Author

Chong Chen

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Jul 2026

VIG-RL: Learning to Search and Insert for Verified Image Grounding

VIG-RL is an autonomous agentic framework that formulates the search-selection-insertion workflow as an active decision-making process, guided by a composite reward system that holistically evaluates the agent's step-by-step tool execution and final multimodal alignment.

Qinhan Yu, Jun Guang, Chong Chen et al. · arXiv.org · 0 citations

Preprint Aug 2026

DeepVoyager-VL: Incentivizing Vision-in-the-Loop Search for Long-Horizon Multimodal Agents

DeepVoyager-VL is proposed, a long-horizon multimodal deep-search framework for vision-in-the-loop search that constructs a multimodal event graph to drive data synthesis, yielding problems with intermediate visual dependencies and long reasoning chains.

Huan-Yao Zhang, Jie-Peng Zhou, Ru Zhao et al. · 0 citations