What Question Answering can Learn from Trivia Nerds

31 October 2019

Papers citing "What Question Answering can Learn from Trivia Nerds"

6 / 6 papers shown

Title
How the Advent of Ubiquitous Large Language Models both Stymie and Turbocharge Dynamic Adversarial Question Generation Yoo Yeon Sung Ishani Mondal Jordan L. Boyd-Graber 30 0 0 20 Jan 2024
FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation Sebastian Hofstatter Jiecao Chen K. Raman Hamed Zamani RALM 57 77 0 28 Sep 2022
What's in a Name? Answer Equivalence For Open-Domain Question Answering Chenglei Si Chen Zhao Jordan L. Boyd-Graber 151 35 0 11 Sep 2021
What Will it Take to Fix Benchmarking in Natural Language Understanding? Samuel R. Bowman George E. Dahl ELM ALM 30 156 0 05 Apr 2021
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages J. Clark Eunsol Choi Michael Collins Dan Garrette Tom Kwiatkowski Vitaly Nikolaev J. Palomaki 35 591 0 10 Mar 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