3 papers
cs.CL2026
Evaluating an evidence-guided reinforcement learning framework in aligning light-parameter large language models with decision-making cognition in psychiatric clinical reasoning
Xinxin Lin, Guangxin Dai, Yi Zhong +20
Large language models (LLMs) hold transformative potential for medical decision support yet their application in psychiatry remains constrained by hallucinations and superficial re…
cs.CV2025
Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields
Zhenxing Mi, Ping Yin, Xue Xiao +1
Recent NeRF methods on large-scale scenes have underlined the importance of scene decomposition for scalable NeRFs. Although achieving reasonable scalability, there are several cri…
cs.AI2025
Enhancing the Capabilities of Large Language Models for API calls through Knowledge Graphs
Ye Yang, Xue Xiao, Ping Yin +1
API calls by large language models (LLMs) offer a cutting-edge approach for data analysis. However, their ability to effectively utilize tools via API calls remains underexplored i…