16 citations · 54 across the 56 of their papers we have counts for
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cs.CV2023★ 2 cited
Automated Natural Language Explanation of Deep Visual Neurons with Large Models
Chenxu Zhao, Wei Qian, Yucheng Shi +2
Deep neural networks have exhibited remarkable performance across a wide range of real-world tasks. However, comprehending the underlying reasons for their effectiveness remains a…
cs.CL2023★ 8 cited
MKRAG: Medical Knowledge Retrieval Augmented Generation for Medical Question Answering
Yucheng Shi, Shaochen Xu, Tianze Yang +5
Large Language Models (LLMs), although powerful in general domains, often perform poorly on domain-specific tasks such as medical question answering (QA). In addition, LLMs tend to…
cs.IR2023★ 1 cited
Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendations
Xuansheng Wu, Huachi Zhou, Yucheng Shi +3
Recommendation systems help users find matched items based on their previous behaviors. Personalized recommendation becomes challenging in the absence of historical user-item inter…