CommonGen
A Constrained Text Generation Challengefor Generative Commonsense Reasoning
Bill Yuchen Lin, Wangchunshu Zhou, Ming Shen, Pei Zhou, Chandra Bhagavatula, Yejin Choi, Xiang Ren
Rank | Model | BLEU-4 | METEOR | CIDEr | SPICE |
---|---|---|---|---|---|
1 Aug 26, 2020 |
KG-BART University of Illinois at Chicago |
30.9 | 32.4 | 16.83 | 32.70 |
2 Oct 12, 2020 |
EKI-BART MSRA and Fudan University |
32.5 | 32.4 | 16.84 | 32.40 |
3 Jun 1, 2020 |
T5-Large Fine-tuned by USC-INK T5 Paper |
28.60 | 30.10 | 14.96 | 31.60 |
4 Jun 1, 2020 |
BART Fine-tuned by USC-INK BART Paper |
26.30 | 30.90 | 13.92 | 30.60 |
5 Jun 1, 2020 |
UniLM Fine-tuned by USC-INK UniLM Paper |
27.70 | 29.70 | 14.85 | 30.20 |
6 Jun 1, 2020 |
T5-Base Fine-tuned by USC-INK T5 Paper |
16.40 | 23.00 | 9.16 | 22.00 |
7 Jun 1, 2020 |
BERT-Gen Fine-tuned by USC-INK Code |
21.10 | 27.30 | 12.49 | 27.30 |
8 Jun 1, 2020 |
GPT-2 Fine-tuned by USC-INK GPT-2 Paper |
21.10 | 26.20 | 12.15 | 25.90 |
* These models were used as baseline methods in our paper, which were fine-tuned on the training data of CommonGen by us.
Submit to this leaderboard: You can submit your prediction by sending email to yuchen.lin@usc.edu with the title "CommonGen submission (your model name)" and the same format of this example prediction file.
@article{lin20comgen,
author = {Bill Yuchen Lin and Wangchunshu Zhou and Ming Shen and Pei Zhou and Chandra Bhagavatula and Yejin Choi and Xiang Ren},
title = {CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning},
journal = {Findings of EMNLP},
year = {2020},
}