Project
Reasoning Efficiency
Understanding how language models can make steadier progress under limited inference budgets.
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This project studies whether models use additional inference compute to make measurable progress, rather than merely producing longer traces. The dashboard records hypotheses, experimental design, results, and unresolved questions.
Research threads
Newest firstMeasuring progress across reasoning episodes
Define and validate metrics that distinguish useful intermediate reasoning from repeated or unproductive computation.