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Xingjun 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
Review Aug 2026

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle

This survey examines the protective paradigm that has grown around this intervention point, and finds that most protections are still validated mainly against static or weakly adaptive adversaries, while evidence beyond controlled benchmarks remains scarce.

Jiaming Zhang, Bo-Yang Chen, Zhe-Rui Li et al. · 0 citations

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