HyperAI超神経
ホームニュース最新論文チュートリアルデータセット百科事典SOTALLMモデルGPU ランキング学会
検索
サイトについて
HyperAI超神経

Open Domain Question Answering On Searchqa

評価指標

F1

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名
F1
Paper TitleRepository
SpanBERT84.8SpanBERT: Improving Pre-training by Representing and Predicting Spans
Denoising QA64.5Denoising Distantly Supervised Open-Domain Question Answering
DecaProp63.6Densely Connected Attention Propagation for Reading Comprehension
DECAPROP-Densely Connected Attention Propagation for Reading Comprehension
Locality-Sensitive Hashing-Reformer: The Efficient Transformer
Sparse Attention-Generating Long Sequences with Sparse Transformers
Multi-passage BERT-Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering-
Cluster-Former (#C=512)-Cluster-Former: Clustering-based Sparse Transformer for Long-Range Dependency Encoding-
Bi-Attention + DCU-LSTM-Multi-Granular Sequence Encoding via Dilated Compositional Units for Reading Comprehension-
Focused Hierarchical RNN-Focused Hierarchical RNNs for Conditional Sequence Processing-
AMANDA-A Question-Focused Multi-Factor Attention Network for Question Answering
ASR-Text Understanding with the Attention Sum Reader Network
R^355.3R$^3$: Reinforced Reader-Ranker for Open-Domain Question Answering
DrQA-Reading Wikipedia to Answer Open-Domain Questions
0 of 14 row(s) selected.