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SotA/Natural Language Processing/Question Answering/ConvFinQA

Question Answering on ConvFinQA

Metric: Execution Accuracy (higher is better)

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#Model↕Execution Accuracy▼Extra DataPaperDate↕Code
1APOLLO78.76NoAPOLLO: An Optimized Training Approach for Long-...2022-12-14Code
2GPT-4 (8k)76.48NoAre ChatGPT and GPT-4 General-Purpose Solvers fo...2023-05-10-
3FinQANet (RoBERTa-large)68.9NoConvFinQA: Exploring the Chain of Numerical Reas...2022-10-07Code
4FinQANet (RoBERTa-large)68.9NoConvFinQA: Exploring the Chain of Numerical Reas...2022-10-07Code
5General Crowd46.9NoAre ChatGPT and GPT-4 General-Purpose Solvers fo...2023-05-10-