AIBullisharXiv – CS AI · Mar 46/103
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Reducing Belief Deviation in Reinforcement Learning for Active Reasoning
Researchers introduce T³, a new method to improve large language model (LLM) agents' reasoning abilities by tracking and correcting 'belief deviation' - when AI agents lose accurate understanding of problem states. The technique achieved up to 30-point performance gains and 34% token cost reduction across challenging tasks.
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