Precise Task Formalization Matters in Winograd Schema Evaluations

8 October 2020

Papers citing "Precise Task Formalization Matters in Winograd Schema Evaluations"

6 / 6 papers shown

Title
Causal interventions expose implicit situation models for commonsense language understanding Takateru Yamakoshi James L. McClelland A. Goldberg Robert D. Hawkins 25 6 0 06 Jun 2023
LLM-powered Data Augmentation for Enhanced Cross-lingual Performance Chenxi Whitehouse Monojit Choudhury Alham Fikri Aji SyDa LRM 32 68 0 23 May 2023
OPT: Open Pre-trained Transformer Language Models Susan Zhang Stephen Roller Naman Goyal Mikel Artetxe Moya Chen ... Daniel Simig Punit Singh Koura Anjali Sridhar Tianlu Wang Luke Zettlemoyer VLM OSLM AI4CE 61 3,488 0 02 May 2022
Towards Zero-shot Commonsense Reasoning with Self-supervised Refinement of Language Models T. Klein Moin Nabi ReLM LRM 32 8 0 10 Sep 2021
Back to Square One: Artifact Detection, Training and Commonsense Disentanglement in the Winograd Schema Yanai Elazar Hongming Zhang Yoav Goldberg Dan Roth ReLM LRM 45 44 0 16 Apr 2021
When Do You Need Billions of Words of Pretraining Data? Yian Zhang Alex Warstadt Haau-Sing Li Samuel R. Bowman 26 136 0 10 Nov 2020