1 citations · 1 across the 6 of their papers we have counts for
6 papers
J6: Jacobian-Driven Role Attribution for Multi-Objective Prompt Optimization in LLMs
Yao Wu
In large language model (LLM) adaptation, balancing multiple optimization objectives such as improving factuality (heat) and increasing confidence (via low entropy) poses a fundame…
QuarkMed Medical Foundation Model Technical Report
Ao Li, Bin Yan, Bingfeng Cai +16
Recent advancements in large language models have significantly accelerated their adoption in healthcare applications, including AI-powered medical consultations, diagnostic report…
Context and Pixel Aware Large Language Model for Video Quality Assessment
Wen Wen, Yaohong Wu, Yue Sheng +3
Video quality assessment (VQA) is a challenging research topic with broad applications. Traditional hand-crafted and discriminative learning-based VQA models mainly focus on pixel-…
CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP
Zuo Zuo, Jiahao Dong, Yao Wu +2
Industrial anomaly classification (AC) is an indispensable task in industrial manufacturing, which guarantees quality and safety of various product. To address the scarcity of data…
CLIP3D-AD: Extending CLIP for 3D Few-Shot Anomaly Detection with Multi-View Images Generation
Zuo Zuo, Jiahao Dong, Yao Wu +2
Few-shot anomaly detection methods can effectively address data collecting difficulty in industrial scenarios. Compared to 2D few-shot anomaly detection (2D-FSAD), 3D few-shot anom…
Anomaly Multi-classification in Industrial Scenarios: Transferring Few-shot Learning to a New Task
Jie Liu, Yao Wu, Xiaotong Luo +1
In industrial scenarios, it is crucial not only to identify anomalous items but also to classify the type of anomaly. However, research on anomaly multi-classification remains larg…