ML Research Wiki / Benchmarks / Question Answering / CODAH

CODAH

Question Answering Benchmark

Performance Over Time

📊 Showing 2 results | 📏 Metric: Accuracy

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Model	Paper	Accuracy	Date	Actions
G-DAUG-Combo + RoBERTa-Large	Generative Data Augmentation for Commonsense Reas…	84.00	2020-04-24
BERT Large	CODAH: An Adversarially Authored Question-Answer …	69.60	2019-04-08

Rank	Model	Paper	Accuracy	Date	Code
1	G-DAUG-Combo + RoBERTa-Large	Generative Data Augmentation for Commonsense Reasoning	84.00	2020-04-24	📦 yangyiben/G-DAUG-c-Generative-Data-Augmentation-for-Commonsense-Reasoning
2	BERT Large 📚	CODAH: An Adversarially Authored Question-Answer Dataset for Common Sense	69.60	2019-04-08	📦 Websail-NU/AQuA 📦 iit-nlp-research/chatgpt-crawler

2020

G-DAUG-Combo + RoBERTa-Large

yangyiben/G-DAUG-c-Generative-Data-Augmentation-for-Commonsense-Reasoning

2019

BERT Large

Websail-NU/AQuA iit-nlp-research/chatgpt-crawler