most citedThink Twice to See More: Iterative Visual Reasoning in Medical VLMs

1 citations · 1 across the 6 of their papers we have counts for

collaborators

10 papers

cs.AI2026

Beyond Static Tools: Test-Time Tool Evolution for Scientific Reasoning

Jiaxuan Lu, Ziyu Kong, Yemin Wang +10

The central challenge of AI for Science is not reasoning alone, but the ability to create computational methods in an open-ended scientific world. Existing LLM-based agents rely on…

cs.AI2025

SCP: Accelerating Discovery with a Global Web of Autonomous Scientific Agents

Yankai Jiang, Wenjie Lou, Lilong Wang +17

We introduce SCP: the Science Context Protocol, an open-source standard designed to accelerate discovery by enabling a global network of autonomous scientific agents. SCP is built…

cs.CV20251 cited

Think Twice to See More: Iterative Visual Reasoning in Medical VLMs

Kaitao Chen, Shaohao Rui, Yankai Jiang +6

Medical vision-language models (VLMs) excel at image-text understanding but typically rely on a single-pass reasoning that neglects localized visual cues. In clinical practice, how…

cs.AI2025

Unleashing Scientific Reasoning for Bio-experimental Protocol Generation via Structured Component-based Reward Mechanism

Haoran Sun, Yankai Jiang, Zhenyu Tang +8

The foundation of reproducible science lies in protocols that are precise, logically ordered, and executable. The autonomous generation of these protocols through natural language…

cs.AI2025

Mediator-Guided Multi-Agent Collaboration among Open-Source Models for Medical Decision-Making

Kaitao Chen, Mianxin Liu, Daoming Zong +5

Complex medical decision-making involves cooperative workflows operated by different clinicians. Designing AI multi-agent systems can expedite and augment human-level clinical deci…

cs.CV2025

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification

Yuan Tian, Shuo Wang, Rongzhao Zhang +8

Medical imaging has significantly advanced computer-aided diagnosis, yet its re-identification (ReID) risks raise critical privacy concerns, calling for de-identification (DeID) te…