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#artificial intelligence Preprint Mar 2026

Toward Measuring Structural Drift in LLM Communication Loops

Structural communication coherence is introduced, quantified by two metrics: communication closure, which asks if what the pipeline returns at one turn matches what it faces next, and normalized conditional action contribution, which measures how much a sent message resolves the subsequent reply.

Wael Hafez, Amirhossein Nazeri, Chen Wei · 1 citation
Preprint Aug 2026

SoftmaxGRPO: Learning to Reason using Softmax Advantage Group Estimation

Softmax Advantage Group Estimation (SoftmaxGRPO), a drop-in alternative that replaces z-score-normalized group advantages with temperature-scaled softmax advantages, keeping weights bounded regardless of prompt difficulty, is introduced.

Jefferson Hernandez, Jaywon Koo, Zi-Lin Xiao et al. · 0 citations

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