DRER rewards CoT trajectories that increase the model's likelihood of the correct answer, plus a length penalty, and the new LogicTree benchmark reportedly lifts a 7B model's average accuracy from 0.13 to 0.60.
大模型逻辑推理研究综述 (survey on logical reasoning of large pre- trained language models)
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Rethinking Reasoning Quality in Large Language Models through Enhanced Chain-of-Thought via RL
DRER rewards CoT trajectories that increase the model's likelihood of the correct answer, plus a length penalty, and the new LogicTree benchmark reportedly lifts a 7B model's average accuracy from 0.13 to 0.60.