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20242026
most citedMany Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System

4 citations · 5 across the 15 of their papers we have counts for

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cs.CV2026

Self-Supervised Visual On-Policy Distillation

Yijiang Li, Yijun Liang, Yunjie Tian +6

Visual on-policy distillation relies heavily on an informative teacher-student asymmetry, through either a larger, stronger teacher or privileged supervision, such as reference ans…

cs.CV2026

Video-DeepResearch: Towards the Next-Generation Multimodal Deepresearch Agent

Zhen Fang, Yu Zeng, Wenxuan Huang +17

We introduce Video-DeepResearch (Video-DR), extending multimodal agents from static images to continuous video streams, a setting that demands dense spatiotemporal grounding couple…

cs.CV2026

Vision-DeepResearch Benchmark: Rethinking Visual and Textual Search for Multimodal Large Language Models

Yu Zeng, Wenxuan Huang, Zhen Fang +14

Multimodal Large Language Models (MLLMs) have advanced VQA and now support Vision-DeepResearch systems that use search engines for complex visual-textual fact-finding. However, eva…

cs.CV2026

Vision-DeepResearch: Incentivizing DeepResearch Capability in Multimodal Large Language Models

Wenxuan Huang, Yu Zeng, Qiuchen Wang +14

Multimodal large language models (MLLMs) have achieved remarkable success across a broad range of vision tasks. However, constrained by the capacity of their internal world knowled…

cs.CV2025

Interleaving Reasoning for Better Text-to-Image Generation

Wenxuan Huang, Shuang Chen, Zheyong Xie +15

Unified multimodal understanding and generation models recently have achieve significant improvement in image generation capability, yet a large gap remains in instruction followin…

cs.CV2025

CompBench: Benchmarking Complex Instruction-guided Image Editing

Bohan Jia, Wenxuan Huang, Yuntian Tang +14

While real-world applications increasingly demand intricate scene manipulation, existing instruction-guided image editing benchmarks often oversimplify task complexity and lack com…