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Step-by-Step Optimization-like Reasoning in LLMs over Expanding Search Spaces

Nicol\'as Astorga, Nabeel Seedat, Mihaela van der Schaar
Jun 5, 2026 at 04:00
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arXiv:2606.05464v1 Announce Type: new Abstract: Verifiable reward training has improved mathematical and coding reasoning, but these domains capture only part of step-by-step decision making. Many real-world tasks require finding a high-value feasible plan among many valid alternatives. We introduce OPT*, a scalable family of optimization-style...

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