{"artifact":{"id":"art-flanpalm-20221020","canonical_url":"https://arxiv.org/abs/2210.11416","artifact_type":"paper_preprint","title":"Scaling Instruction-Finetuned Language Models","summary":"The study scaled instruction finetuning across model sizes and task collections, including chain-of-thought data, and released Flan-T5 checkpoints.","creator_entities":["Google Research"],"released_at":"2022-10-20T16:58:32.000Z","content_hash":null,"metadata":{"historical_scope":"2022-Q4"},"created_at":"2026-10-03T14:45:10.907Z","updated_at":"2026-10-03T14:45:10.907Z"},"sources":[{"id":"src-arxiv-flanpalm-20221020","name":"Scaling Instruction-Finetuned Language Models","publisher":"arXiv","url":"https://arxiv.org/abs/2210.11416","source_type":"paper_preprint","primary_or_secondary":"primary","retrieved_at":"2026-10-03T14:26:11.000Z","published_at":"2022-10-20T16:58:32.000Z","author":"Hyung Won Chung et al.","metadata":{"language":"en","jurisdiction":"global","time_precision":"second"},"created_at":"2026-10-03T14:45:10.902Z","updated_at":"2026-10-03T14:45:10.902Z"}]}