Say What You Mean! Large Language Models Speak Too Positively about
Negative Commonsense Knowledge

Say What You Mean! Large Language Models Speak Too Positively about Negative Commonsense Knowledge

10 May 2023

Ziquan Fu

Lei Li

Papers citing "Say What You Mean! Large Language Models Speak Too Positively about Negative Commonsense Knowledge"

16 / 16 papers shown

Title
Every Answer Matters: Evaluating Commonsense with Probabilistic Measures Qi Cheng Michael Boratko Pranay Kumar Yelugam T. O’Gorman Nalini Singh Andrew McCallum X. Li ELM LRM 40 3 0 06 Jun 2024
ACCORD: Closing the Commonsense Measurability Gap François Roewer-Després Jinyue Feng Zining Zhu Frank Rudzicz LRM 48 0 0 04 Jun 2024
Benchmarking Knowledge Boundary for Large Language Models: A Different Perspective on Model Evaluation Xunjian Yin Xu Zhang Jie Ruan Xiaojun Wan ELM 36 17 0 18 Feb 2024
AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems Clara Punzi Roberto Pellungrini Mattia Setzu F. Giannotti D. Pedreschi 25 5 0 09 Feb 2024
KGQuiz: Evaluating the Generalization of Encoded Knowledge in Large Language Models Yuyang Bai Shangbin Feng Vidhisha Balachandran Zhaoxuan Tan Shiqi Lou Tianxing He Yulia Tsvetkov ELM 40 2 0 15 Oct 2023
Statistical Knowledge Assessment for Large Language Models Qingxiu Dong Jingjing Xu Lingpeng Kong Zhifang Sui Lei Li HILM 44 6 0 17 May 2023
Entailer: Answering Questions with Faithful and Truthful Chains of Reasoning Oyvind Tafjord Bhavana Dalvi Peter Clark ReLM KELM LRM 62 52 0 21 Oct 2022
Can Large Language Models Truly Understand Prompts? A Case Study with Negated Prompts Joel Jang Seonghyeon Ye Minjoon Seo ELM LRM 95 64 0 26 Sep 2022
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations Jaehun Jung Lianhui Qin Sean Welleck Faeze Brahman Chandra Bhagavatula Ronan Le Bras Yejin Choi ReLM LRM 229 190 0 24 May 2022
Penguins Don't Fly: Reasoning about Generics through Instantiations and Exceptions Emily Allaway Jena D. Hwang Chandra Bhagavatula Kathleen McKeown Doug Downey Yejin Choi LRM 44 20 0 23 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 314 3,273 0 21 Mar 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 339 12,003 0 04 Mar 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 398 8,559 0 28 Jan 2022
BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief Nora Kassner Oyvind Tafjord Hinrich Schütze Peter Clark KELM LRM 245 64 0 29 Sep 2021
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 419 2,588 0 03 Sep 2019
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 263 622 0 04 Dec 2018