Massive activations are constant large values in LLMs that function as indispensable bias terms and concentrate attention probabilities on specific tokens.
Chain-of-thought prompting elicits reasoning in large language models
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Presents an audit-constrained protocol for targeted LLM reasoning evaluation using component grammar prompt variants and shows that Component-Adaptive Prompt Sampling does not outperform uniform sampling in audited yield.
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Massive Activations in Large Language Models
Massive activations are constant large values in LLMs that function as indispensable bias terms and concentrate attention probabilities on specific tokens.
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Targeted Tests for LLM Reasoning: An Audit-Constrained Protocol
Presents an audit-constrained protocol for targeted LLM reasoning evaluation using component grammar prompt variants and shows that Component-Adaptive Prompt Sampling does not outperform uniform sampling in audited yield.