"FLawN-T5: An Empirical Examination of Effective Instruction-Tuning Data ..."

Joel Niklaus et al. (2024)

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DOI: 10.48550/ARXIV.2404.02127

access: open

type: Informal or Other Publication

metadata version: 2024-05-13

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  - journals/corr/abs-2404-02127
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  - https://dblp.org/rec/journals/corr/abs-2404-02127
Joel Niklaus, Lucia Zheng, Arya D. McCarthy, Christopher Hahn, Brian M. Rosen, Peter Henderson, Daniel E. Ho, Garrett Honke, Percy Liang, Christopher D. Manning:
FLawN-T5: An Empirical Examination of Effective Instruction-Tuning Data Mixtures for Legal Reasoning. CoRR abs/2404.02127 (2024)

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