An Empirical Comparison of LM-based Question and Answer Generation Methods

26 May 2023

Papers citing "An Empirical Comparison of LM-based Question and Answer Generation Methods"

14 / 14 papers shown

Title
Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs Nicolas Boizard Kevin El Haddad C´eline Hudelot Pierre Colombo 113 17 0 28 Jan 2025
MixQG: Neural Question Generation with Mixed Answer Types Lidiya Murakhovs'ka Chien-Sheng Wu Philippe Laban Tong Niu Wenhao Liu Caiming Xiong 40 48 0 15 Oct 2021
Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation Max Bartolo Tristan Thrush Robin Jia Sebastian Riedel Pontus Stenetorp Douwe Kiela AAML 71 103 0 18 Apr 2021
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP Timo Schick Sahana Udupa Hinrich Schütze 302 384 0 28 Feb 2021
PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them Patrick Lewis Yuxiang Wu Linqing Liu Pasquale Minervini Heinrich Küttler Aleksandra Piktus Pontus Stenetorp Sebastian Riedel RALM 95 234 0 13 Feb 2021
End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems Siamak Shakeri Cicero Nogueira dos Santos He Zhu Patrick Ng Feng Nan Zhiguo Wang Ramesh Nallapati Bing Xiang OOD 50 103 0 12 Oct 2020
The Effect of Natural Distribution Shift on Question Answering Models John Miller K. Krauth Benjamin Recht Ludwig Schmidt OOD 82 144 0 29 Apr 2020
Training Question Answering Models From Synthetic Data Raul Puri Ryan Spring M. Patwary Mohammad Shoeybi Bryan Catanzaro ELM 72 159 0 22 Feb 2020
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter Victor Sanh Lysandre Debut Julien Chaumond Thomas Wolf 218 7,498 0 02 Oct 2019
Harvesting Paragraph-Level Question-Answer Pairs from Wikipedia Xinya Du Claire Cardie KELM 55 161 0 15 May 2018
Learning to Ask: Neural Question Generation for Reading Comprehension Xinya Du Junru Shao Claire Cardie 3DV 143 664 0 29 Apr 2017
Neural Question Generation from Text: A Preliminary Study Qingyu Zhou Nan Yang Furu Wei Chuanqi Tan Hangbo Bao M. Zhou 58 335 0 06 Apr 2017
SQuAD: 100,000+ Questions for Machine Comprehension of Text Pranav Rajpurkar Jian Zhang Konstantin Lopyrev Percy Liang RALM 261 8,124 0 16 Jun 2016
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 417 20,541 0 10 Sep 2014