9 citations · 17 across the 2 of their papers we have counts for
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cs.CL2023
How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources
Yizhong Wang, Hamish Ivison, Pradeep Dasigi +8
In this work we explore recent advances in instruction-tuning language models on a range of open instruction-following datasets. Despite recent claims that open models can be on pa…
cs.CL2017★ 9 cited
Topic supervised non-negative matrix factorization
Kelsey MacMillan, James D. Wilson
Topic models have been extensively used to organize and interpret the contents of large, unstructured corpora of text documents. Although topic models often perform well on traditi…