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Measuring Systematic Generalization in Neural Proof Generation with
  Transformers

Measuring Systematic Generalization in Neural Proof Generation with Transformers

30 September 2020
Nicolas Angelard-Gontier
Koustuv Sinha
Siva Reddy
C. Pal
    LRM
ArXivPDFHTML

Papers citing "Measuring Systematic Generalization in Neural Proof Generation with Transformers"

13 / 13 papers shown
Title
Distributional Scaling Laws for Emergent Capabilities
Distributional Scaling Laws for Emergent Capabilities
Rosie Zhao
Tian Qin
David Alvarez-Melis
Sham Kakade
Naomi Saphra
LRM
37
0
0
24 Feb 2025
Learning to Reason With Relational Abstractions
Learning to Reason With Relational Abstractions
A. Nam
Mengye Ren
Chelsea Finn
James L. McClelland
ReLM
LRM
16
4
0
06 Oct 2022
Summarization Programs: Interpretable Abstractive Summarization with
  Neural Modular Trees
Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees
Swarnadeep Saha
Shiyue Zhang
Peter Hase
Mohit Bansal
16
19
0
21 Sep 2022
Generating Intermediate Steps for NLI with Next-Step Supervision
Generating Intermediate Steps for NLI with Next-Step Supervision
Deepanway Ghosal
Somak Aditya
Monojit Choudhury
LRM
27
1
0
31 Aug 2022
Does Entity Abstraction Help Generative Transformers Reason?
Does Entity Abstraction Help Generative Transformers Reason?
Nicolas Angelard-Gontier
Siva Reddy
C. Pal
19
5
0
05 Jan 2022
Pushing the Limits of Rule Reasoning in Transformers through Natural
  Language Satisfiability
Pushing the Limits of Rule Reasoning in Transformers through Natural Language Satisfiability
Kyle Richardson
Ashish Sabharwal
ReLM
LRM
17
24
0
16 Dec 2021
Systematic Generalization with Edge Transformers
Systematic Generalization with Edge Transformers
Leon Bergen
Timothy J. O'Donnell
Dzmitry Bahdanau
10
46
0
01 Dec 2021
Dyna-bAbI: unlocking bAbI's potential with dynamic synthetic
  benchmarking
Dyna-bAbI: unlocking bAbI's potential with dynamic synthetic benchmarking
Ronen Tamari
Kyle Richardson
Aviad Sar-Shalom
Noam Kahlon
Nelson F. Liu
Reut Tsarfaty
Dafna Shahaf
28
5
0
30 Nov 2021
multiPRover: Generating Multiple Proofs for Improved Interpretability in
  Rule Reasoning
multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning
Swarnadeep Saha
Prateek Yadav
Mohit Bansal
ReLM
LRM
8
26
0
02 Jun 2021
Limitations of Autoregressive Models and Their Alternatives
Limitations of Autoregressive Models and Their Alternatives
Chu-cheng Lin
Aaron Jaech
Xin Li
Matthew R. Gormley
Jason Eisner
18
58
0
22 Oct 2020
Critical Thinking for Language Models
Critical Thinking for Language Models
Gregor Betz
Christian Voigt
Kyle Richardson
SyDa
ReLM
LRM
AI4CE
11
35
0
15 Sep 2020
Probing Linguistic Systematicity
Probing Linguistic Systematicity
Emily Goodwin
Koustuv Sinha
Timothy J. O'Donnell
86
58
0
08 May 2020
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
404
2,576
0
03 Sep 2019
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