 cited
Layer Importance and Hallucination Analysis in Large Language Models via Enhanced Activation Variance-Sparsity
Zichen Song, Sitan Huang, Yuxin Wu +1
Evaluating the importance of different layers in large language models (LLMs) is crucial for optimizing model performance and interpretability. This paper first explores layer impo…
cs.CL2024
AVSS: Layer Importance Evaluation in Large Language Models via Activation Variance-Sparsity Analysis
Zichen Song, Yuxin Wu, Sitan Huang +1
The evaluation of layer importance in deep learning has been an active area of research, with significant implications for model optimization and interpretability. Recently, large…