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On the Paradox of Learning to Reason from Data

On the Paradox of Learning to Reason from Data

23 May 2022
Honghua Zhang
Liunian Harold Li
Tao Meng
Kai-Wei Chang
Guy Van den Broeck
    NAI
    ReLM
    OOD
    LRM
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Papers citing "On the Paradox of Learning to Reason from Data"

21 / 21 papers shown
Title
Reasoning Capabilities and Invariability of Large Language Models
Reasoning Capabilities and Invariability of Large Language Models
Alessandro Raganato
Rafael Peñaloza
Marco Viviani
G. Pasi
ReLM
LRM
82
0
0
01 May 2025
Reasoning Bias of Next Token Prediction Training
Reasoning Bias of Next Token Prediction Training
Pengxiao Lin
Zhongwang Zhang
Zhi-Qin John Xu
LRM
94
2
0
21 Feb 2025
Are Transformers Able to Reason by Connecting Separated Knowledge in Training Data?
Are Transformers Able to Reason by Connecting Separated Knowledge in Training Data?
Yutong Yin
Zhaoran Wang
LRM
ReLM
143
0
0
27 Jan 2025
Benchmarking Defeasible Reasoning with Large Language Models -- Initial
  Experiments and Future Directions
Benchmarking Defeasible Reasoning with Large Language Models -- Initial Experiments and Future Directions
Ilias Tachmazidis
Sotiris Batsakis
G. Antoniou
ReLM
LRM
27
0
0
16 Oct 2024
Can Transformers Reason Logically? A Study in SAT Solving
Can Transformers Reason Logically? A Study in SAT Solving
Leyan Pan
Vijay Ganesh
Jacob Abernethy
Chris Esposo
Wenke Lee
ReLM
LRM
33
0
0
09 Oct 2024
Logicbreaks: A Framework for Understanding Subversion of Rule-based Inference
Logicbreaks: A Framework for Understanding Subversion of Rule-based Inference
Anton Xue
Avishree Khare
Rajeev Alur
Surbhi Goel
Eric Wong
55
2
0
21 Jun 2024
RLSF: Reinforcement Learning via Symbolic Feedback
RLSF: Reinforcement Learning via Symbolic Feedback
Piyush Jha
Prithwish Jana
Arnav Arora
Vijay Ganesh
LRM
49
3
0
26 May 2024
The pitfalls of next-token prediction
The pitfalls of next-token prediction
Gregor Bachmann
Vaishnavh Nagarajan
37
62
0
11 Mar 2024
Demystifying Chains, Trees, and Graphs of Thoughts
Demystifying Chains, Trees, and Graphs of Thoughts
Maciej Besta
Florim Memedi
Zhenyu Zhang
Robert Gerstenberger
Guangyuan Piao
...
Aleš Kubíček
H. Niewiadomski
Aidan O'Mahony
Onur Mutlu
Torsten Hoefler
AI4CE
LRM
75
27
0
25 Jan 2024
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
Natural Language Reasoning, A Survey
Natural Language Reasoning, A Survey
Fei Yu
Hongbo Zhang
Prayag Tiwari
Benyou Wang
ReLM
LRM
49
51
0
26 Mar 2023
Dissociating language and thought in large language models
Dissociating language and thought in large language models
Kyle Mahowald
Anna A. Ivanova
I. Blank
Nancy Kanwisher
J. Tenenbaum
Evelina Fedorenko
ELM
ReLM
29
209
0
16 Jan 2023
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models
  for Logical Reasoning
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning
Soumya Sanyal
Yichong Xu
Shuohang Wang
Ziyi Yang
Reid Pryzant
W. Yu
Chenguang Zhu
Xiang Ren
ReLM
LRM
27
8
0
19 Dec 2022
A Simple, Yet Effective Approach to Finding Biases in Code Generation
A Simple, Yet Effective Approach to Finding Biases in Code Generation
Spyridon Mouselinos
Mateusz Malinowski
Henryk Michalewski
12
7
0
31 Oct 2022
ChemAlgebra: Algebraic Reasoning on Chemical Reactions
ChemAlgebra: Algebraic Reasoning on Chemical Reactions
Andrea Valenti
D. Bacciu
Antonio Vergari
OOD
LRM
32
0
0
05 Oct 2022
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of
  Chain-of-Thought
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought
Abulhair Saparov
He He
ELM
LRM
ReLM
121
275
0
03 Oct 2022
Predicting the Future of AI with AI: High-quality link prediction in an
  exponentially growing knowledge network
Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network
Mario Krenn
L. Buffoni
B. Coutinho
S. Eppel
J. Foster
...
Ngoc M. Tran
Francisco Valente
Yangxinyu Xie
Rose Yu
Michael K Kopp
32
41
0
23 Sep 2022
Faithful Reasoning Using Large Language Models
Faithful Reasoning Using Large Language Models
Antonia Creswell
Murray Shanahan
ReLM
LRM
18
121
0
30 Aug 2022
Natural Language Deduction through Search over Statement Compositions
Natural Language Deduction through Search over Statement Compositions
Kaj Bostrom
Zayne Sprague
Swarat Chaudhuri
Greg Durrett
ReLM
LRM
27
46
0
16 Jan 2022
Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning
Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning
Da Yin
Liunian Harold Li
Ziniu Hu
Nanyun Peng
Kai-Wei Chang
97
52
0
14 Sep 2021
Improving Graph Neural Network Representations of Logical Formulae with
  Subgraph Pooling
Improving Graph Neural Network Representations of Logical Formulae with Subgraph Pooling
M. Crouse
Ibrahim Abdelaziz
Cristina Cornelio
Veronika Thost
Lingfei Wu
Kenneth D. Forbus
Achille Fokoue
NAI
AI4CE
GNN
101
36
0
15 Nov 2019
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