Question Answering on ELI5

Metric: Rouge-2 (higher is better)

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#	Model↕	Rouge-2▼	Extra Data	Paper	Date↕	Code
1	QG	10.36	No	Closed-book Question Generation via Contrastive ...	2022-10-13	Code
2	BART	6.2	No	BART: Denoising Sequence-to-Sequence Pre-trainin...	2019-10-29	Code
3	E-MCA	5.8	No	Using Local Knowledge Graph Construction to Scal...	2019-10-18	Code
4	Transformer Multitask + LayerDrop	5.5	No	Reducing Transformer Depth on Demand with Struct...	2019-09-25	Code
5	Multi-Inrerleave	4.79	No	Improving Conditioning in Context-Aware Sequence...	2019-11-21	-

#1QGSOTA
10.36
Rouge-2· 2022-10-13
Closed-book Question Generation via Contrastive Learning Code
#2BARTSOTA
6.2
Rouge-2· 2019-10-29
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension Code
#3E-MCASOTA
5.8
Rouge-2· 2019-10-18
Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi-Document Inputs Code
#4Transformer Multitask + LayerDropSOTA
5.5
Rouge-2· 2019-09-25
Reducing Transformer Depth on Demand with Structured Dropout Code
#5Multi-Inrerleave
4.79
Rouge-2· 2019-11-21
Improving Conditioning in Context-Aware Sequence to Sequence Models