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predictive entropy

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papersSEP 12 04:00 UTC

Stability-Aware Test-Time Adaptation Proposed for LLM Reasoning

A new arXiv preprint describes a test-time adaptation technique for improving large language model reasoning on downstream tasks without expensive post-training. The method builds on predictive entropy as a model-derived signal but adds a stability-aware component to guide adaptation. The abstract presents the approach as a lightweight alternative to retraining or fine-tuning.

test-time-adaptation/llm-reasoning/inference/research