Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2305.18654
Cited By
v1
v2
v3 (latest)
Faith and Fate: Limits of Transformers on Compositionality
Neural Information Processing Systems (NeurIPS), 2023
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
Re-assign community
ArXiv (abs)
PDF
HTML
HuggingFace (7 upvotes)
Papers citing
"Faith and Fate: Limits of Transformers on Compositionality"
50 / 325 papers shown
Title
An Examination on the Effectiveness of Divide-and-Conquer Prompting in Large Language Models
Yizhou Zhang
Lun Du
Defu Cao
Qiang Fu
Yan Liu
LRM
257
11
0
08 Feb 2024
Three Pathways to Neurosymbolic Reinforcement Learning with Interpretable Model and Policy Networks
Peter Graf
Patrick Emami
156
3
0
07 Feb 2024
On Provable Length and Compositional Generalization
Kartik Ahuja
Amin Mansouri
OODD
310
14
0
07 Feb 2024
Learning a Decision Tree Algorithm with Transformers
Yufan Zhuang
Liyuan Liu
Chandan Singh
Jingbo Shang
Jianfeng Gao
245
7
0
06 Feb 2024
Discovering and Reasoning of Causality in the Hidden World with Large Language Models
Chenxi Liu
Yongqiang Chen
Tongliang Liu
Biwei Huang
James Cheng
Bo Han
Kun Zhang
CML
321
19
0
06 Feb 2024
Graph-enhanced Large Language Models in Asynchronous Plan Reasoning
Fangru Lin
Emanuele La Malfa
Valentin Hofmann
Elle Michelle Yang
Anthony Cohn
J. Pierrehumbert
LRM
325
28
0
05 Feb 2024
Enhance Reasoning for Large Language Models in the Game Werewolf
Shuang Wu
Liwen Zhu
Tao Yang
Shiwei Xu
Qiang Fu
Yang Wei
Haobo Fu
LRM
LLMAG
288
32
0
04 Feb 2024
Position: Graph Foundation Models are Already Here
Haitao Mao
Zhikai Chen
Wenzhuo Tang
Jianan Zhao
Yao Ma
Tong Zhao
Neil Shah
Mikhail Galkin
Shucheng Zhou
AI4CE
338
70
0
03 Feb 2024
LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks
Subbarao Kambhampati
Kaya Stechly
L. Guan
Mudit Verma
Kaya Stechly
Siddhant Bhambri
Lucas Saldyt
Anil Murthy
LRM
494
167
0
02 Feb 2024
Compositional Generative Modeling: A Single Model is Not All You Need
Yilun Du
L. Kaelbling
PINN
GAN
372
41
0
02 Feb 2024
Salsa Fresca: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors
Samuel Stevens
Emily Wenger
C. Li
Niklas Nolte
Eshika Saxena
François Charton
Kristin E. Lauter
AAML
169
12
0
02 Feb 2024
Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?
Andreas Opedal
Alessandro Stolfo
Haruki Shirakami
Ying Jiao
Robert Bamler
Bernhard Schölkopf
Abulhair Saparov
Mrinmaya Sachan
LRM
256
23
0
31 Jan 2024
ReGAL: Refactoring Programs to Discover Generalizable Abstractions
Elias Stengel-Eskin
Archiki Prasad
Mohit Bansal
221
19
0
29 Jan 2024
Language-Guided World Models: A Model-Based Approach to AI Control
Alex Zhang
Khanh Nguyen
Jens Tuyls
Albert Lin
Karthik Narasimhan
LLMAG
247
10
0
24 Jan 2024
AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents
Neural Information Processing Systems (NeurIPS), 2024
Chang Ma
Junlei Zhang
Zhihao Zhu
Cheng Yang
Yujiu Yang
Yaohui Jin
Zhenzhong Lan
Lingpeng Kong
Junxian He
ELM
LLMAG
219
127
0
24 Jan 2024
Towards Principled Graph Transformers
Luis Muller
Daniel Kusuma
Blai Bonet
Christopher Morris
353
7
0
18 Jan 2024
Code Simulation Challenges for Large Language Models
Emanuele La Malfa
Christoph Weinhuber
Orazio Torre
Fangru Lin
Samuele Marro
Anthony Cohn
Nigel Shadbolt
Michael Wooldridge
LLMAG
LRM
267
10
0
17 Jan 2024
AI-as-exploration: Navigating intelligence space
Dimitri Coelho Mollo
198
2
0
15 Jan 2024
The Unreasonable Effectiveness of Easy Training Data for Hard Tasks
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
Peter Hase
Mohit Bansal
Peter Clark
Sarah Wiegreffe
279
41
0
12 Jan 2024
3VL: Using Trees to Improve Vision-Language Models' Interpretability
IEEE Transactions on Image Processing (IEEE TIP), 2023
Nir Yellinek
Leonid Karlinsky
Raja Giryes
CoGe
VLM
497
7
0
28 Dec 2023
MR-GSM8K: A Meta-Reasoning Benchmark for Large Language Model Evaluation
Zhongshen Zeng
Pengguang Chen
Shu Liu
Haiyun Jiang
Jiaya Jia
ReLM
ELM
LRM
335
36
0
28 Dec 2023
Assessing Logical Reasoning Capabilities of Encoder-Only Transformer Models
Paulo Pirozelli
M. M. José
Paulo de Tarso P. Filho
A. Brandão
Fabio Gagliardi Cozman
LRM
ELM
294
4
0
18 Dec 2023
Knowledge Trees: Gradient Boosting Decision Trees on Knowledge Neurons as Probing Classifier
Sergey A. Saltykov
105
0
0
17 Dec 2023
Look Before You Leap: A Universal Emergent Decomposition of Retrieval Tasks in Language Models
Alexandre Variengien
Eric Winsor
LRM
ReLM
324
17
0
13 Dec 2023
Towards Equipping Transformer with the Ability of Systematic Compositionality
AAAI Conference on Artificial Intelligence (AAAI), 2023
Chen Huang
Peixin Qin
Wenqiang Lei
Jiancheng Lv
204
2
0
12 Dec 2023
Emergence and Function of Abstract Representations in Self-Supervised Transformers
Quentin RV. Ferry
Joshua Ching
Takashi Kawai
210
3
0
08 Dec 2023
Language Models, Agent Models, and World Models: The LAW for Machine Reasoning and Planning
Zhiting Hu
Tianmin Shu
LLMAG
LM&Ro
LRM
310
47
0
08 Dec 2023
A Pipeline For Discourse Circuits From CCG
Jonathon Liu
R. A. Shaikh
Benjamin Rodatz
Richie Yeung
Bob Coecke
183
2
0
29 Nov 2023
StructRe: Rewriting for Structured Shape Modeling
ACM Transactions on Graphics (TOG), 2023
Jiepeng Wang
Hao Pan
Yang Liu
Xin Tong
Taku Komura
Wenping Wang
232
1
0
29 Nov 2023
Function-constrained Program Synthesis
Patrick Hajali
Ignas Budvytis
144
1
0
27 Nov 2023
Visual Programming for Zero-shot Open-Vocabulary 3D Visual Grounding
Computer Vision and Pattern Recognition (CVPR), 2023
Zhihao Yuan
Jinke Ren
Chun-Mei Feng
Hengshuang Zhao
Shuguang Cui
Zhen Li
294
65
0
26 Nov 2023
Conditions for Length Generalization in Learning Reasoning Skills
Changnan Xiao
Bing Liu
LRM
312
7
0
22 Nov 2023
Positional Description Matters for Transformers Arithmetic
Ruoqi Shen
Sébastien Bubeck
Ronen Eldan
Yin Tat Lee
Yuanzhi Li
Yi Zhang
253
56
0
22 Nov 2023
Looped Transformers are Better at Learning Learning Algorithms
International Conference on Learning Representations (ICLR), 2023
Liu Yang
Kangwook Lee
Robert D. Nowak
Dimitris Papailiopoulos
398
54
0
21 Nov 2023
Prompt-based Pseudo-labeling Strategy for Sample-Efficient Semi-Supervised Extractive Summarization
Gaurav Sahu
Olga Vechtomova
I. Laradji
309
1
0
16 Nov 2023
Conversational AI Threads for Visualizing Multidimensional Datasets
Matt-Heun Hong
Anamaria Crisan
124
14
0
09 Nov 2023
ADaPT: As-Needed Decomposition and Planning with Language Models
Archiki Prasad
Alexander Koller
Mareike Hartmann
Peter Clark
Ashish Sabharwal
Mohit Bansal
Tushar Khot
LM&Ro
230
139
0
08 Nov 2023
Leveraging Structured Information for Explainable Multi-hop Question Answering and Reasoning
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Ruosen Li
Xinya Du
LRM
160
29
0
07 Nov 2023
Uncovering Intermediate Variables in Transformers using Circuit Probing
Michael A. Lepori
Thomas Serre
Ellie Pavlick
360
11
0
07 Nov 2023
A Graph-to-Text Approach to Knowledge-Grounded Response Generation in Human-Robot Interaction
Nicholas Walker
Stefan Ultes
Pierre Lison
LM&Ro
468
1
0
03 Nov 2023
The Generative AI Paradox: "What It Can Create, It May Not Understand"
International Conference on Learning Representations (ICLR), 2023
Peter West
Ximing Lu
Nouha Dziri
Faeze Brahman
Linjie Li
...
Khyathi Chandu
Benjamin Newman
Pang Wei Koh
Allyson Ettinger
Yejin Choi
AIMat
302
105
0
31 Oct 2023
Towards A Holistic Landscape of Situated Theory of Mind in Large Language Models
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Ziqiao Ma
Jacob Sansom
Run Peng
Joyce Chai
266
30
0
30 Oct 2023
What Algorithms can Transformers Learn? A Study in Length Generalization
International Conference on Learning Representations (ICLR), 2023
Hattie Zhou
Arwen Bradley
Etai Littwin
Noam Razin
Omid Saremi
Josh Susskind
Samy Bengio
Preetum Nakkiran
239
160
0
24 Oct 2023
LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Theo X. Olausson
Alex Gu
Benjamin Lipkin
Cedegao E. Zhang
Armando Solar-Lezama
Josh Tenenbaum
Roger Levy
LRM
AI4CE
ReLM
467
180
0
23 Oct 2023
Retrieval-Augmented Neural Response Generation Using Logical Reasoning and Relevance Scoring
Nicholas Walker
Stefan Ultes
Pierre Lison
RALM
LRM
202
3
0
20 Oct 2023
AutoMix: Automatically Mixing Language Models
Pranjal Aggarwal
Aman Madaan
Ankit Anand
Srividya Pranavi Potharaju
Swaroop Mishra
...
Karthik Kappaganthu
Yiming Yang
Shyam Upadhyay
Manaal Faruqui
Mausam
502
42
0
19 Oct 2023
AI for Mathematics: A Cognitive Science Perspective
Cedegao E. Zhang
Katherine M. Collins
Adrian Weller
Joshua B. Tenenbaum
192
11
0
19 Oct 2023
GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems
Kaya Stechly
Matthew Marquez
Subbarao Kambhampati
LRM
383
109
0
19 Oct 2023
Multi-stage Large Language Model Correction for Speech Recognition
Jie Pu
Thai-Son Nguyen
Sebastian Stüker
LRM
266
14
0
17 Oct 2023
Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement
International Conference on Learning Representations (ICLR), 2023
Linlu Qiu
Liwei Jiang
Ximing Lu
Melanie Sclar
Valentina Pyatkin
...
Bailin Wang
Yoon Kim
Yejin Choi
Nouha Dziri
Xiang Ren
LRM
ReLM
389
106
0
12 Oct 2023
Previous
1
2
3
4
5
6
7
Next