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SotA/Natural Language Processing/Question Answering/TyDiQA-GoldP

Question Answering on TyDiQA-GoldP

Metric: F1 (higher is better)

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#Model↕F1▼Extra DataPaperDate↕Code
1U-PaLM 62B (fine-tuned)88.5NoTranscending Scaling Laws with 0.1% Extra Compute2022-10-20-
2ByT5 XXL75.3NoByT5: Towards a token-free future with pre-train...2021-05-28Code
3PaLM 2-L (one-shot)73.6NoPaLM 2 Technical Report2023-05-17Code
4PaLM 2-S (one-shot)73.3NoPaLM 2 Technical Report2023-05-17Code
5PaLM 2-M (one-shot)73.3NoPaLM 2 Technical Report2023-05-17Code
6Decoupled58.1NoRethinking embedding coupling in pre-trained lan...2020-10-24Code