7 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CL2024
Learning to Solve Domain-Specific Calculation Problems with Knowledge-Intensive Programs Generator
Chengyuan Liu, Shihang Wang, Lizhi Qing +4
Domain Large Language Models (LLMs) are developed for domain-specific tasks based on general LLMs. But it still requires professional knowledge to facilitate the expertise for some…
cs.CL2024★ 7 cited
Reinforcement Learning Enhanced LLMs: A Survey
Shuhe Wang, Shengyu Zhang, Jie Zhang +7
Reinforcement learning (RL) enhanced large language models (LLMs), particularly exemplified by DeepSeek-R1, have exhibited outstanding performance. Despite the effectiveness in imp…
cs.CV2024
ProGraph: Temporally-alignable Probability Guided Graph Topological Modeling for 3D Human Reconstruction
Hongsheng Wang, Zehui Feng, Tong Xiao +4
Current 3D human motion reconstruction methods from monocular videos rely on features within the current reconstruction window, leading to distortion and deformations in the human…