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TrecQA
Question Answering on TrecQA
Metric: MRR (higher is better)
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#
Model
↕
MRR
▼
Extra Data
Paper
Date
↕
Code
1
RLAS-BIABC
0.998
No
RLAS-BIABC: A Reinforcement Learning-Based Answe...
2023-01-07
-
2
RLAS-BIABC
0.998
No
RLAS-BIABC: A Reinforcement Learning-Based Answe...
2023-01-07
-
3
TANDA DeBERTa-V3-Large + ALL
0.984
Yes
Structural Self-Supervised Objectives for Transf...
2023-09-15
Code
4
TANDA-RoBERTa (ASNQ, TREC-QA)
0.974
Yes
TANDA: Transfer and Adapt Pre-Trained Transforme...
2019-11-11
Code
5
RoBERTa-Base Joint + MSPP
0.952
No
Paragraph-based Transformer Pre-training for Mul...
2022-05-02
Code
6
RoBERTa-Base + PSD
0.951
No
Pre-training Transformer Models with Sentence-Le...
2022-05-20
-
7
DeBERTa-V3-Large + SSP
0.946
No
Pre-training Transformer Models with Sentence-Le...
2022-05-20
-
8
Contextual DeBERTa-V3-Large + SSP
0.945
Yes
Context-Aware Transformer Pre-Training for Answe...
2023-05-24
-
9
Comp-Clip + LM + LC
0.928
No
A Compare-Aggregate Model with Latent Clustering...
2019-05-30
-
10
HyperQA
0.825
No
Hyperbolic Representation Learning for Fast and ...
2017-07-25
Code
11
PWIN
0.8219
No
-
-
-
12
aNMM
0.811
No
aNMM: Ranking Short Answer Texts with Attention-...
2018-01-05
Code
13
CNN
0.785
No
Deep Learning for Answer Sentence Selection
2014-12-04
Code
14
NLP-Capsule
0.7416
No
Towards Scalable and Reliable Capsule Networks f...
2019-06-06
Code
#1
RLAS-BIABC
SOTA
0.998
MRR
· 2023-01-07
RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC Algorithm
#2
RLAS-BIABC
0.998
MRR
· 2023-01-07
RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC Algorithm
#3
TANDA DeBERTa-V3-Large + ALL
0.984
MRR
· Extra Data
· 2023-09-15
Structural Self-Supervised Objectives for Transformers
Code
#4
TANDA-RoBERTa (ASNQ, TREC-QA)
SOTA
0.974
MRR
· Extra Data
· 2019-11-11
TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection
Code
#5
RoBERTa-Base Joint + MSPP
0.952
MRR
· 2022-05-02
Paragraph-based Transformer Pre-training for Multi-Sentence Inference
Code
#6
RoBERTa-Base + PSD
0.951
MRR
· 2022-05-20
Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection
#7
DeBERTa-V3-Large + SSP
0.946
MRR
· 2022-05-20
Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection
#8
Contextual DeBERTa-V3-Large + SSP
0.945
MRR
· Extra Data
· 2023-05-24
Context-Aware Transformer Pre-Training for Answer Sentence Selection
#9
Comp-Clip + LM + LC
SOTA
0.928
MRR
· 2019-05-30
A Compare-Aggregate Model with Latent Clustering for Answer Selection
#10
HyperQA
SOTA
0.825
MRR
· 2017-07-25
Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering
Code
#11
PWIN
0.8219
MRR
No paper
#12
aNMM
0.811
MRR
· 2018-01-05
aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching Model
Code
#13
CNN
SOTA
0.785
MRR
· 2014-12-04
Deep Learning for Answer Sentence Selection
Code
#14
NLP-Capsule
0.7416
MRR
· 2019-06-06
Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications
Code