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SotA/Natural Language Processing/Common Sense Reasoning/BIG-bench (Sports Understanding)

Common Sense Reasoning on BIG-bench (Sports Understanding)

Metric: Accuracy (higher is better)

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#Model↕Accuracy▼Extra DataPaperDate↕Code
1PaLM 2(few-shot, k=3, CoT)98NoPaLM 2 Technical Report2023-05-17Code
2PaLM 2 (few-shot, k=3, Direct)90.8NoPaLM 2 Technical Report2023-05-17Code
3PaLM 540B (few-shot, k=3)80.4NoBloombergGPT: A Large Language Model for Finance2023-03-30Code
4Chinchilla-70B (few-shot, k=5)71NoTraining Compute-Optimal Large Language Models2022-03-29Code
5Bloomberg GPT (few-shot, k=3)62.8NoBloombergGPT: A Large Language Model for Finance2023-03-30Code
6Gopher-280B (few-shot, k=5)54.9NoScaling Language Models: Methods, Analysis & Ins...2021-12-08Code
7OPT 66B (few-shot, k=3)54.4NoBloombergGPT: A Large Language Model for Finance2023-03-30Code
8GPT-NeoX (few-shot, k=3)53.2NoBloombergGPT: A Large Language Model for Finance2023-03-30Code