1.2k citations · 1.3k across the 14 of their papers we have counts for
Showing 2023 · cs.CLShow all
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cs.CL2023★ 2 cited
The Magic of IF: Investigating Causal Reasoning Abilities in Large Language Models of Code
Xiao Liu, Da Yin, Chen Zhang +2
Causal reasoning, the ability to identify cause-and-effect relationship, is crucial in human thinking. Although large language models (LLMs) succeed in many NLP tasks, it is still…
cs.CL2023★ 1 cited
Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation
Da Yin, Xiao Liu, Fan Yin +4
Instruction tuning has emerged to enhance the capabilities of large language models (LLMs) to comprehend instructions and generate appropriate responses. Existing methods either ma…
cs.CL2023★ 4 cited
KPEval: Towards Fine-Grained Semantic-Based Keyphrase Evaluation
Di Wu, Da Yin, Kai-Wei Chang
Despite the significant advancements in keyphrase extraction and keyphrase generation methods, the predominant approach for evaluation mainly relies on exact matching with human re…