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SotA/Natural Language Processing/Question Answering/TrecQA

Question Answering on TrecQA

Metric: MRR (higher is better)

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#Model↕MRR▼Extra DataPaperDate↕Code
1RLAS-BIABC0.998NoRLAS-BIABC: A Reinforcement Learning-Based Answe...2023-01-07-
2RLAS-BIABC0.998NoRLAS-BIABC: A Reinforcement Learning-Based Answe...2023-01-07-
3TANDA DeBERTa-V3-Large + ALL0.984YesStructural Self-Supervised Objectives for Transf...2023-09-15Code
4TANDA-RoBERTa (ASNQ, TREC-QA)0.974YesTANDA: Transfer and Adapt Pre-Trained Transforme...2019-11-11Code
5RoBERTa-Base Joint + MSPP0.952NoParagraph-based Transformer Pre-training for Mul...2022-05-02Code
6RoBERTa-Base + PSD0.951NoPre-training Transformer Models with Sentence-Le...2022-05-20-
7DeBERTa-V3-Large + SSP0.946NoPre-training Transformer Models with Sentence-Le...2022-05-20-
8Contextual DeBERTa-V3-Large + SSP0.945YesContext-Aware Transformer Pre-Training for Answe...2023-05-24-
9Comp-Clip + LM + LC0.928NoA Compare-Aggregate Model with Latent Clustering...2019-05-30-
10HyperQA0.825NoHyperbolic Representation Learning for Fast and ...2017-07-25Code
11PWIN0.8219No---
12aNMM0.811NoaNMM: Ranking Short Answer Texts with Attention-...2018-01-05Code
13CNN0.785NoDeep Learning for Answer Sentence Selection2014-12-04Code
14NLP-Capsule0.7416NoTowards Scalable and Reliable Capsule Networks f...2019-06-06Code