10 citations · 21 across the 6 of their papers we have counts for
6 papers
Evo-PI: Aligning Medical Reasoning via Evolving Principle-Guided Supervision
Xianda Zheng, Huan Gao, Meng-Fen Chiang +3
Despite recent progress, the reasoning capabilities of large multimodal language models (MLLMs) remain fundamentally constrained by static supervision, where fixed prompts, rules,…
Beyond Classification Accuracy: Neural-MedBench and the Need for Deeper Reasoning Benchmarks
Miao Jing, Mengting Jia, Junling Lin +4
Recent advances in vision-language models (VLMs) have achieved remarkable performance on standard medical benchmarks, yet their true clinical reasoning ability remains unclear. Exi…
MedGR: Breaking the Data Barrier for Medical Reasoning via Generative Reward Learning
Weihai Zhi, Jiayan Guo, Shangyang Li
The application of Vision-Language Models (VLMs) in medicine is critically hampered by the scarcity of high-quality, expert-annotated data. Supervised Fine-Tuning (SFT) on existing…
Learning Robust Representation through Graph Adversarial Contrastive Learning
Jiayan Guo, Shangyang Li, Yue Zhao +1
Existing studies show that node representations generated by graph neural networks (GNNs) are vulnerable to adversarial attacks, such as unnoticeable perturbations of adjacent matr…
Tunable Dirac points and zero-energy modes in periodic curved graphene superlattices
Jianli Luan, Kaiyi Guo, Shangyang Li +3
We combined periodic ripples and electrostatic potentials to form curved graphene superlattices and studied the effects of space-dependent Fermi velocity induced from curvature on…
near new Dirac points in graphene superlattice
Jianli Luan, Shangyang Li, Tianxing Ma +1
New Dirac points appear when periodic potentials are applied to graphene, and there are many interesting effects near these new Dirac points. Here we investigate the $\textit{Zitte…