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Human-like conceptual representations emerge from language prediction
v1v2v3 (latest)

Human-like conceptual representations emerge from language prediction

21 January 2025
Ningyu Xu
Qi Zhang
Chao Du
Qiang Luo
Xipeng Qiu
Xuanjing Huang
Menghan Zhang
ArXiv (abs)PDFHTML

Papers citing "Human-like conceptual representations emerge from language prediction"

34 / 34 papers shown
Title
Neural networks that overcome classic challenges through practice
Neural networks that overcome classic challenges through practice
Kazuki Irie
Brenden M. Lake
82
6
0
14 Oct 2024
Gemma 2: Improving Open Language Models at a Practical Size
Gemma 2: Improving Open Language Models at a Practical Size
Gemma Team
Gemma Team Morgane Riviere
Shreya Pathak
Pier Giuseppe Sessa
Cassidy Hardin
...
Noah Fiedel
Armand Joulin
Kathleen Kenealy
Robert Dadashi
Alek Andreev
VLMMoEOSLM
123
873
0
31 Jul 2024
Building Machines that Learn and Think with People
Building Machines that Learn and Think with People
Katherine M. Collins
Ilia Sucholutsky
Umang Bhatt
Kartik Chandra
Lionel Wong
...
Mark K. Ho
Vikash K. Mansinghka
Adrian Weller
Joshua B. Tenenbaum
Thomas Griffiths
103
35
0
22 Jul 2024
MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model
  Series
MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series
Ge Zhang
Scott Qu
Jiaheng Liu
Chenchen Zhang
Chenghua Lin
...
Zi-Kai Zhao
Jiajun Zhang
Wanli Ouyang
Wenhao Huang
Wenhu Chen
ELM
80
46
0
29 May 2024
On the Tip of the Tongue: Analyzing Conceptual Representation in Large
  Language Models with Reverse-Dictionary Probe
On the Tip of the Tongue: Analyzing Conceptual Representation in Large Language Models with Reverse-Dictionary Probe
Ningyu Xu
Qi Zhang
Menghan Zhang
Peng Qian
Xuanjing Huang
LRM
110
3
0
22 Feb 2024
Using Counterfactual Tasks to Evaluate the Generality of Analogical
  Reasoning in Large Language Models
Using Counterfactual Tasks to Evaluate the Generality of Analogical Reasoning in Large Language Models
Martha Lewis
Melanie Mitchell
ELMLRM
46
24
0
14 Feb 2024
OLMo: Accelerating the Science of Language Models
OLMo: Accelerating the Science of Language Models
Dirk Groeneveld
Iz Beltagy
Pete Walsh
Akshita Bhagia
Rodney Michael Kinney
...
Jesse Dodge
Kyle Lo
Luca Soldaini
Noah A. Smith
Hanna Hajishirzi
OSLM
185
406
0
01 Feb 2024
The Falcon Series of Open Language Models
The Falcon Series of Open Language Models
Ebtesam Almazrouei
Hamza Alobeidli
Abdulaziz Alshamsi
Alessandro Cappelli
Ruxandra-Aimée Cojocaru
...
Quentin Malartic
Daniele Mazzotta
Badreddine Noune
B. Pannier
Guilherme Penedo
AI4TSALM
150
443
0
28 Nov 2023
Does GPT-4 pass the Turing test?
Does GPT-4 pass the Turing test?
Cameron R. Jones
Benjamin K. Bergen
ELM
107
37
0
31 Oct 2023
Language Models Represent Space and Time
Language Models Represent Space and Time
Wes Gurnee
Max Tegmark
112
159
0
03 Oct 2023
Textbooks Are All You Need II: phi-1.5 technical report
Textbooks Are All You Need II: phi-1.5 technical report
Yuan-Fang Li
Sébastien Bubeck
Ronen Eldan
Allison Del Giorno
Suriya Gunasekar
Yin Tat Lee
ALMLRM
161
474
0
11 Sep 2023
Llama 2: Open Foundation and Fine-Tuned Chat Models
Llama 2: Open Foundation and Fine-Tuned Chat Models
Hugo Touvron
Louis Martin
Kevin R. Stone
Peter Albert
Amjad Almahairi
...
Sharan Narang
Aurelien Rodriguez
Robert Stojnic
Sergey Edunov
Thomas Scialom
AI4MHALM
305
11,894
0
18 Jul 2023
Pythia: A Suite for Analyzing Large Language Models Across Training and
  Scaling
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling
Stella Biderman
Hailey Schoelkopf
Quentin G. Anthony
Herbie Bradley
Kyle O'Brien
...
USVSN Sai Prashanth
Edward Raff
Aviya Skowron
Lintang Sutawika
Oskar van der Wal
103
1,285
0
03 Apr 2023
LLaMA: Open and Efficient Foundation Language Models
LLaMA: Open and Efficient Foundation Language Models
Hugo Touvron
Thibaut Lavril
Gautier Izacard
Xavier Martinet
Marie-Anne Lachaux
...
Faisal Azhar
Aurelien Rodriguez
Armand Joulin
Edouard Grave
Guillaume Lample
ALMPILM
1.5K
13,247
0
27 Feb 2023
Testing AI on language comprehension tasks reveals insensitivity to
  underlying meaning
Testing AI on language comprehension tasks reveals insensitivity to underlying meaning
Vittoria Dentella
Fritz Guenther
Elliot Murphy
G. Marcus
Evelina Leivada
ELM
96
29
0
23 Feb 2023
Creating a Large Language Model of a Philosopher
Creating a Large Language Model of a Philosopher
Eric Schwitzgebel
David Schwitzgebel
A. Strasser
DeLMOAI4CE
63
61
0
02 Feb 2023
Emergent Analogical Reasoning in Large Language Models
Emergent Analogical Reasoning in Large Language Models
Taylor Webb
K. Holyoak
Hongjing Lu
ReLMELMLRMAI4CE
101
309
0
19 Dec 2022
Thinking Fast and Slow in Large Language Models
Thinking Fast and Slow in Large Language Models
Thilo Hagendorff
Sarah Fabi
Michal Kosinski
LLMAGLRM
53
154
0
10 Dec 2022
The Debate Over Understanding in AI's Large Language Models
The Debate Over Understanding in AI's Large Language Models
Melanie Mitchell
D. Krakauer
ELM
123
216
0
14 Oct 2022
Meaning without reference in large language models
Meaning without reference in large language models
S. Piantadosi
Felix Hill
65
77
0
05 Aug 2022
Using cognitive psychology to understand GPT-3
Using cognitive psychology to understand GPT-3
Marcel Binz
Eric Schulz
ELMLLMAG
331
477
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
ELMReLMLRM
279
2,480
0
15 Jun 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
100
63
0
02 May 2022
OPT: Open Pre-trained Transformer Language Models
OPT: Open Pre-trained Transformer Language Models
Susan Zhang
Stephen Roller
Naman Goyal
Mikel Artetxe
Moya Chen
...
Daniel Simig
Punit Singh Koura
Anjali Sridhar
Tianlu Wang
Luke Zettlemoyer
VLMOSLMAI4CE
336
3,667
0
02 May 2022
STaR: Bootstrapping Reasoning With Reasoning
STaR: Bootstrapping Reasoning With Reasoning
E. Zelikman
Yuhuai Wu
Jesse Mu
Noah D. Goodman
ReLMLRM
140
488
0
28 Mar 2022
Abstraction and Analogy-Making in Artificial Intelligence
Abstraction and Analogy-Making in Artificial Intelligence
Melanie Mitchell
77
167
0
22 Feb 2021
Word meaning in minds and machines
Word meaning in minds and machines
Brenden M. Lake
G. Murphy
NAI
63
118
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
814
42,055
0
28 May 2020
Scaling Laws for Neural Language Models
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
608
4,822
0
23 Jan 2020
Correlation Coefficients and Semantic Textual Similarity
Correlation Coefficients and Semantic Textual Similarity
V. Zhelezniak
Aleksandar Savkov
April Shen
Nils Y. Hammerla
63
50
0
19 May 2019
Learning Word Vectors for 157 Languages
Learning Word Vectors for 157 Languages
Edouard Grave
Piotr Bojanowski
Prakhar Gupta
Armand Joulin
Tomas Mikolov
SSLFaML
95
1,429
0
19 Feb 2018
Learning to Understand Phrases by Embedding the Dictionary
Learning to Understand Phrases by Embedding the Dictionary
Felix Hill
Kyunghyun Cho
Anna Korhonen
Yoshua Bengio
NAI
72
194
0
02 Apr 2015
SimLex-999: Evaluating Semantic Models with (Genuine) Similarity
  Estimation
SimLex-999: Evaluating Semantic Models with (Genuine) Similarity Estimation
Felix Hill
Roi Reichart
Anna Korhonen
101
1,303
0
15 Aug 2014
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAIOCL
397
33,550
0
16 Oct 2013
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