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HyperLens: Quantifying Cognitive Effort in LLMs with Fine-grained Confidence Trajectory

arXiv cs.AI · 2026-05-08 Cached

This paper introduces HyperLens, a high-resolution probe to quantify cognitive effort in LLMs by tracing fine-grained confidence trajectories across layers. It reveals that complex tasks require higher cognitive effort and demonstrates how Supervised Fine-Tuning can reduce this effort, potentially degrading performance.

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