41 citations · 63 across the 9 of their papers we have counts for
Showing 2024 · cs.CLShow all
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cs.CL2024★ 2 cited
FineTuneBench: How well do commercial fine-tuning APIs infuse knowledge into LLMs?
Eric Wu, Kevin Wu, James Zou
There is great interest in fine-tuning frontier large language models (LLMs) to inject new information and update existing knowledge. While commercial LLM fine-tuning APIs from pro…
cs.CL2024★ 4 cited
ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidence
Kevin Wu, Eric Wu, James Zou
Retrieval augmented generation (RAG) is frequently used to mitigate hallucinations and provide up-to-date knowledge for large language models (LLMs). However, given that document r…
cs.CL2024★ 41 cited
How well do LLMs cite relevant medical references? An evaluation framework and analyses
Kevin Wu, Eric Wu, Ally Cassasola +7
Large language models (LLMs) are currently being used to answer medical questions across a variety of clinical domains. Recent top-performing commercial LLMs, in particular, are al…