AIBullisharXiv – CS AI · 4h ago6/10
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Cycle-Consistent Search: Question Reconstructability as a Proxy Reward for Search Agent Training
Researchers propose Cycle-Consistent Search (CCS), a novel framework for training search agents using reinforcement learning without requiring gold-standard labeled data. The method leverages question reconstructability as a reward signal, using information bottlenecks to ensure agents learn from genuine search quality rather than surface-level linguistic patterns.