How Interpretable are Reasoning Explanations from Prompting Large Language Models?

19 February 2024

Papers citing "How Interpretable are Reasoning Explanations from Prompting Large Language Models?"

7 / 7 papers shown

Title
Chain of Thoughtlessness? An Analysis of CoT in Planning Kaya Stechly Karthik Valmeekam Subbarao Kambhampati LRM LM&Ro 54 37 0 08 May 2024
Rethinking with Retrieval: Faithful Large Language Model Inference Hangfeng He Hongming Zhang Dan Roth KELM LRM 141 151 0 31 Dec 2022
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
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 3,163 0 21 Mar 2022
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies Mor Geva Daniel Khashabi Elad Segal Tushar Khot Dan Roth Jonathan Berant RALM 245 671 0 06 Jan 2021
Measuring Association Between Labels and Free-Text Rationales Sarah Wiegreffe Ana Marasović Noah A. Smith 274 170 0 24 Oct 2020
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 252 618 0 04 Dec 2018