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From the 2 of 22 linked papers with an AI index.

collaborators

22 papers

cs.AI2026

Evidence-Grounded AI for Musculoskeletal Care

Wenjie Li, Yujie Zhang, Fanrui Zhang +34

The paper presents OrthoPilot, a clinical AI system powered by a large language model that integrates real-time hospital data and external medical knowledge to provide evidence‑bas…

cs.CV2026

EvoGraph-R1: Self-Evolving Multimodal Knowledge Hypergraphs for Agentic Retrieval

Jiashi Lin, Changhong Jiang, Xiangru Lin +12

The paper proposes EvoGraph-R1, a framework that lets a retrieval agent dynamically evolve multimodal knowledge hypergraphs through actions like retrieval, web search, and graph ed…

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…

cs.CV2026

UniMedVL: Unifying Medical Multimodal Understanding and Generation through Observation-Knowledge-Analysis

Junzhi Ning, Wei Li, Cheng Tang +24

Medical workflows routinely combine reading images with producing visual and textual outputs, making both image understanding and generation central to medical AI. Most existing sy…

cs.AI2026

CuSearch: Curriculum Rollout Sampling via Search Depth for Agentic RAG

Jianghan Shen, Siqi Luo, Xinyu Cheng +6

Reinforcement Learning with Verifiable Rewards (RLVR) has emerged as a promising paradigm for training agentic retrieval-augmented generation (RAG) systems from outcome-only superv…

cs.CV2026

MMRareBench: A Rare-Disease Multimodal and Multi-Image Medical Benchmark

Junzhi Ning, Jiashi Lin, Yingying Fang +9

Multimodal large language models (MLLMs) have advanced clinical tasks for common conditions, but their performance on rare diseases remains largely untested. In rare-disease scenar…