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Meaning without reference in large language models
v1v2 (latest)

Meaning without reference in large language models

5 August 2022
S. Piantadosi
Felix Hill
ArXiv (abs)PDFHTML

Papers citing "Meaning without reference in large language models"

50 / 53 papers shown
Title
What does it mean to understand language?
What does it mean to understand language?
Colton Casto
Anna A. Ivanova
Evelina Fedorenko
Nancy Kanwisher
48
0
0
24 Nov 2025
Calibrating Verbalized Confidence with Self-Generated Distractors
Calibrating Verbalized Confidence with Self-Generated Distractors
Victor Wang
Elias Stengel-Eskin
60
0
0
29 Sep 2025
The Outputs of Large Language Models are Meaningless
The Outputs of Large Language Models are Meaningless
Anandi Hattiangadi
Anders J. Schoubye
28
0
0
26 Sep 2025
How Causal Abstraction Underpins Computational Explanation
How Causal Abstraction Underpins Computational Explanation
Atticus Geiger
Jacqueline Harding
Thomas Icard
73
2
0
15 Aug 2025
TinyTim: A Family of Language Models for Divergent Generation
TinyTim: A Family of Language Models for Divergent Generation
Christopher J. Agostino
71
0
0
15 Aug 2025
Language models align with brain regions that represent concepts across modalities
Language models align with brain regions that represent concepts across modalities
Maria Ryskina
Greta Tuckute
Alexander Fung
Ashley Malkin
Evelina Fedorenko
56
1
0
15 Aug 2025
Explainability Through Systematicity: The Hard Systematicity Challenge for Artificial Intelligence
Explainability Through Systematicity: The Hard Systematicity Challenge for Artificial Intelligence
Matthieu Queloz
110
2
0
29 Jul 2025
CompoST: A Benchmark for Analyzing the Ability of LLMs To Compositionally Interpret Questions in a QALD Setting
CompoST: A Benchmark for Analyzing the Ability of LLMs To Compositionally Interpret Questions in a QALD Setting
David Maria Schmidt
Raoul Schubert
Philipp Cimiano
CoGe
220
0
0
28 Jul 2025
Mechanistic Indicators of Understanding in Large Language Models
Mechanistic Indicators of Understanding in Large Language Models
Pierre Beckmann
Matthieu Queloz
151
1
0
07 Jul 2025
A quantum semantic framework for natural language processing
A quantum semantic framework for natural language processing
Christopher J. Agostino
Quan Le Thien
Molly Apsel
Denizhan Pak
Elina Lesyk
Ashabari Majumdar
201
2
0
11 Jun 2025
Not Minds, but Signs: Reframing LLMs through Semiotics
Not Minds, but Signs: Reframing LLMs through Semiotics
Davide Picca
109
2
0
20 May 2025
What Do Large Language Models Know? Tacit Knowledge as a Potential Causal-Explanatory Structure
What Do Large Language Models Know? Tacit Knowledge as a Potential Causal-Explanatory StructurePhilosophia Scientiæ (PS), 2025
Céline Budding
76
3
0
16 Apr 2025
BAMBI: Developing Baby Language Models for Italian
Alice Suozzi
Luca Capone
Gianluca E. Lebani
Alessandro Lenci
224
4
0
12 Mar 2025
Revealing emergent human-like conceptual representations from language prediction
Revealing emergent human-like conceptual representations from language predictionProceedings of the National Academy of Sciences of the United States of America (PNAS), 2025
Ningyu Xu
Tao Gui
Chao Du
Qiang Luo
Jiaqi Leng
Qi Zhang
Menghan Zhang
434
1
0
21 Jan 2025
Large Language Model Benchmarks in Medical Tasks
Large Language Model Benchmarks in Medical Tasks
Lawrence K. Q. Yan
Ming Li
Yujiao Shi
Cheng Fei
Cheng Fei
...
Junyu Liu
Xinyuan Song
Riyang Bao
Zekun Jiang
Ziyuan Qin
LM&MAAI4MH
475
15
0
28 Oct 2024
Chatting with Bots: AI, Speech Acts, and the Edge of Assertion
Chatting with Bots: AI, Speech Acts, and the Edge of Assertion
Iwan Williams
Tim Bayne
187
6
0
22 Oct 2024
Large Language Models and Cognitive Science: A Comprehensive Review of
  Similarities, Differences, and Challenges
Large Language Models and Cognitive Science: A Comprehensive Review of Similarities, Differences, and Challenges
Qian Niu
Junyu Liu
Ziqian Bi
Pohsun Feng
Benji Peng
...
Ming Li
Lawrence KQ Yan
Yichao Zhang
Caitlyn Heqi Yin
Cheng Fei
264
42
0
04 Sep 2024
Does Thought Require Sensory Grounding? From Pure Thinkers to Large
  Language Models
Does Thought Require Sensory Grounding? From Pure Thinkers to Large Language Models
David J. Chalmers
LRMAI4MH
133
19
0
18 Aug 2024
Benchmarks as Microscopes: A Call for Model Metrology
Benchmarks as Microscopes: A Call for Model Metrology
Michael Stephen Saxon
Ari Holtzman
Peter West
William Y. Wang
Naomi Saphra
254
24
0
22 Jul 2024
Standards for Belief Representations in LLMs
Standards for Belief Representations in LLMs
Daniel A. Herrmann
B. Levinstein
236
23
0
31 May 2024
Large Language Models estimate fine-grained human color-concept
  associations
Large Language Models estimate fine-grained human color-concept associations
Kushin Mukherjee
Timothy T. Rogers
Karen B. Schloss
VLM
192
8
0
04 May 2024
Language in Vivo vs. in Silico: Size Matters but Larger Language Models Still Do Not Comprehend Language on a Par with Humans Due to Impenetrable Semantic Reference
Language in Vivo vs. in Silico: Size Matters but Larger Language Models Still Do Not Comprehend Language on a Par with Humans Due to Impenetrable Semantic Reference
Vittoria Dentella
Fritz Guenther
Evelina Leivada
ELM
286
5
0
23 Apr 2024
Can AI and humans genuinely communicate?
Can AI and humans genuinely communicate?
Constant Bonard
162
2
0
14 Feb 2024
A Philosophical Introduction to Language Models -- Part I: Continuity
  With Classic Debates
A Philosophical Introduction to Language Models -- Part I: Continuity With Classic Debates
Raphael Milliere
Cameron Buckner
LRMELM
147
37
0
08 Jan 2024
Challenges of Large Language Models for Mental Health Counseling
Challenges of Large Language Models for Mental Health Counseling
N. C. Chung
George C. Dyer
L. Brocki
LM&MAAI4MH
210
23
0
23 Nov 2023
Meaning and understanding in large language models
Meaning and understanding in large language models
Vladimír Havlík
AI4CE
110
9
0
26 Oct 2023
The Quo Vadis of the Relationship between Language and Large Language
  Models
The Quo Vadis of the Relationship between Language and Large Language Models
Evelina Leivada
Vittoria Dentella
Elliot Murphy
169
6
0
17 Oct 2023
From task structures to world models: What do LLMs know?
From task structures to world models: What do LLMs know?Trends in Cognitive Sciences (Trends Cogn Sci), 2023
ilker. yildirim
L. A. Paul
193
75
0
06 Oct 2023
Large language models converge toward human-like concept organization
Large language models converge toward human-like concept organization
Mathias Gammelgaard
Jonathan Gabel Christiansen
Anders Søgaard
110
3
0
29 Aug 2023
Learning to Model the World with Language
Learning to Model the World with LanguageInternational Conference on Machine Learning (ICML), 2023
Jessy Lin
Yuqing Du
Olivia Watkins
Danijar Hafner
Pieter Abbeel
Dan Klein
Anca Dragan
LM&RoSyDa
223
69
0
31 Jul 2023
Evaluating the Moral Beliefs Encoded in LLMs
Evaluating the Moral Beliefs Encoded in LLMsNeural Information Processing Systems (NeurIPS), 2023
Nino Scherrer
Claudia Shi
Amir Feder
David M. Blei
199
191
0
26 Jul 2023
Reasoning or Reciting? Exploring the Capabilities and Limitations of
  Language Models Through Counterfactual Tasks
Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual TasksNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023
Zhaofeng Wu
Linlu Qiu
Alexis Ross
Ekin Akyürek
Boyuan Chen
Bailin Wang
Najoung Kim
Jacob Andreas
Yoon Kim
LRMReLM
338
289
0
05 Jul 2023
Still No Lie Detector for Language Models: Probing Empirical and
  Conceptual Roadblocks
Still No Lie Detector for Language Models: Probing Empirical and Conceptual RoadblocksPhilosophical Studies (Philos. Stud.), 2023
B. Levinstein
Daniel A. Herrmann
215
77
0
30 Jun 2023
Artificial intelligence is algorithmic mimicry: why artificial "agents"
  are not (and won't be) proper agents
Artificial intelligence is algorithmic mimicry: why artificial "agents" are not (and won't be) proper agentsNeurons, Behavior, Data analysis, and Theory (NBDT), 2023
Johannes Jaeger
AI4CE
202
15
0
27 Jun 2023
Operationalising Representation in Natural Language Processing
Operationalising Representation in Natural Language ProcessingBritish Journal for the Philosophy of Science (BJPS), 2023
J. Harding
249
15
0
14 Jun 2023
Causal interventions expose implicit situation models for commonsense
  language understanding
Causal interventions expose implicit situation models for commonsense language understandingAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Takateru Yamakoshi
James L. McClelland
A. Goldberg
Robert D. Hawkins
247
6
0
06 Jun 2023
Being Right for Whose Right Reasons?
Being Right for Whose Right Reasons?Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Terne Sasha Thorn Jakobsen
Laura Cabello
Anders Søgaard
146
14
0
01 Jun 2023
MEWL: Few-shot multimodal word learning with referential uncertainty
MEWL: Few-shot multimodal word learning with referential uncertaintyInternational Conference on Machine Learning (ICML), 2023
Guangyuan Jiang
Manjie Xu
Shiji Xin
Weihan Liang
Yujia Peng
Fangqiu Yi
Yixin Zhu
OffRL
191
24
0
01 Jun 2023
Does Conceptual Representation Require Embodiment? Insights From Large
  Language Models
Does Conceptual Representation Require Embodiment? Insights From Large Language Models
Qihui Xu
Ying-Fang Peng
Feng Xiao
M. Chodorow
Minghua Wu
Ping Li
207
13
0
30 May 2023
The Vector Grounding Problem
The Vector Grounding Problem
Dimitri Coelho Mollo
Raphael Milliere
287
39
0
04 Apr 2023
Understanding Natural Language Understanding Systems. A Critical
  Analysis
Understanding Natural Language Understanding Systems. A Critical Analysis
Alessandro Lenci
ELM
128
14
0
01 Mar 2023
Testing AI on language comprehension tasks reveals insensitivity to
  underlying meaning
Testing AI on language comprehension tasks reveals insensitivity to underlying meaningScientific Reports (Sci Rep), 2023
Vittoria Dentella
Fritz Guenther
Elliot Murphy
G. Marcus
Evelina Leivada
ELM
278
49
0
23 Feb 2023
Do Vision and Language Models Share Concepts? A Vector Space Alignment
  Study
Do Vision and Language Models Share Concepts? A Vector Space Alignment StudyTransactions of the Association for Computational Linguistics (TACL), 2023
Jiaang Li
Yova Kementchedjhieva
Constanza Fierro
Anders Søgaard
VLM
193
19
0
13 Feb 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
ELMReLM
228
228
0
16 Jan 2023
Does CLIP Bind Concepts? Probing Compositionality in Large Image Models
Does CLIP Bind Concepts? Probing Compositionality in Large Image ModelsFindings (Findings), 2022
Martha Lewis
Nihal V. Nayak
Peilin Yu
Qinan Yu
Jack Merullo
Stephen H. Bach
Ellie Pavlick
VLMOCLCoGe
313
90
0
20 Dec 2022
Towards Reasoning in Large Language Models: A Survey
Towards Reasoning in Large Language Models: A SurveyAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Jie Huang
Kevin Chen-Chuan Chang
LM&MAELMLRM
704
781
0
20 Dec 2022
Talking About Large Language Models
Talking About Large Language ModelsCommunications of the ACM (CACM), 2022
Murray Shanahan
AI4CE
268
355
0
07 Dec 2022
Language Models as Agent Models
Language Models as Agent ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Jacob Andreas
LLMAG
219
163
0
03 Dec 2022
DALL-E 2 Fails to Reliably Capture Common Syntactic Processes
DALL-E 2 Fails to Reliably Capture Common Syntactic Processes
Evelina Leivada
Elliot Murphy
G. Marcus
249
44
0
23 Oct 2022
The Debate Over Understanding in AI's Large Language Models
The Debate Over Understanding in AI's Large Language ModelsProceedings of the National Academy of Sciences of the United States of America (PNAS), 2022
Melanie Mitchell
D. Krakauer
ELM
279
281
0
14 Oct 2022
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