activity
20242026
most citedMedAide: Information Fusion and Anatomy of Medical Intents via LLM-based Agent Collaboration

2 citations · 3 across the 22 of their papers we have counts for

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8 papers · 1 filter

cs.AI2026

Beyond Instruction Following: Learning Grounded Skill-Following with Skill Contracts

Jianghan Shen, Zhenjie Liu, Yue Li +10

Instruction following typically enforces discrete, response-level requirements, whereas an expert-authored skill prescribes procedural requirements spanning multiple phases and env…

cs.CV2026

Towards Physics-Faithful Generation of Scientific Diagrams

Minghui Zhang, Jinxin Shi, Yifan Chang +12

Text-to-image generation has reached photorealistic quality, yet state-of-the-art systems remain unreliable at producing scientific diagrams, whose value depends not on appearance…

cs.AI2026

Evidence-Grounded AI for Musculoskeletal Care

Wenjie Li, Yujie Zhang, Fanrui Zhang +34

Musculoskeletal diseases are among the leading causes of disability and drive the greatest global need for rehabilitation. Because recovery, remodelling and degeneration of bones,…

cs.CV2026

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning

Cheng Tang, Junzhi Ning, Min Cen +9

Reinforcement learning with verifiable rewards (RLVR) drives multimodal reasoning, but answer-level correctness does not guarantee that a vision-language model grounds its predicti…

cs.AI2026

A First-Principles Derivation of LLM Policy Optimization: From Expected Reward to GRPO and Its Structural Extensions

Jianghan Shen, Siqi Luo, Yue Li +9

Policy gradient algorithms for language models optimize the same objective , which has exactly two factors: the trajectory probability $p_θ(…

cs.CV2026

MultiHaystack: Benchmarking Multimodal Retrieval and Reasoning over 40K Images, Videos, and Documents

Dannong Xu, Zhongyu Yang, Jun Chen +6

Multimodal large language models (MLLMs) achieve strong performance on benchmarks that evaluate text, image, or video understanding separately. However, these settings do not asses…

cs.CV2026

MedScope: Incentivizing "Think with Videos" for Clinical Reasoning via Coarse-to-Fine Tool Calling

Wenjie Li, Yujie Zhang, Haoran Sun +11

Long-form clinical videos are central to visual evidence-based decision-making, with growing importance for applications such as surgical robotics and related settings. However, cu…

cs.CV2026

HSD: Training-Free Acceleration for Document Parsing Vision-Language Models with Hierarchical Speculative Decoding

Wenhui Liao, Hongliang Li, Pengyu Xie +15

Document parsing is a fundamental task in multimodal understanding, supporting a wide range of downstream applications such as information extraction and intelligent document analy…