10 citations · 13 across the 6 of their papers we have counts for
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cs.IR2023
Back to Basics: A Simple Recipe for Improving Out-of-Domain Retrieval in Dense Encoders
Hyunji Lee, Luca Soldaini, Arman Cohan +2
Prevailing research practice today often relies on training dense retrievers on existing large datasets such as MSMARCO and then experimenting with ways to improve zero-shot genera…
cs.CL2023★ 10 cited
On Learning to Summarize with Large Language Models as References
Yixin Liu, Kejian Shi, Katherine S He +5
Recent studies have found that summaries generated by large language models (LLMs) are favored by human annotators over the original reference summaries in commonly used summarizat…