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When can transformers reason with abstract symbols?

When can transformers reason with abstract symbols?

15 October 2023
Enric Boix-Adserà
Omid Saremi
Emmanuel Abbe
Samy Bengio
Etai Littwin
Josh Susskind
    LRM
    NAI
ArXivPDFHTML

Papers citing "When can transformers reason with abstract symbols?"

13 / 13 papers shown
Title
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows
Wenhao Li
Bo Jin
Mingyi Hong
Changhong Lu
Xiangfeng Wang
48
0
0
07 May 2025
Lost in Cultural Translation: Do LLMs Struggle with Math Across Cultural Contexts?
Lost in Cultural Translation: Do LLMs Struggle with Math Across Cultural Contexts?
Aabid Karim
Abdul Karim
Bhoomika Lohana
Matt Keon
Jaswinder Singh
A. Sattar
47
0
0
23 Mar 2025
Enhancing Time Series Forecasting via Logic-Inspired Regularization
Jianqi Zhang
Jingyao Wang
Xingchen Shen
Wenwen Qiang
AI4TS
39
0
0
10 Mar 2025
Exact Learning of Permutations for Nonzero Binary Inputs with Logarithmic Training Size and Quadratic Ensemble Complexity
George Giapitzakis
Artur Back de Luca
K. Fountoulakis
54
0
0
24 Feb 2025
FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learning
FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learning
Jason Jingzhou Liu
Yulong Li
Kenneth Shaw
Tony Tao
Ruslan Salakhutdinov
Deepak Pathak
OffRL
59
1
0
24 Feb 2025
Out-of-distribution generalization via composition: a lens through induction heads in Transformers
Out-of-distribution generalization via composition: a lens through induction heads in Transformers
Jiajun Song
Zhuoyan Xu
Yiqiao Zhong
82
4
0
31 Dec 2024
Transformer Normalisation Layers and the Independence of Semantic
  Subspaces
Transformer Normalisation Layers and the Independence of Semantic Subspaces
S. Menary
Samuel Kaski
Andre Freitas
44
2
0
25 Jun 2024
What Can Transformer Learn with Varying Depth? Case Studies on Sequence
  Learning Tasks
What Can Transformer Learn with Varying Depth? Case Studies on Sequence Learning Tasks
Xingwu Chen
Difan Zou
ViT
24
12
0
02 Apr 2024
Three Pathways to Neurosymbolic Reinforcement Learning with
  Interpretable Model and Policy Networks
Three Pathways to Neurosymbolic Reinforcement Learning with Interpretable Model and Policy Networks
Peter Graf
Patrick Emami
24
2
0
07 Feb 2024
Vamos: Versatile Action Models for Video Understanding
Vamos: Versatile Action Models for Video Understanding
Shijie Wang
Qi Zhao
Minh Quan Do
Nakul Agarwal
Kwonjoon Lee
Chen Sun
27
19
0
22 Nov 2023
Do Transformers Parse while Predicting the Masked Word?
Do Transformers Parse while Predicting the Masked Word?
Haoyu Zhao
A. Panigrahi
Rong Ge
Sanjeev Arora
76
31
0
14 Mar 2023
Emergent Symbols through Binding in External Memory
Emergent Symbols through Binding in External Memory
Taylor W. Webb
I. Sinha
J. Cohen
67
64
0
29 Dec 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
228
4,460
0
23 Jan 2020
1