Search Results for author: Kelsey MacMillan

Found 4 papers, 3 papers with code

How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources

2 code implementations NeurIPS 2023 Yizhong Wang, Hamish Ivison, Pradeep Dasigi, Jack Hessel, Tushar Khot, Khyathi Raghavi Chandu, David Wadden, Kelsey MacMillan, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi

Our evaluations show that the best model in any given evaluation reaches on average 87% of ChatGPT performance, and 73% of GPT-4 performance, suggesting that further investment in building better base models and instruction-tuning data is required to close the gap.

Instruction Following

Topic supervised non-negative matrix factorization

1 code implementation12 Jun 2017 Kelsey MacMillan, James D. Wilson

Topic models have been extensively used to organize and interpret the contents of large, unstructured corpora of text documents.

Topic Models

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