5 citations · 7 across the 6 of their papers we have counts for
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cs.CL2024★ 5 cited
Improving Scientific Hypothesis Generation with Knowledge Grounded Large Language Models
Guangzhi Xiong, Eric Xie, Amir Hassan Shariatmadari +3
Large language models (LLMs) have demonstrated remarkable capabilities in various scientific domains, from natural language processing to complex problem-solving tasks. Their abili…
cs.CL2024★ 2 cited
IdeaBench: Benchmarking Large Language Models for Research Idea Generation
Sikun Guo, Amir Hassan Shariatmadari, Guangzhi Xiong +4
Large Language Models (LLMs) have transformed how people interact with artificial intelligence (AI) systems, achieving state-of-the-art results in various tasks, including scientif…