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The Debate Over Understanding in AI's Large Language Models

The Debate Over Understanding in AI's Large Language Models

14 October 2022
Melanie Mitchell
D. Krakauer
    ELM
ArXivPDFHTML

Papers citing "The Debate Over Understanding in AI's Large Language Models"

44 / 44 papers shown
Title
Large Language Models Understanding: an Inherent Ambiguity Barrier
Large Language Models Understanding: an Inherent Ambiguity Barrier
Daniel N. Nissani
54
0
0
01 May 2025
Large Language Models Pass the Turing Test
Large Language Models Pass the Turing Test
Cameron R. Jones
Benjamin K. Bergen
ALM
ELM
94
8
0
31 Mar 2025
The Philosophical Foundations of Growing AI Like A Child
The Philosophical Foundations of Growing AI Like A Child
Dezhi Luo
Yijiang Li
Hokin Deng
ReLM
LRM
57
2
0
15 Feb 2025
The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept Understanding
The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept Understanding
Mo Yu
Lemao Liu
J. Wu
Tsz Ting Chung
Shunchi Zhang
JiangNan Li
Dit-Yan Yeung
Jie Zhou
104
1
0
13 Feb 2025
Human-like conceptual representations emerge from language prediction
Human-like conceptual representations emerge from language prediction
Ningyu Xu
Qi Zhang
Chao Du
Qiang Luo
Xipeng Qiu
Xuanjing Huang
Menghan Zhang
81
0
0
21 Jan 2025
Revisiting Rogers' Paradox in the Context of Human-AI Interaction
Revisiting Rogers' Paradox in the Context of Human-AI Interaction
Katherine M. Collins
Umang Bhatt
Ilia Sucholutsky
101
1
0
16 Jan 2025
Probing Mechanical Reasoning in Large Vision Language Models
Probing Mechanical Reasoning in Large Vision Language Models
Haoran Sun
Qingying Gao
Haiyun Lyu
Dezhi Luo
Yijiang Li
Hokin Deng
LRM
61
2
0
01 Oct 2024
Vision Language Models See What You Want but not What You See
Vision Language Models See What You Want but not What You See
Qingying Gao
Yijiang Li
Haiyun Lyu
Haoran Sun
Dezhi Luo
Hokin Deng
LRM
VLM
62
5
0
01 Oct 2024
Dissecting the Ullman Variations with a SCALPEL: Why do LLMs fail at Trivial Alterations to the False Belief Task?
Dissecting the Ullman Variations with a SCALPEL: Why do LLMs fail at Trivial Alterations to the False Belief Task?
Zhiqiang Pi
Annapurna Vadaparty
Benjamin Bergen
Cameron R. Jones
34
2
0
20 Jun 2024
Personality Traits in Large Language Models
Personality Traits in Large Language Models
Gregory Serapio-García
Mustafa Safdari
Clément Crepy
Luning Sun
Stephen Fitz
P. Romero
Marwa Abdulhai
Aleksandra Faust
Maja J. Matarić
LM&MA
LLMAG
78
120
0
01 Jul 2023
Dissociating language and thought in large language models
Dissociating language and thought in large language models
Kyle Mahowald
Anna A. Ivanova
I. Blank
Nancy Kanwisher
J. Tenenbaum
Evelina Fedorenko
ELM
ReLM
38
213
0
16 Jan 2023
Talking About Large Language Models
Talking About Large Language Models
Murray Shanahan
AI4CE
50
257
0
07 Dec 2022
In-context Learning and Induction Heads
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
296
494
0
24 Sep 2022
Machine Reading, Fast and Slow: When Do Models "Understand" Language?
Machine Reading, Fast and Slow: When Do Models "Understand" Language?
Sagnik Ray Choudhury
Anna Rogers
Isabelle Augenstein
LRM
45
18
0
15 Sep 2022
Do Large Language Models know what humans know?
Do Large Language Models know what humans know?
Sean Trott
Cameron J. Jones
Tyler A. Chang
J. Michaelov
Benjamin Bergen
19
92
0
04 Sep 2022
What Do NLP Researchers Believe? Results of the NLP Community Metasurvey
What Do NLP Researchers Believe? Results of the NLP Community Metasurvey
Julian Michael
Ari Holtzman
Alicia Parrish
Aaron Mueller
Alex Jinpeng Wang
...
Divyam Madaan
Nikita Nangia
Richard Yuanzhe Pang
Jason Phang
Sam Bowman
40
38
0
26 Aug 2022
Meaning without reference in large language models
Meaning without reference in large language models
S. Piantadosi
Felix Hill
50
73
0
05 Aug 2022
Large Language Models and the Reverse Turing Test
Large Language Models and the Reverse Turing Test
T. Sejnowski
ELM
54
107
0
28 Jul 2022
Language models show human-like content effects on reasoning tasks
Language models show human-like content effects on reasoning tasks
Ishita Dasgupta
Andrew Kyle Lampinen
Stephanie C. Y. Chan
Hannah R. Sheahan
Antonia Creswell
D. Kumaran
James L. McClelland
Felix Hill
ReLM
LRM
79
186
0
14 Jul 2022
Using cognitive psychology to understand GPT-3
Using cognitive psychology to understand GPT-3
Marcel Binz
Eric Schulz
ELM
LLMAG
285
462
0
21 Jun 2022
Emergent Abilities of Large Language Models
Emergent Abilities of Large Language Models
Jason W. Wei
Yi Tay
Rishi Bommasani
Colin Raffel
Barret Zoph
...
Tatsunori Hashimoto
Oriol Vinyals
Percy Liang
J. Dean
W. Fedus
ELM
ReLM
LRM
170
2,428
0
15 Jun 2022
Predicting Human Psychometric Properties Using Computational Language
  Models
Predicting Human Psychometric Properties Using Computational Language Models
Antonio Laverghetta
Animesh Nighojkar
Jamshidbek Mirzakhalov
John Licato
40
8
0
12 May 2022
Neurocompositional computing: From the Central Paradox of Cognition to a
  new generation of AI systems
Neurocompositional computing: From the Central Paradox of Cognition to a new generation of AI systems
P. Smolensky
R. Thomas McCoy
Roland Fernandez
Matthew A. Goldrick
Jia-Hao Gao
70
63
0
02 May 2022
PaLM: Scaling Language Modeling with Pathways
PaLM: Scaling Language Modeling with Pathways
Aakanksha Chowdhery
Sharan Narang
Jacob Devlin
Maarten Bosma
Gaurav Mishra
...
Kathy Meier-Hellstern
Douglas Eck
J. Dean
Slav Petrov
Noah Fiedel
PILM
LRM
314
6,132
0
05 Apr 2022
Training language models to follow instructions with human feedback
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
677
12,525
0
04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
570
9,009
0
28 Jan 2022
LaMDA: Language Models for Dialog Applications
LaMDA: Language Models for Dialog Applications
R. Thoppilan
Daniel De Freitas
Jamie Hall
Noam M. Shazeer
Apoorv Kulshreshtha
...
Blaise Aguera-Arcas
Claire Cui
M. Croak
Ed H. Chi
Quoc Le
ALM
96
1,577
0
20 Jan 2022
Recent Advances in Natural Language Processing via Large Pre-Trained
  Language Models: A Survey
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey
Bonan Min
Hayley L Ross
Elior Sulem
Amir Pouran Ben Veyseh
Thien Huu Nguyen
Oscar Sainz
Eneko Agirre
Ilana Heinz
Dan Roth
LM&MA
VLM
AI4CE
93
1,055
0
01 Nov 2021
Implicit Representations of Meaning in Neural Language Models
Implicit Representations of Meaning in Neural Language Models
Belinda Z. Li
Maxwell Nye
Jacob Andreas
NAI
MILM
38
175
0
01 Jun 2021
Competency Problems: On Finding and Removing Artifacts in Language Data
Competency Problems: On Finding and Removing Artifacts in Language Data
Matt Gardner
William Merrill
Jesse Dodge
Matthew E. Peters
Alexis Ross
Sameer Singh
Noah A. Smith
177
109
0
17 Apr 2021
Word meaning in minds and machines
Word meaning in minds and machines
Brenden M. Lake
G. Murphy
NAI
38
117
0
04 Aug 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
458
41,106
0
28 May 2020
How Can We Accelerate Progress Towards Human-like Linguistic
  Generalization?
How Can We Accelerate Progress Towards Human-like Linguistic Generalization?
Tal Linzen
249
194
0
03 May 2020
Shortcut Learning in Deep Neural Networks
Shortcut Learning in Deep Neural Networks
Robert Geirhos
J. Jacobsen
Claudio Michaelis
R. Zemel
Wieland Brendel
Matthias Bethge
Felix Wichmann
170
2,023
0
16 Apr 2020
Probing Neural Network Comprehension of Natural Language Arguments
Probing Neural Network Comprehension of Natural Language Arguments
Timothy Niven
Hung-Yu kao
AAML
60
453
0
17 Jul 2019
SuperGLUE: A Stickier Benchmark for General-Purpose Language
  Understanding Systems
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems
Alex Jinpeng Wang
Yada Pruksachatkun
Nikita Nangia
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
174
2,287
0
02 May 2019
Unmasking Clever Hans Predictors and Assessing What Machines Really
  Learn
Unmasking Clever Hans Predictors and Assessing What Machines Really Learn
Sebastian Lapuschkin
S. Wäldchen
Alexander Binder
G. Montavon
Wojciech Samek
K. Müller
61
1,005
0
26 Feb 2019
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural
  Language Inference
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference
R. Thomas McCoy
Ellie Pavlick
Tal Linzen
111
1,226
0
04 Feb 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
882
93,936
0
11 Oct 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
594
7,080
0
20 Apr 2018
Annotation Artifacts in Natural Language Inference Data
Annotation Artifacts in Natural Language Inference Data
Suchin Gururangan
Swabha Swayamdipta
Omer Levy
Roy Schwartz
Samuel R. Bowman
Noah A. Smith
91
1,167
0
06 Mar 2018
Theoretical Impediments to Machine Learning With Seven Sparks from the
  Causal Revolution
Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution
Judea Pearl
CML
45
330
0
11 Jan 2018
Mastering Chess and Shogi by Self-Play with a General Reinforcement
  Learning Algorithm
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
David Silver
Thomas Hubert
Julian Schrittwieser
Ioannis Antonoglou
Matthew Lai
...
D. Kumaran
T. Graepel
Timothy Lillicrap
Karen Simonyan
Demis Hassabis
99
1,755
0
05 Dec 2017
The Argument Reasoning Comprehension Task: Identification and
  Reconstruction of Implicit Warrants
The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants
Ivan Habernal
Henning Wachsmuth
Iryna Gurevych
Benno Stein
24
151
0
04 Aug 2017
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