Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated Explanations

14 November 2022

Papers citing "Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated Explanations"

7 / 7 papers shown

Title
Legal Syllogism Prompting: Teaching Large Language Models for Legal Judgment Prediction Cong Jiang Xiaolei Yang ELM LRM AILaw 16 38 0 17 Jul 2023
Taking Advice from ChatGPT Peter Zhang 27 5 0 11 May 2023
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 297 3,236 0 21 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 315 8,448 0 28 Jan 2022
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity Yao Lu Max Bartolo Alastair Moore Sebastian Riedel Pontus Stenetorp AILaw LRM 277 1,117 0 18 Apr 2021
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,586 0 21 Jan 2020
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 255 620 0 04 Dec 2018