Reading Comprehension on PhotoChat

Metric: Precision (higher is better)

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#	Model↕	Precision▼	Extra Data	Paper	Date↕	Code
1	PaCE	63.3	No	PaCE: Unified Multi-modal Dialogue Pre-training ...	2023-05-24	Code
2	T5-base	58.2	No	Exploring the Limits of Transfer Learning with a...	2019-10-23	Code
3	BERT	56.1	No	BERT: Pre-training of Deep Bidirectional Transfo...	2018-10-11	Code
4	ViLT	55.4	No	ViLT: Vision-and-Language Transformer Without Co...	2021-02-05	Code
5	T5-3B	54.1	No	Exploring the Limits of Transfer Learning with a...	2019-10-23	Code
6	ALBERT-base	44.8	No	ALBERT: A Lite BERT for Self-supervised Learning...	2019-09-26	Code

#1PaCESOTA
63.3
Precision· 2023-05-24
PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts Code
#2T5-baseSOTA
58.2
Precision· 2019-10-23
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Code
#3BERTSOTA
56.1
Precision· 2018-10-11
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Code
#4ViLT
55.4
Precision· 2021-02-05
ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision Code
#5T5-3B
54.1
Precision· 2019-10-23
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Code
#6ALBERT-base
44.8
Precision· 2019-09-26
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Code