AIBullisharXiv – CS AI · Apr 77/10
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Cog-DRIFT: Exploration on Adaptively Reformulated Instances Enables Learning from Hard Reasoning Problems
Researchers introduce Cog-DRIFT, a new framework that improves AI language model reasoning by transforming difficult problems into easier formats like multiple-choice questions, then gradually training models on increasingly complex versions. The method shows significant performance gains of 8-10% on previously unsolvable problems across multiple reasoning benchmarks.
🧠 Llama