214 citations · 471 across the 7 of their papers we have counts for
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cs.CL2024★ 44 cited
Language agents achieve superhuman synthesis of scientific knowledge
Michael D. Skarlinski, Sam Cox, Jon M. Laurent +6
Language models are known to hallucinate incorrect information, and it is unclear if they are sufficiently accurate and reliable for use in scientific research. We developed a rigo…
cs.CL2023★ 52 cited
PaperQA: Retrieval-Augmented Generative Agent for Scientific Research
Jakub Lála, Odhran O'Donoghue, Aleksandar Shtedritski +3
Large Language Models (LLMs) generalize well across language tasks, but suffer from hallucinations and uninterpretability, making it difficult to assess their accuracy without grou…