Research
Members
About
News
Events

ELLIS fosters international collaboration across domains, connecting top researchers while investing in the next generation of AI talent.

PhD & Postdoc Program Sites Research Programs Jobs ELLIS PhD Award Projects Building on ELLIS Conference Contributions

Members

ELLIS Members are leading scientists in machine learning and AI, shaping Europe's global position in these fields.

Become a Member Members List Become a Fellow Fellows List

About

ELLIS is a network of excellence connecting top AI researchers across European borders to strengthen the leadership of AI made in Europe.

Board Organisation ELLIS Open Letter ELLIS Position Paper Contact For Media ELLIS FAQ Partnerships

Home
› Think Twice: Measuring the Efficiency of Eliminating Model Biases in Question Answering

Think Twice: Measuring the Efficiency of Eliminating Model Biases in Question Answering

2022

www.semanticscholar.org

Max Bartolo, A. Roberts, Johannes Welbl, Rui P. Chaves, Stephanie N. Richter. 2021, Look, Christopher Clark, Mark Yatskar, Kevin Clark, Urvashi Khandelwal, Omer Levy, Minh-Thang Luong, Quoc V. Le, J. Devlin, Ming-Wei Chang, Kenton Lee, Shi Feng, Eric Wallace, Alvin Grissom, Mohit Iyyer, Pedro Rodriguez, Jordan L. Boyd-Graber, Thomas Wolf, Julien Chaumond, Lysandre Debut, Victor Sanh, Clement Delangue, Anthony Moi, Pierric Cistac, Morgan Funtowicz, Joe Davison, Julien Victor Sanh, Clement Chaumond, Anthony Delangue, Pier-339 Moi, Tim ric Cistac, Rémi Rault, Morgan Louf, Funtowicz, Sam Shleifer, Patrick von Platen, Yacine Jernite, J. Plu, Teven Canwen Xu, Le Scao, Sylvain Gugger, Mariama Drame, Nafise Mingzhu Wu, Sadat Moosavi, Andreas Rücklé, Ruibin Xiong, Yimeng Chen, Liang Pang, Xueqi Cheng, Zhiming Ma, Yanyan Lan. 2021, Uncertainty