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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
Alon Talmor
Oyvind Tafjord
Peter Clark
Yoav Goldberg
Jonathan Berant
    ReLM
    LRM
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Papers citing "Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge"

11 / 11 papers shown
Title
Explicit Planning Helps Language Models in Logical Reasoning
Explicit Planning Helps Language Models in Logical Reasoning
Hongyu Zhao
Kangrui Wang
Mo Yu
Hongyuan Mei
LRM
ReLM
40
15
0
28 Mar 2023
Affective Faces for Goal-Driven Dyadic Communication
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?
Can Transformers Reason in Fragments of Natural Language?
Viktor Schlegel
Kamen V. Pavlov
Ian Pratt-Hartmann
LRM
ReLM
32
7
0
10 Nov 2022
Chain of Thought Imitation with Procedure Cloning
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
METGEN: A Module-Based Entailment Tree Generation Framework for Answer Explanation
Ruixin Hong
Hongming Zhang
Xintong Yu
Changshui Zhang
ReLM
LRM
32
32
0
05 May 2022
Logically Consistent Adversarial Attacks for Soft Theorem Provers
Logically Consistent Adversarial Attacks for Soft Theorem Provers
Alexander Gaskell
Yishu Miao
Lucia Specia
Francesca Toni
AAML
18
7
0
29 Apr 2022
CommonsenseQA 2.0: Exposing the Limits of AI through Gamification
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
141
0
14 Jan 2022
Datasheet for the Pile
Datasheet for the Pile
Stella Biderman
Kieran Bicheno
Leo Gao
52
35
0
13 Jan 2022
On Semantic Cognition, Inductive Generalization, and Language Models
On Semantic Cognition, Inductive Generalization, and Language Models
Kanishka Misra
LRM
AI4CE
19
3
0
04 Nov 2021
When Can Models Learn From Explanations? A Formal Framework for
  Understanding the Roles of Explanation Data
When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data
Peter Hase
Joey Tianyi Zhou
XAI
25
87
0
03 Feb 2021
A Decomposable Attention Model for Natural Language Inference
A Decomposable Attention Model for Natural Language Inference
Ankur P. Parikh
Oscar Täckström
Dipanjan Das
Jakob Uszkoreit
213
1,367
0
06 Jun 2016
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