3 papers
cs.CL2026
Evaluating Clinical Competencies of Large Language Models with a General Practice Benchmark
Zheqing Li, Yiying Yang, Jiping Lang +16
Large Language Models (LLMs) have demonstrated considerable potential in general practice. However, existing benchmarks and evaluation frameworks primarily depend on exam-style or…
cs.RO2025
Learning Physics-Based Full-Body Human Reaching and Grasping from Brief Walking References
Yitang Li, Mingxian Lin, Zhuo Lin +3
Existing motion generation methods based on mocap data are often limited by data quality and coverage. In this work, we propose a framework that generates diverse, physically feasi…
cs.LG2024
Parameter Efficient Reinforcement Learning from Human Feedback
Hakim Sidahmed, Samrat Phatale, Alex Hutcheson +16
While Reinforcement Learning from Human Feedback (RLHF) effectively aligns pretrained Large Language and Vision-Language Models (LLMs, and VLMs) with human preferences, its computa…