Using Language Models For Knowledge Acquisition in Natural Language Reasoning Problems

4 April 2023

Papers citing "Using Language Models For Knowledge Acquisition in Natural Language Reasoning Problems"

8 / 8 papers shown

Title
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought Abulhair Saparov He He ELM LRM ReLM 247 311 0 03 Oct 2022
Faithful Reasoning Using Large Language Models Antonia Creswell Murray Shanahan ReLM LRM 64 125 0 30 Aug 2022
On the Paradox of Learning to Reason from Data Honghua Zhang Liunian Harold Li Tao Meng Kai-Wei Chang Guy Van den Broeck NAI ReLM OOD LRM 196 107 0 23 May 2022
Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning Antonia Creswell Murray Shanahan I. Higgins ReLM LRM 110 364 0 19 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 823 9,644 0 28 Jan 2022
Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge Alon Talmor Oyvind Tafjord Peter Clark Yoav Goldberg Jonathan Berant ReLM LRM 80 38 0 11 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 859 42,379 0 28 May 2020
Teaching Temporal Logics to Neural Networks Christopher Hahn Frederik Schmitt Jens U. Kreber M. Rabe Bernd Finkbeiner NAI 89 67 0 06 Mar 2020