An Incomplete Loop: Deductive, Inductive, and Abductive Learning in
Large Language Models

An Incomplete Loop: Deductive, Inductive, and Abductive Learning in Large Language Models

3 April 2024

Graham Neubig

Papers citing "An Incomplete Loop: Deductive, Inductive, and Abductive Learning in Large Language Models"

5 / 5 papers shown

Title
InductionBench: LLMs Fail in the Simplest Complexity Class Wenyue Hua Tyler Wong Sun Fei Liangming Pan Adam Jardine William Yang Wang LRM 65 2 0 20 Feb 2025
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 291 2,712 0 24 May 2022
Instruction Induction: From Few Examples to Natural Language Task Descriptions Or Honovich Uri Shaham Samuel R. Bowman Omer Levy ELM LRM 107 133 0 22 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 8,261 0 28 Jan 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 203 1,651 0 15 Oct 2021