Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason
Over Implicit Knowledge

Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge

11 June 2020

Oyvind Tafjord

Jonathan Berant

Papers citing "Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge"

10 / 10 papers shown

Title
Explicit Planning Helps Language Models in Logical Reasoning Hongyu Zhao Kangrui Wang Mo Yu Hongyuan Mei LRM ReLM 30 15 0 28 Mar 2023
Affective Faces for Goal-Driven Dyadic Communication Scott Geng Revant Teotia Purva Tendulkar Sachit Menon Carl Vondrick VGen 26 18 0 26 Jan 2023
Can Transformers Reason in Fragments of Natural Language? Viktor Schlegel Kamen V. Pavlov Ian Pratt-Hartmann LRM ReLM 22 7 0 10 Nov 2022
Chain of Thought Imitation with Procedure Cloning Mengjiao Yang Dale Schuurmans Pieter Abbeel Ofir Nachum OffRL 30 29 0 22 May 2022
METGEN: A Module-Based Entailment Tree Generation Framework for Answer Explanation Ruixin Hong Hongming Zhang Xintong Yu Changshui Zhang ReLM LRM 30 32 0 05 May 2022
Logically Consistent Adversarial Attacks for Soft Theorem Provers Alexander Gaskell Yishu Miao Lucia Specia Francesca Toni AAML 6 7 0 29 Apr 2022
CommonsenseQA 2.0: Exposing the Limits of AI through Gamification Alon Talmor Ori Yoran Ronan Le Bras Chandrasekhar Bhagavatula Yoav Goldberg Yejin Choi Jonathan Berant ELM 19 140 0 14 Jan 2022
Datasheet for the Pile Stella Biderman Kieran Bicheno Leo Gao 47 35 0 13 Jan 2022
On Semantic Cognition, Inductive Generalization, and Language Models Kanishka Misra LRM AI4CE 14 3 0 04 Nov 2021
A Decomposable Attention Model for Natural Language Inference Ankur P. Parikh Oscar Täckström Dipanjan Das Jakob Uszkoreit 196 1,367 0 06 Jun 2016