Think you have solved question answering? try arc, the ai2 reasoning challenge
Original
Peter Clark, Isaac Cowhey, Oren Etzioni, Tushar Khot, Ashish Sabharwal, Carissa Schoenick, and Oyvind Tafjord · 2018
Earlier work this paper cites.
Language models are few-shot learners, 2020
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei · 2020
Earlier work this paper cites.
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, and Jennimaria Palomaki · 2020
Earlier work this paper cites.
Normbank: A knowledge bank of situational social norms
Original
Caleb Ziems, Jane Dwivedi-Yu, Yi-Chia Wang, Alon Halevy, and Diyi Yang · 2020
Earlier work this paper cites.
Dynabench: Rethinking benchmarking in nlp
Original
Douwe Kiela, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger, Zhengxuan Wu, Bertie Vidgen, Grusha Prasad, Amanpreet Singh, Pratik Ringshia, et al · 2021
Earlier work this paper cites.
Truthfulqa: Measuring how models mimic human falsehoods
Original
Stephanie Lin, Jacob Hilton, and Owain Evans · 2021
Earlier work this paper cites.
Mkqa: A linguistically diverse benchmark for multilingual open domain question answering
Shayne Longpre, Yi Lu, and Joachim Daiber · 2021
Earlier work this paper cites.
Red teaming language models to reduce harms: Methods, scaling behaviors, and lessons learned
Original
Deep Ganguli, Liane Lovitt, Jackson Kernion, Amanda Askell, Yuntao Bai, Saurav Kadavath, Ben Mann, Ethan Perez, Nicholas Schiefer, Kamal Ndousse, et al · 2022
Earlier work this paper cites.
Challenges and strategies in cross-cultural nlp
Original
Daniel Hershcovich, Stella Frank, Heather Lent, Miryam de Lhoneux, Mostafa Abdou, Stephanie Brandl, Emanuele Bugliarello, Laura Cabello Piqueras, Ilias Chalkidis, Ruixiang Cui, et al · 2022
Earlier work this paper cites.
Commonsenseqa 2.0: Exposing the limits of ai through gamification
Original
Alon Talmor, Ori Yoran, Ronan Le Bras, Chandra Bhagavatula, Yoav Goldberg, Yejin Choi, and Jonathan Berant · 2022
Earlier work this paper cites.
Probing pre-trained language models for cross-cultural differences in values
Arnav Arora, Lucie-aimée Kaffee, and Isabelle Augenstein · 2023
Earlier work this paper cites.
Assessing cross-cultural alignment between ChatGPT and human societies: An empirical study
Yong Cao, Li Zhou, Seolhwa Lee, Laura Cabello, Min Chen, and Daniel Hershcovich · 2023
Earlier work this paper cites.
Evaluation of african american language bias in natural language generation
Original
Nicholas Deas, Jessica A. Grieser, Shana Kleiner, Desmond Upton Patton, Elsbeth Turcan, and Kathleen McKeown · 2023
Earlier work this paper cites.