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2405.15164
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From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks
24 May 2024
Jacob Russin
Sam Whitman McGrath
Danielle J. Williams
Lotem Elber-Dorozko
AI4CE
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Papers citing
"From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks"
20 / 20 papers shown
Title
Neural networks that overcome classic challenges through practice
Kazuki Irie
Brenden M. Lake
19
4
0
14 Oct 2024
A Philosophical Introduction to Language Models - Part II: The Way Forward
Raphael Milliere
Cameron Buckner
LRM
32
11
0
06 May 2024
Iterated Learning Improves Compositionality in Large Vision-Language Models
Chenhao Zheng
Jieyu Zhang
Aniruddha Kembhavi
Ranjay Krishna
VLM
CoGe
41
9
0
02 Apr 2024
Prompting Large Vision-Language Models for Compositional Reasoning
Timothy Ossowski
Ming Jiang
Junjie Hu
CoGe
VLM
LRM
30
3
0
20 Jan 2024
Compositional Generalization for Multi-label Text Classification: A Data-Augmentation Approach
X. Chu
Zhuang Li
Jiahui Liu
Lei Chen
Yuanpei Cai
Donghong Ji
K. W. S. Au
23
8
0
18 Dec 2023
Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees
Dorde Zikelic
Mathias Lechner
Abhinav Verma
K. Chatterjee
T. Henzinger
25
9
0
03 Dec 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sébastien Bubeck
Varun Chandrasekaran
Ronen Eldan
J. Gehrke
Eric Horvitz
...
Scott M. Lundberg
Harsha Nori
Hamid Palangi
Marco Tulio Ribeiro
Yi Zhang
ELM
AI4MH
AI4CE
ALM
197
2,953
0
22 Mar 2023
Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small
Kevin Wang
Alexandre Variengien
Arthur Conmy
Buck Shlegeris
Jacob Steinhardt
207
486
0
01 Nov 2022
State-of-the-art generalisation research in NLP: A taxonomy and review
Dieuwke Hupkes
Mario Giulianelli
Verna Dankers
Mikel Artetxe
Yanai Elazar
...
Leila Khalatbari
Maria Ryskina
Rita Frieske
Ryan Cotterell
Zhijing Jin
103
91
0
06 Oct 2022
Compositional Semantic Parsing with Large Language Models
Andrew Drozdov
Nathanael Scharli
Ekin Akyuurek
Nathan Scales
Xinying Song
Xinyun Chen
Olivier Bousquet
Denny Zhou
ReLM
LRM
187
91
0
29 Sep 2022
In-context Learning and Induction Heads
Catherine Olsson
Nelson Elhage
Neel Nanda
Nicholas Joseph
Nova Dassarma
...
Tom B. Brown
Jack Clark
Jared Kaplan
Sam McCandlish
C. Olah
234
453
0
24 Sep 2022
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
291
2,712
0
24 May 2022
What company do words keep? Revisiting the distributional semantics of J.R. Firth & Zellig Harris
Mikael Brunila
J. LaViolette
29
20
0
16 May 2022
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 2022
Learning in High Dimension Always Amounts to Extrapolation
Randall Balestriero
J. Pesenti
Yann LeCun
26
87
0
18 Oct 2021
Inducing Transformer's Compositional Generalization Ability via Auxiliary Sequence Prediction Tasks
Yichen Jiang
Mohit Bansal
87
25
0
30 Sep 2021
The paradox of the compositionality of natural language: a neural machine translation case study
Verna Dankers
Elia Bruni
Dieuwke Hupkes
CoGe
152
75
0
12 Aug 2021
Emergent Symbols through Binding in External Memory
Taylor W. Webb
I. Sinha
J. Cohen
59
62
0
29 Dec 2020
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
220
3,054
0
23 Jan 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
234
11,568
0
09 Mar 2017
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