Can Pretrained Language Models (Yet) Reason Deductively?

12 October 2022

Papers citing "Can Pretrained Language Models (Yet) Reason Deductively?"

7 / 7 papers shown

Title
The Contribution of Knowledge in Visiolinguistic Learning: A Survey on Tasks and Challenges Maria Lymperaiou Giorgos Stamou VLM 24 4 0 04 Mar 2023
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 291 4,048 0 24 May 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,402 0 28 Jan 2022
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation Kaustubh D. Dhole Varun Gangal Sebastian Gehrmann Aadesh Gupta Zhenhao Li ... Tianbao Xie Usama Yaseen Michael A. Yee Jing Zhang Yue Zhang 169 86 0 06 Dec 2021
Prix-LM: Pretraining for Multilingual Knowledge Base Construction Wenxuan Zhou Fangyu Liu Ivan Vulić Nigel Collier Muhao Chen KELM 62 18 0 16 Oct 2021
Flexible Generation of Natural Language Deductions Kaj Bostrom Xinyu Zhao Swarat Chaudhuri Greg Durrett ReLM LRM 254 33 0 18 Apr 2021
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 406 2,576 0 03 Sep 2019