Harvard (Yilun Du et al.) · Research Paper
Bidirectional Evolutionary Search (BES)
Self-improvement search framework coupling forward candidate evolution (recombining partial trajectories) with backward goal decomposition into checkable subgoals for dense feedback. Improves on best-of-N and tree search where mainstream post-training fails; tops open-source frameworks on three open problem-solving benchmarks.
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