Self-Reasoning Language Models use 1,000 seed catalyst rationales to teach a model to expand its own reasoning chains and iteratively self-improve, gaining about 2.5 points on average across five benchmarks.
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Self-Reasoning Language Models: Unfold Hidden Reasoning Chains with Few Reasoning Catalyst
Self-Reasoning Language Models use 1,000 seed catalyst rationales to teach a model to expand its own reasoning chains and iteratively self-improve, gaining about 2.5 points on average across five benchmarks.