6 citations · 51 across the 54 of their papers we have counts for
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cs.CL2023★ 5 cited
Large Language Models are Zero Shot Hypothesis Proposers
Biqing Qi, Kaiyan Zhang, Haoxiang Li +4
Significant scientific discoveries have driven the progress of human civilisation. The explosion of scientific literature and data has created information barriers across disciplin…
cs.CL2023★ 1 cited
CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model
Kaiyan Zhang, Ning Ding, Biqing Qi +3
Instruction tuning has recently been recognized as an effective way of aligning Large Language Models (LLMs) to enhance their generalization ability across various tasks. However,…
cs.CL2023★ 5 cited
PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuning
Xuekai Zhu, Biqing Qi, Kaiyan Zhang +3
While large language models (LLMs) excel in various natural language processing tasks, their huge size and the inaccessibility of parameters present challenges for practical deploy…