18 citations · 48 across the 11 of their papers we have counts for
Showing 2023 · cs.CLShow all
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cs.CL2023★ 1 cited
Prompting a Large Language Model to Generate Diverse Motivational Messages: A Comparison with Human-Written Messages
Samuel Rhys Cox, Ashraf Abdul, Wei Tsang Ooi
Large language models (LLMs) are increasingly capable and prevalent, and can be used to produce creative content. The quality of content is influenced by the prompt used, with more…
cs.CL2023★ 6 cited
SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning
Keyu Duan, Qian Liu, Tat-Seng Chua +4
Textual graphs (TGs) are graphs whose nodes correspond to text (sentences or documents), which are widely prevalent. The representation learning of TGs involves two stages: (i) uns…