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Symbolic Brittleness in Sequence Models: on Systematic Generalization in
  Symbolic Mathematics

Symbolic Brittleness in Sequence Models: on Systematic Generalization in Symbolic Mathematics

28 September 2021
Sean Welleck
Peter West
Jize Cao
Yejin Choi
ArXivPDFHTML

Papers citing "Symbolic Brittleness in Sequence Models: on Systematic Generalization in Symbolic Mathematics"

28 / 28 papers shown
Title
Mitigating Data Scarcity in Time Series Analysis: A Foundation Model with Series-Symbol Data Generation
Mitigating Data Scarcity in Time Series Analysis: A Foundation Model with Series-Symbol Data Generation
Wenxuan Wang
K. Wu
Yujian Betterest Li
Dan Wang
Xinsong Zhang
Jiaheng Liu
AI4TS
68
0
0
24 Feb 2025
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
42
0
0
11 Nov 2024
MLissard: Multilingual Long and Simple Sequential Reasoning Benchmarks
MLissard: Multilingual Long and Simple Sequential Reasoning Benchmarks
M. Bueno
R. Lotufo
Rodrigo Nogueira
LRM
31
0
0
08 Oct 2024
AlphaIntegrator: Transformer Action Search for Symbolic Integration
  Proofs
AlphaIntegrator: Transformer Action Search for Symbolic Integration Proofs
Mert Ünsal
Timon Gehr
Martin Vechev
18
0
0
03 Oct 2024
Unsupervised Dynamics Prediction with Object-Centric Kinematics
Unsupervised Dynamics Prediction with Object-Centric Kinematics
Yeon-Ji Song
Suhyung Choi
Jaein Kim
Jin-Hwa Kim
Byoung-Tak Zhang
43
0
0
29 Apr 2024
Exploring the Limits of Fine-grained LLM-based Physics Inference via
  Premise Removal Interventions
Exploring the Limits of Fine-grained LLM-based Physics Inference via Premise Removal Interventions
Jordan Meadows
Tamsin James
André Freitas
ReLM
LRM
AI4CE
38
1
0
29 Apr 2024
Improving Semantic Control in Discrete Latent Spaces with Transformer
  Quantized Variational Autoencoders
Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders
Yingji Zhang
Danilo S. Carvalho
Marco Valentino
Ian Pratt-Hartmann
André Freitas
DRL
56
5
0
01 Feb 2024
Multi-Operational Mathematical Derivations in Latent Space
Multi-Operational Mathematical Derivations in Latent Space
Marco Valentino
Jordan Meadows
Lan Zhang
André Freitas
29
5
0
02 Nov 2023
What Algorithms can Transformers Learn? A Study in Length Generalization
What Algorithms can Transformers Learn? A Study in Length Generalization
Hattie Zhou
Arwen Bradley
Etai Littwin
Noam Razin
Omid Saremi
Josh Susskind
Samy Bengio
Preetum Nakkiran
34
110
0
24 Oct 2023
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified
  Pre-training
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training
Kazem Meidani
Parshin Shojaee
Chandan K. Reddy
A. Farimani
20
18
0
03 Oct 2023
Learning the greatest common divisor: explaining transformer predictions
Learning the greatest common divisor: explaining transformer predictions
Franccois Charton
20
17
0
29 Aug 2023
Faith and Fate: Limits of Transformers on Compositionality
Faith and Fate: Limits of Transformers on Compositionality
Nouha Dziri
Ximing Lu
Melanie Sclar
Xiang Lorraine Li
Liwei Jian
...
Sean Welleck
Xiang Ren
Allyson Ettinger
Zaïd Harchaoui
Yejin Choi
ReLM
LRM
30
329
0
29 May 2023
A Symbolic Framework for Evaluating Mathematical Reasoning and
  Generalisation with Transformers
A Symbolic Framework for Evaluating Mathematical Reasoning and Generalisation with Transformers
Jordan Meadows
Marco Valentino
Damien Teney
André Freitas
33
8
0
21 May 2023
Can neural networks do arithmetic? A survey on the elementary numerical
  skills of state-of-the-art deep learning models
Can neural networks do arithmetic? A survey on the elementary numerical skills of state-of-the-art deep learning models
Alberto Testolin
AIMat
35
20
0
14 Mar 2023
Towards Autoformalization of Mathematics and Code Correctness:
  Experiments with Elementary Proofs
Towards Autoformalization of Mathematics and Code Correctness: Experiments with Elementary Proofs
Garett Cunningham
Razvan C. Bunescu
D. Juedes
LRM
18
16
0
05 Jan 2023
A Survey of Deep Learning for Mathematical Reasoning
A Survey of Deep Learning for Mathematical Reasoning
Pan Lu
Liang Qiu
Wenhao Yu
Sean Welleck
Kai-Wei Chang
ReLM
LRM
40
137
0
20 Dec 2022
What is my math transformer doing? -- Three results on interpretability
  and generalization
What is my math transformer doing? -- Three results on interpretability and generalization
Franccois Charton
11
19
0
31 Oct 2022
Lila: A Unified Benchmark for Mathematical Reasoning
Lila: A Unified Benchmark for Mathematical Reasoning
Swaroop Mishra
Matthew Finlayson
Pan Lu
Leonard Tang
Sean Welleck
...
Tanmay Rajpurohit
Oyvind Tafjord
Ashish Sabharwal
Peter Clark
Ashwin Kalyan
ELM
AIMat
ReLM
LRM
30
0
0
31 Oct 2022
A Causal Framework to Quantify the Robustness of Mathematical Reasoning
  with Language Models
A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models
Alessandro Stolfo
Zhijing Jin
Kumar Shridhar
Bernhard Schölkopf
Mrinmaya Sachan
ELM
OOD
LRM
35
61
0
21 Oct 2022
Induced Natural Language Rationales and Interleaved Markup Tokens Enable
  Extrapolation in Large Language Models
Induced Natural Language Rationales and Interleaved Markup Tokens Enable Extrapolation in Large Language Models
M. Bueno
Carlos Gemmel
Jeffrey Stephen Dalton
R. Lotufo
Rodrigo Nogueira
LRM
37
12
0
24 Aug 2022
SALSA: Attacking Lattice Cryptography with Transformers
SALSA: Attacking Lattice Cryptography with Transformers
Emily Wenger
Mingjie Chen
Franccois Charton
Kristin E. Lauter
AAML
33
35
0
11 Jul 2022
NaturalProver: Grounded Mathematical Proof Generation with Language
  Models
NaturalProver: Grounded Mathematical Proof Generation with Language Models
Sean Welleck
Jiacheng Liu
Ximing Lu
Hannaneh Hajishirzi
Yejin Choi
AIMat
LRM
30
66
0
25 May 2022
End-to-end symbolic regression with transformers
End-to-end symbolic regression with transformers
Pierre-Alexandre Kamienny
Stéphane dÁscoli
Guillaume Lample
Franccois Charton
25
163
0
22 Apr 2022
Linear algebra with transformers
Linear algebra with transformers
Franccois Charton
AIMat
29
56
0
03 Dec 2021
Iterated learning for emergent systematicity in VQA
Iterated learning for emergent systematicity in VQA
Ankit Vani
Max Schwarzer
Yucheng Lu
Eeshan Gunesh Dhekane
Rameswar Panda
70
24
0
03 May 2021
Enhancing the Transformer Decoder with Transition-based Syntax
Enhancing the Transformer Decoder with Transition-based Syntax
Leshem Choshen
Omri Abend
33
1
0
29 Jan 2021
Certified Robustness to Adversarial Word Substitutions
Certified Robustness to Adversarial Word Substitutions
Robin Jia
Aditi Raghunathan
Kerem Göksel
Percy Liang
AAML
183
291
0
03 Sep 2019
Generating Natural Language Adversarial Examples
Generating Natural Language Adversarial Examples
M. Alzantot
Yash Sharma
Ahmed Elgohary
Bo-Jhang Ho
Mani B. Srivastava
Kai-Wei Chang
AAML
245
915
0
21 Apr 2018
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