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Faith and Fate: Limits of Transformers on Compositionality

Faith and Fate: Limits of Transformers on Compositionality

29 May 2023
Nouha Dziri
Ximing Lu
Melanie Sclar
Xiang Lorraine Li
Liwei Jian
Bill Yuchen Lin
Peter West
Chandra Bhagavatula
Ronan Le Bras
Jena D. Hwang
Soumya Sanyal
Sean Welleck
Xiang Ren
Allyson Ettinger
Zaïd Harchaoui
Yejin Choi
    ReLM
    LRM
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Papers citing "Faith and Fate: Limits of Transformers on Compositionality"

50 / 244 papers shown
Title
Insertion Language Models: Sequence Generation with Arbitrary-Position Insertions
Insertion Language Models: Sequence Generation with Arbitrary-Position Insertions
Dhruvesh Patel
Aishwarya Sahoo
Avinash Amballa
Tahira Naseem
Tim G. J. Rudner
Andrew McCallum
KELM
37
0
0
09 May 2025
Chain-of-Thought Tokens are Computer Program Variables
Chain-of-Thought Tokens are Computer Program Variables
Fangwei Zhu
Peiyi Wang
Zhifang Sui
LRM
29
0
0
08 May 2025
Recursive Decomposition with Dependencies for Generic Divide-and-Conquer Reasoning
Recursive Decomposition with Dependencies for Generic Divide-and-Conquer Reasoning
Sergio Hernández-Gutiérrez
Minttu Alakuijala
Alexander Nikitin
Pekka Marttinen
LRM
41
2
0
05 May 2025
A Theoretical Analysis of Compositional Generalization in Neural Networks: A Necessary and Sufficient Condition
A Theoretical Analysis of Compositional Generalization in Neural Networks: A Necessary and Sufficient Condition
Yuanpeng Li
CoGe
33
0
0
05 May 2025
Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction
Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction
Vaishnavh Nagarajan
Chen Henry Wu
Charles Ding
Aditi Raghunathan
28
0
0
21 Apr 2025
Rethinking Reflection in Pre-Training
Rethinking Reflection in Pre-Training
Essential AI
Darsh J Shah
Peter Rushton
Somanshu Singla
Mohit Parmar
...
Philip Monk
Platon Mazarakis
Ritvik Kapila
Saurabh Srivastava
Tim Romanski
ReLM
LRM
37
3
0
05 Apr 2025
On the Connection Between Diffusion Models and Molecular Dynamics
On the Connection Between Diffusion Models and Molecular Dynamics
Liam Harcombe
Timothy T. Duignan
DiffM
37
1
0
04 Apr 2025
Have Large Language Models Learned to Reason? A Characterization via 3-SAT Phase Transition
Have Large Language Models Learned to Reason? A Characterization via 3-SAT Phase Transition
Rishi Hazra
Gabriele Venturato
Pedro Zuidberg Dos Martires
Luc de Raedt
ReLM
LRM
55
0
0
04 Apr 2025
Benchmarking Systematic Relational Reasoning with Large Language and Reasoning Models
Benchmarking Systematic Relational Reasoning with Large Language and Reasoning Models
Irtaza Khalid
Amir Masoud Nourollah
Steven Schockaert
LRM
34
0
0
30 Mar 2025
The Reasoning-Memorization Interplay in Language Models Is Mediated by a Single Direction
The Reasoning-Memorization Interplay in Language Models Is Mediated by a Single Direction
Yihuai Hong
Dian Zhou
Meng Cao
Lei Yu
Zhijing Jin
LRM
41
0
0
29 Mar 2025
Negation: A Pink Elephant in the Large Language Models' Room?
Negation: A Pink Elephant in the Large Language Models' Room?
Tereza Vrabcová
Marek Kadlcík
Petr Sojka
Michal Štefánik
Michal Spiegel
39
0
0
28 Mar 2025
Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models
Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models
Zhanke Zhou
Zhaocheng Zhu
Xuan Li
Mikhail Galkin
Xiao Feng
Sanmi Koyejo
Jian Tang
Bo Han
LRM
38
0
0
28 Mar 2025
MetaScale: Test-Time Scaling with Evolving Meta-Thoughts
MetaScale: Test-Time Scaling with Evolving Meta-Thoughts
Qin Liu
Wenxuan Zhou
Nan Xu
James Y. Huang
Fei-Yue Wang
Sheng Zhang
Hoifung Poon
M. Chen
LLMAG
ReLM
AI4Cl
LRM
85
1
0
17 Mar 2025
Don't Take Things Out of Context: Attention Intervention for Enhancing Chain-of-Thought Reasoning in Large Language Models
Shaotian Yan
Chen Shen
Wenxiao Wang
Liang Xie
Junjie Liu
Jieping Ye
ReLM
LRM
43
0
0
14 Mar 2025
Are formal and functional linguistic mechanisms dissociated in language models?
Are formal and functional linguistic mechanisms dissociated in language models?
Michael Hanna
Sandro Pezzelle
Yonatan Belinkov
41
0
0
14 Mar 2025
Understanding the Logical Capabilities of Large Language Models via Out-of-Context Representation Learning
Jonathan Shaki
Emanuele La Malfa
Michael Wooldridge
Sarit Kraus
LRM
ReLM
64
0
0
13 Mar 2025
Language Models, Graph Searching, and Supervision Adulteration: When More Supervision is Less and How to Make More More
Arvid Frydenlund
LRM
44
0
0
13 Mar 2025
A Representationalist, Functionalist and Naturalistic Conception of Intelligence as a Foundation for AGI
Rolf Pfister
53
0
0
10 Mar 2025
AI-driven control of bioelectric signalling for real-time topological reorganization of cells
AI-driven control of bioelectric signalling for real-time topological reorganization of cells
Gonçalo Hora de Carvalho
AI4CE
38
0
0
10 Mar 2025
MastermindEval: A Simple But Scalable Reasoning Benchmark
Jonas Golde
Patrick Haller
Fabio Barth
Alan Akbik
LRM
ReLM
ELM
46
1
0
07 Mar 2025
From Infants to AI: Incorporating Infant-like Learning in Models Boosts Efficiency and Generalization in Learning Social Prediction Tasks
Shify Treger
Shimon Ullman
48
0
0
05 Mar 2025
Structural Deep Encoding for Table Question Answering
Raphael Mouravieff
Benjamin Piwowarski
Sylvain Lamprier
LMTD
39
0
0
03 Mar 2025
FINEREASON: Evaluating and Improving LLMs' Deliberate Reasoning through Reflective Puzzle Solving
FINEREASON: Evaluating and Improving LLMs' Deliberate Reasoning through Reflective Puzzle Solving
Guizhen Chen
Weiwen Xu
Hao Zhang
Hou Pong Chan
Chaoqun Liu
Lidong Bing
Deli Zhao
Anh Tuan Luu
Yu Rong
ReLM
LRM
45
3
0
27 Feb 2025
Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models
Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models
Yukang Yang
Declan Campbell
Kaixuan Huang
Mengdi Wang
Jonathan D. Cohen
Taylor W. Webb
LRM
54
2
0
27 Feb 2025
Beyond In-Distribution Success: Scaling Curves of CoT Granularity for Language Model Generalization
Beyond In-Distribution Success: Scaling Curves of CoT Granularity for Language Model Generalization
Ru Wang
Wei Huang
Selena Song
Haoyu Zhang
Yusuke Iwasawa
Y. Matsuo
Jiaxian Guo
OODD
LRM
67
2
0
25 Feb 2025
The Role of Sparsity for Length Generalization in Transformers
The Role of Sparsity for Length Generalization in Transformers
Noah Golowich
Samy Jelassi
David Brandfonbrener
Sham Kakade
Eran Malach
37
0
0
24 Feb 2025
Making LLMs Reason? The Intermediate Language Problem in Neurosymbolic Approaches
Making LLMs Reason? The Intermediate Language Problem in Neurosymbolic Approaches
Alexander Beiser
David Penz
LRM
38
0
0
24 Feb 2025
Reasoning about Affordances: Causal and Compositional Reasoning in LLMs
Reasoning about Affordances: Causal and Compositional Reasoning in LLMs
Magnus F. Gjerde
Vanessa Cheung
David Lagnado
ReLM
LRM
48
0
0
23 Feb 2025
None of the Others: a General Technique to Distinguish Reasoning from Memorization in Multiple-Choice LLM Evaluation Benchmarks
None of the Others: a General Technique to Distinguish Reasoning from Memorization in Multiple-Choice LLM Evaluation Benchmarks
Eva Sánchez Salido
Julio Gonzalo
Guillermo Marco
ELM
53
2
0
18 Feb 2025
MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs
MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs
Andreas Opedal
Haruki Shirakami
Bernhard Schölkopf
Abulhair Saparov
Mrinmaya Sachan
LRM
52
1
0
17 Feb 2025
Artificial Kuramoto Oscillatory Neurons
Artificial Kuramoto Oscillatory Neurons
Takeru Miyato
Sindy Lowe
Andreas Geiger
Max Welling
AI4CE
62
6
0
17 Feb 2025
Evaluating the Systematic Reasoning Abilities of Large Language Models through Graph Coloring
Evaluating the Systematic Reasoning Abilities of Large Language Models through Graph Coloring
Alex Heyman
Joel Zylberberg
LRM
42
0
0
10 Feb 2025
Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges
Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges
Nayoung Lee
Ziyang Cai
Avi Schwarzschild
Kangwook Lee
Dimitris Papailiopoulos
ReLM
VLM
LRM
AI4CE
64
4
0
03 Feb 2025
Strassen Attention: Unlocking Compositional Abilities in Transformers Based on a New Lower Bound Method
Strassen Attention: Unlocking Compositional Abilities in Transformers Based on a New Lower Bound Method
A. Kozachinskiy
Felipe Urrutia
Hector Jimenez
Tomasz Steifer
Germán Pizarro
Matías Fuentes
Francisco Meza
Cristian Buc
Cristóbal Rojas
47
1
0
31 Jan 2025
Will Systems of LLM Agents Cooperate: An Investigation into a Social Dilemma
Richard Willis
Yali Du
Joel Z. Leibo
Michael Luck
47
1
0
28 Jan 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
43
0
0
27 Jan 2025
Evolution and The Knightian Blindspot of Machine Learning
Evolution and The Knightian Blindspot of Machine Learning
Joel Lehman
Elliot Meyerson
Tarek El-Gaaly
Kenneth O. Stanley
Tarin Ziyaee
75
1
0
22 Jan 2025
Exposing Limitations of Language Model Agents in Sequential-Task Compositions on the Web
Exposing Limitations of Language Model Agents in Sequential-Task Compositions on the Web
Hiroki Furuta
Yutaka Matsuo
Aleksandra Faust
Izzeddin Gur
CLL
78
13
0
03 Jan 2025
Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding
Jiajun Zhu
Peihao Wang
Ruisi Cai
Jason D. Lee
Pan Li
Z. Wang
KELM
31
1
0
03 Jan 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
67
4
0
31 Dec 2024
Evolutionary Pre-Prompt Optimization for Mathematical Reasoning
Evolutionary Pre-Prompt Optimization for Mathematical Reasoning
Mathurin Videau
Alessandro Leite
Marc Schoenauer
O. Teytaud
ReLM
LRM
66
0
0
05 Dec 2024
Theoretical limitations of multi-layer Transformer
Theoretical limitations of multi-layer Transformer
Lijie Chen
Binghui Peng
Hongxun Wu
AI4CE
62
6
0
04 Dec 2024
Learning Elementary Cellular Automata with Transformers
Learning Elementary Cellular Automata with Transformers
Mikhail Burtsev
65
0
0
02 Dec 2024
Sneaking Syntax into Transformer Language Models with Tree Regularization
Sneaking Syntax into Transformer Language Models with Tree Regularization
Ananjan Nandi
Christopher D. Manning
Shikhar Murty
64
0
0
28 Nov 2024
Do Large Language Models Perform Latent Multi-Hop Reasoning without
  Exploiting Shortcuts?
Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts?
Sohee Yang
Nora Kassner
E. Gribovskaya
Sebastian Riedel
Mor Geva
KELM
LRM
ReLM
72
4
0
25 Nov 2024
The Two-Hop Curse: LLMs trained on A$\rightarrow$B, B$\rightarrow$C fail to learn A$\rightarrow$C
The Two-Hop Curse: LLMs trained on A→\rightarrow→B, B→\rightarrow→C fail to learn A→\rightarrow→C
Mikita Balesni
Tomek Korbak
Owain Evans
ReLM
LRM
72
0
0
25 Nov 2024
Learning to Reason Iteratively and Parallelly for Complex Visual
  Reasoning Scenarios
Learning to Reason Iteratively and Parallelly for Complex Visual Reasoning Scenarios
Shantanu Jaiswal
Debaditya Roy
Basura Fernando
Cheston Tan
ReLM
LRM
63
2
0
20 Nov 2024
SetLexSem Challenge: Using Set Operations to Evaluate the Lexical and
  Semantic Robustness of Language Models
SetLexSem Challenge: Using Set Operations to Evaluate the Lexical and Semantic Robustness of Language Models
Bardiya Akhbari
Manish Gawali
Nicholas A. Dronen
AAML
22
0
0
11 Nov 2024
Quantifying artificial intelligence through algebraic generalization
Quantifying artificial intelligence through algebraic generalization
Takuya Ito
Murray Campbell
L. Horesh
Tim Klinger
Parikshit Ram
ELM
46
0
0
08 Nov 2024
How Transformers Solve Propositional Logic Problems: A Mechanistic
  Analysis
How Transformers Solve Propositional Logic Problems: A Mechanistic Analysis
Guan Zhe Hong
Nishanth Dikkala
Enming Luo
Cyrus Rashtchian
Xin Wang
Rina Panigrahy
OffRL
LRM
NAI
21
0
0
06 Nov 2024
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