2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2025★ 2 cited
Baichuan-M2: Scaling Medical Capability with Large Verifier System
M2 Team, Chengfeng Dou, Chong Liu +31
As large language models (LLMs) advance in conversational and reasoning capabilities, their practical application in healthcare has become a critical research focus. However, there…
cs.CV2025
Research on Audio-Visual Quality Assessment Dataset and Method for User-Generated Omnidirectional Video
Fei Zhao, Da Pan, Zelu Qi +1
In response to the rising prominence of the Metaverse, omnidirectional videos (ODVs) have garnered notable interest, gradually shifting from professional-generated content (PGC) to…
cs.CV2025
Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model
Zelu Qi, Ping Shi, Chaoyang Zhang +4
The development of AI-Generated Video (AIGV) technology has been remarkable in recent years, significantly transforming the paradigm of video content production. However, AIGVs sti…