7 citations · 10 across the 12 of their papers we have counts for
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cs.IR2024
SetCSE: Set Operations using Contrastive Learning of Sentence Embeddings
Kang Liu
Taking inspiration from Set Theory, we introduce SetCSE, an innovative information retrieval framework. SetCSE employs sets to represent complex semantics and incorporates well-def…
cs.CL2024★ 1 cited
KS-LLM: Knowledge Selection of Large Language Models with Evidence Document for Question Answering
Xinxin Zheng, Feihu Che, Jinyang Wu +4
Large language models (LLMs) suffer from the hallucination problem and face significant challenges when applied to knowledge-intensive tasks. A promising approach is to leverage ev…
cs.CL2024★ 7 cited
OncoGPT: A Medical Conversational Model Tailored with Oncology Domain Expertise on a Large Language Model Meta-AI (LLaMA)
Fujian Jia, Xin Liu, Lixi Deng +6
In the past year, there has been a growing trend in applying Large Language Models (LLMs) to the field of medicine, particularly with the advent of advanced language models such as…