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Haoxuan Ma

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#natural language process... Preprint Jul 2026

Search-G1: Grounded Search Agents via Representation-Based Intrinsic Rewards

Experiments show that Search-G1 improves the grounding--search-cost trade-off, producing shorter response-side trajectories at competitive task accuracy and periodically refits both readouts on trajectories from the latest checkpoint, allowing the reward to co-evolve with the policy.

Ruoxi Cheng, Haoxuan Ma, Hongyi Zhang et al. · 0 citations

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