OneSearch-MI-Bench
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- OneSearch-VL: a unified multimodal deep research agent for images and video
A new arXiv paper introduces OneSearch-VL, which centers on a Visually Grounded Evidence Graph (VGEG) that links localized visual anchors, entity relations, source-supported facts and answer-producing operations so that single-image, multi-image and video deep research can share one workflow of grounding, retrieval and fact composition. The authors use VGEG to build the OneSearch-VL-SFT-110K and OneSearch-VL-RL-10K training sets, an evidence-aware reward (EVGR) for RL, plus the OneSearch-MI-Bench and OneSearch-Video-Bench evaluations. They report that OneSearch-VL-8B beats Qwen3-VL-8B with tool access by 20.2 and 17.6 percentage points on the two new benchmarks, and also gains across 7 image benchmarks and VideoDR.
Hugging Face · Papers · 🔥 0
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