Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation

18 April 2021

Robin Jia

Douwe Kiela

Papers citing "Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation"

24 / 74 papers shown

Title
IDK-MRC: Unanswerable Questions for Indonesian Machine Reading Comprehension Rifki Afina Putri Alice H. Oh 30 9 0 25 Oct 2022
Bridging the Training-Inference Gap for Dense Phrase Retrieval Gyuwan Kim Jinhyuk Lee Barlas Oğuz Wenhan Xiong Yizhe Zhang Yashar Mehdad William Yang Wang 45 2 0 25 Oct 2022
Event-Centric Question Answering via Contrastive Learning and Invertible Event Transformation Junru Lu Xingwei Tan Gabriele Pergola Lin Gui Yulan He 29 10 0 24 Oct 2022
CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation Tanay Dixit Bhargavi Paranjape Hannaneh Hajishirzi Luke Zettlemoyer SyDa 146 23 0 10 Oct 2022
Generative Language Models for Paragraph-Level Question Generation Asahi Ushio Fernando Alva-Manchego Jose Camacho-Collados ELM 13 45 0 08 Oct 2022
State-of-the-art generalisation research in NLP: A taxonomy and review Dieuwke Hupkes Mario Giulianelli Verna Dankers Mikel Artetxe Yanai Elazar ... Leila Khalatbari Maria Ryskina Rita Frieske Ryan Cotterell Zhijing Jin 121 94 0 06 Oct 2022
Increasing Adverse Drug Events extraction robustness on social media: case study on negation and speculation Simone Scaboro Beatrice Portelli Emmanuele Chersoni Enrico Santus G. Serra 24 5 0 06 Sep 2022
A Survey on Measuring and Mitigating Reasoning Shortcuts in Machine Reading Comprehension Xanh Ho Johannes Mario Meissner Saku Sugawara Akiko Aizawa OffRL 35 4 0 05 Sep 2022
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned Deep Ganguli Liane Lovitt John Kernion Amanda Askell Yuntao Bai ... Nicholas Joseph Sam McCandlish C. Olah Jared Kaplan Jack Clark 231 446 0 23 Aug 2022
Low-Resource Dense Retrieval for Open-Domain Question Answering: A Comprehensive Survey Xiaoyu Shen Svitlana Vakulenko Marco Del Tredici Gianni Barlacchi Bill Byrne Adria de Gispert RALM VLM 28 20 0 05 Aug 2022
An Understanding-Oriented Robust Machine Reading Comprehension Model Feiliang Ren Yongkang Liu Bochao Li Shilei Liu Bingchao Wang Jiaqi Wang Chunchao Liu Qi Ma 19 3 0 01 Jul 2022
Collecting high-quality adversarial data for machine reading comprehension tasks with humans and models in the loop Damian Y. Romero Diaz M. Aniol John M. Culnan 27 0 0 28 Jun 2022
Adversarial Training for High-Stakes Reliability Daniel M. Ziegler Seraphina Nix Lawrence Chan Tim Bauman Peter Schmidt-Nielsen ... Noa Nabeshima Benjamin Weinstein-Raun D. Haas Buck Shlegeris Nate Thomas AAML 35 59 0 03 May 2022
Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets Yuxiang Wu Matt Gardner Pontus Stenetorp Pradeep Dasigi 37 67 0 24 Mar 2022
Using calibrator to improve robustness in Machine Reading Comprehension Jing Jin Houfeng Wang AAML 17 0 0 24 Feb 2022
Red Teaming Language Models with Language Models Ethan Perez Saffron Huang Francis Song Trevor Cai Roman Ring John Aslanides Amelia Glaese Nat McAleese G. Irving AAML 13 610 0 07 Feb 2022
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation Alisa Liu Swabha Swayamdipta Noah A. Smith Yejin Choi 67 211 0 16 Jan 2022
Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants Max Bartolo Tristan Thrush Sebastian Riedel Pontus Stenetorp Robin Jia Douwe Kiela 24 33 0 16 Dec 2021
Retrieval-guided Counterfactual Generation for QA Bhargavi Paranjape Matthew Lamm Ian Tenney 33 31 0 14 Oct 2021
Turning Tables: Generating Examples from Semi-structured Tables for Endowing Language Models with Reasoning Skills Ori Yoran Alon Talmor Jonathan Berant ReLM LRM 183 53 0 15 Jul 2021
Question Answering Infused Pre-training of General-Purpose Contextualized Representations Robin Jia M. Lewis Luke Zettlemoyer 18 28 0 15 Jun 2021
Cooperative Self-training of Machine Reading Comprehension Hongyin Luo Shang-Wen Li Ming Gao Seunghak Yu James R. Glass SyDa RALM 15 11 0 12 Mar 2021
DynaSent: A Dynamic Benchmark for Sentiment Analysis Christopher Potts Zhengxuan Wu Atticus Geiger Douwe Kiela 230 77 0 30 Dec 2020
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets Mor Geva Yoav Goldberg Jonathan Berant 242 320 0 21 Aug 2019