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On-policy distillation (OPD) trains a student on its own reasoning trajectories using feedback from a stronger teacher. Teacher interventions can improve these trajectories, but also change the distribution on which the student learns. Our controlled studies show that rollout quality alone is an incomplete criterion fo...
As Large Language Models (LLMs) evolve, parallel reasoning has emerged as a vital inference paradigm that enhances robustness by concurrently exploring multiple thought trajectories. Unlike fragile sequential methods, parallel reasoning expands inference breadth to significantly improve problem-solving performance. T...
FormalEvolve maintains a compilation-feasible archive for reuse and returns a deduplicated, semantically accepted repertoire for evaluation and downstream proving, and shows that archive-search gains persist with stronger seed and repair models.
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