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Clip: Published as a conference paper at ICLR 2024 SELF-ALIGNMENT WITH INSTRUCTIONBACKTRANS- LATION Xian Li, Ping Yu, Chunting Zhou, Timo Schick, Omer Levy, Luke Zettlemoyer Jason Weston&Mike Lewis Meta {xianl,jase,mikelewis}@meta.com ABSTRACT We present a scalable method to build a high quality instruction following language model by automatically labelling human-written text with corresponding instruc- tions. Our approach, namedinstruction backtranslation, starts with a language model finetuned on a small amount of seed data, and a given web corpus. The seed model is used to construct training examples by generating instruction prompts for web documents (self-augmentation), and then selecting high quality examples from among these candidates (self-curation). This data is then used to finetune

Filename: 2308.06259.pdf

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