ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2310.02207
  4. Cited By
Language Models Represent Space and Time

Language Models Represent Space and Time

3 October 2023
Wes Gurnee
Max Tegmark
ArXivPDFHTML

Papers citing "Language Models Represent Space and Time"

50 / 119 papers shown
Title
Revealing economic facts: LLMs know more than they say
Revealing economic facts: LLMs know more than they say
Marcus Buckmann
Quynh Anh Nguyen
Edward Hill
28
0
0
13 May 2025
Performance Gains of LLMs With Humans in a World of LLMs Versus Humans
Performance Gains of LLMs With Humans in a World of LLMs Versus Humans
Lucas McCullum
Pelagie Ami Agassi
L. A. Celi
Daniel K. Ebner
Chrystinne Oliveira Fernandes
Rachel S. Hicklen
Mkliwa Koumbia
Lisa Soleymani Lehmann
David Restrepo
19
0
0
13 May 2025
Geospatial Mechanistic Interpretability of Large Language Models
Geospatial Mechanistic Interpretability of Large Language Models
Stef De Sabbata
Stefano Mizzaro
Kevin Roitero
AI4CE
37
0
0
06 May 2025
Do Large Language Models know who did what to whom?
Do Large Language Models know who did what to whom?
Joseph M. Denning
Xiaohan
Bryor Snefjella
Idan A. Blank
62
1
0
23 Apr 2025
Steering Prosocial AI Agents: Computational Basis of LLM's Decision Making in Social Simulation
Steering Prosocial AI Agents: Computational Basis of LLM's Decision Making in Social Simulation
Ji Ma
37
0
0
16 Apr 2025
ThoughtProbe: Classifier-Guided Thought Space Exploration Leveraging LLM Intrinsic Reasoning
ThoughtProbe: Classifier-Guided Thought Space Exploration Leveraging LLM Intrinsic Reasoning
Zijian Wang
Chang Xu
LRM
30
1
0
09 Apr 2025
Neuron-level Balance between Stability and Plasticity in Deep Reinforcement Learning
Neuron-level Balance between Stability and Plasticity in Deep Reinforcement Learning
Jiahua Lan
Sen Zhang
Haixia Pan
Ruijun Liu
Li Shen
Dacheng Tao
CLL
28
0
0
09 Apr 2025
The Zero Body Problem: Probing LLM Use of Sensory Language
The Zero Body Problem: Probing LLM Use of Sensory Language
Rebecca M. M. Hicke
Sil Hamilton
David M. Mimno
26
0
0
08 Apr 2025
Language Models Are Implicitly Continuous
Language Models Are Implicitly Continuous
Samuele Marro
Davide Evangelista
X. A. Huang
Emanuele La Malfa
M. Lombardi
Michael Wooldridge
33
0
0
04 Apr 2025
How Deep Do Large Language Models Internalize Scientific Literature and Citation Practices?
How Deep Do Large Language Models Internalize Scientific Literature and Citation Practices?
Andres Algaba
Vincent Holst
Floriano Tori
Melika Mobini
Brecht Verbeken
Sylvia Wenmackers
Vincent Ginis
41
1
0
03 Apr 2025
Is the Reversal Curse a Binding Problem? Uncovering Limitations of Transformers from a Basic Generalization Failure
Is the Reversal Curse a Binding Problem? Uncovering Limitations of Transformers from a Basic Generalization Failure
Boshi Wang
Huan Sun
34
2
0
02 Apr 2025
Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and Roadmap
Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and Roadmap
Tong Nie
Jian-jun Sun
Wei Ma
69
1
0
27 Mar 2025
Towards LLM Guardrails via Sparse Representation Steering
Towards LLM Guardrails via Sparse Representation Steering
Zeqing He
Zhibo Wang
Huiyu Xu
Kui Ren
LLMSV
52
1
0
21 Mar 2025
Using the Tools of Cognitive Science to Understand Large Language Models at Different Levels of Analysis
Using the Tools of Cognitive Science to Understand Large Language Models at Different Levels of Analysis
Alexander Ku
Declan Campbell
Xuechunzi Bai
Jiayi Geng
Ryan Liu
...
Ilia Sucholutsky
Veniamin Veselovsky
Liyi Zhang
Jian-Qiao Zhu
Thomas L. Griffiths
ELM
90
3
0
17 Mar 2025
Chain-of-Thought Reasoning In The Wild Is Not Always Faithful
Chain-of-Thought Reasoning In The Wild Is Not Always Faithful
Iván Arcuschin
Jett Janiak
Robert Krzyzanowski
Senthooran Rajamanoharan
Neel Nanda
Arthur Conmy
LRM
ReLM
63
6
0
11 Mar 2025
Exploring Multimodal Perception in Large Language Models Through Perceptual Strength Ratings
Jonghyun Lee
Dojun Park
Jiwoo Lee
Hoekeon Choi
Sung-Eun Lee
61
1
0
10 Mar 2025
Towards Understanding Distilled Reasoning Models: A Representational Approach
Towards Understanding Distilled Reasoning Models: A Representational Approach
David D. Baek
Max Tegmark
LRM
80
3
0
05 Mar 2025
The MASK Benchmark: Disentangling Honesty From Accuracy in AI Systems
The MASK Benchmark: Disentangling Honesty From Accuracy in AI Systems
Richard Ren
Arunim Agarwal
Mantas Mazeika
Cristina Menghini
Robert Vacareanu
...
Matias Geralnik
Adam Khoja
Dean Lee
Summer Yue
Dan Hendrycks
HILM
ALM
90
0
0
05 Mar 2025
Linear Representations of Political Perspective Emerge in Large Language Models
Linear Representations of Political Perspective Emerge in Large Language Models
Junsol Kim
James Evans
Aaron Schein
77
2
0
03 Mar 2025
The Relationship Between Reasoning and Performance in Large Language Models -- o3 (mini) Thinks Harder, Not Longer
The Relationship Between Reasoning and Performance in Large Language Models -- o3 (mini) Thinks Harder, Not Longer
Marthe Ballon
Andres Algaba
Vincent Ginis
LRM
ReLM
41
4
0
24 Feb 2025
The Geometry of Refusal in Large Language Models: Concept Cones and Representational Independence
The Geometry of Refusal in Large Language Models: Concept Cones and Representational Independence
Tom Wollschlager
Jannes Elstner
Simon Geisler
Vincent Cohen-Addad
Stephan Günnemann
Johannes Gasteiger
LLMSV
64
0
0
24 Feb 2025
From Text to Space: Mapping Abstract Spatial Models in LLMs during a Grid-World Navigation Task
From Text to Space: Mapping Abstract Spatial Models in LLMs during a Grid-World Navigation Task
Nicolas Martorell
LLMAG
61
1
0
23 Feb 2025
Are Sparse Autoencoders Useful? A Case Study in Sparse Probing
Are Sparse Autoencoders Useful? A Case Study in Sparse Probing
Subhash Kantamneni
Joshua Engels
Senthooran Rajamanoharan
Max Tegmark
Neel Nanda
59
5
0
23 Feb 2025
Lines of Thought in Large Language Models
Lines of Thought in Large Language Models
Raphael Sarfati
Toni J. B. Liu
Nicolas Boullé
Christopher Earls
LRM
VLM
LM&Ro
66
1
0
17 Feb 2025
The Representation and Recall of Interwoven Structured Knowledge in LLMs: A Geometric and Layered Analysis
The Representation and Recall of Interwoven Structured Knowledge in LLMs: A Geometric and Layered Analysis
Ge Lei
Samuel J. Cooper
KELM
49
0
0
15 Feb 2025
Harmonic Loss Trains Interpretable AI Models
Harmonic Loss Trains Interpretable AI Models
David D. Baek
Ziming Liu
Riya Tyagi
Max Tegmark
97
2
0
03 Feb 2025
What is a Number, That a Large Language Model May Know It?
What is a Number, That a Large Language Model May Know It?
Raja Marjieh
Veniamin Veselovsky
Thomas L. Griffiths
Ilia Sucholutsky
165
2
0
03 Feb 2025
Judge Decoding: Faster Speculative Sampling Requires Going Beyond Model Alignment
Judge Decoding: Faster Speculative Sampling Requires Going Beyond Model Alignment
Gregor Bachmann
Sotiris Anagnostidis
Albert Pumarola
Markos Georgopoulos
A. Sanakoyeu
Yuming Du
Edgar Schönfeld
Ali K. Thabet
Jonas Kohler
ALM
BDL
93
6
0
31 Jan 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
70
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
K. M. Collins
Umang Bhatt
Ilia Sucholutsky
46
1
0
16 Jan 2025
ICLR: In-Context Learning of Representations
ICLR: In-Context Learning of Representations
Core Francisco Park
Andrew Lee
Ekdeep Singh Lubana
Yongyi Yang
Maya Okawa
Kento Nishi
Martin Wattenberg
Hidenori Tanaka
AIFin
118
3
0
29 Dec 2024
Advancing Large Language Models for Spatiotemporal and Semantic
  Association Mining of Similar Environmental Events
Advancing Large Language Models for Spatiotemporal and Semantic Association Mining of Similar Environmental Events
Yuanyuan Tian
Wenwen Li
Lei Hu
X. Chen
Michael Brook
Michael Brubaker
Fan Zhang
A. Liljedahl
KELM
83
1
0
19 Nov 2024
JailbreakLens: Interpreting Jailbreak Mechanism in the Lens of Representation and Circuit
Zeqing He
Zhibo Wang
Zhixuan Chu
Huiyu Xu
Rui Zheng
Kui Ren
Chun Chen
54
3
0
17 Nov 2024
All or None: Identifiable Linear Properties of Next-token Predictors in Language Modeling
All or None: Identifiable Linear Properties of Next-token Predictors in Language Modeling
Emanuele Marconato
Sébastien Lachapelle
Sebastian Weichwald
Luigi Gresele
69
3
0
30 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
34
1
0
22 Oct 2024
Improving Instruction-Following in Language Models through Activation Steering
Improving Instruction-Following in Language Models through Activation Steering
Alessandro Stolfo
Vidhisha Balachandran
Safoora Yousefi
Eric Horvitz
Besmira Nushi
LLMSV
62
14
0
15 Oct 2024
Generalization from Starvation: Hints of Universality in LLM Knowledge
  Graph Learning
Generalization from Starvation: Hints of Universality in LLM Knowledge Graph Learning
David D. Baek
Yuxiao Li
Max Tegmark
44
2
0
10 Oct 2024
The Geometry of Concepts: Sparse Autoencoder Feature Structure
The Geometry of Concepts: Sparse Autoencoder Feature Structure
Yuxiao Li
Eric J. Michaud
David D. Baek
Joshua Engels
Xiaoqing Sun
Max Tegmark
52
7
0
10 Oct 2024
Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax
Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax
I. Butakov
Alexander Sememenko
Alexander Tolmachev
Andrey Gladkov
Marina Munkhoeva
Alexey Frolov
37
0
0
09 Oct 2024
Sparse Attention Decomposition Applied to Circuit Tracing
Sparse Attention Decomposition Applied to Circuit Tracing
Gabriel Franco
Mark Crovella
31
0
0
01 Oct 2024
Investigating OCR-Sensitive Neurons to Improve Entity Recognition in
  Historical Documents
Investigating OCR-Sensitive Neurons to Improve Entity Recognition in Historical Documents
Emanuela Boros
Maud Ehrmann
33
0
0
25 Sep 2024
Optimal ablation for interpretability
Optimal ablation for interpretability
Maximilian Li
Lucas Janson
FAtt
49
2
0
16 Sep 2024
Towards understanding evolution of science through language model series
Towards understanding evolution of science through language model series
Junjie Dong
Zhuoqi Lyu
Qing Ke
AI4TS
35
0
0
15 Sep 2024
Programming Refusal with Conditional Activation Steering
Programming Refusal with Conditional Activation Steering
Bruce W. Lee
Inkit Padhi
K. Ramamurthy
Erik Miehling
Pierre L. Dognin
Manish Nagireddy
Amit Dhurandhar
LLMSV
102
13
0
06 Sep 2024
The representation landscape of few-shot learning and fine-tuning in
  large language models
The representation landscape of few-shot learning and fine-tuning in large language models
Diego Doimo
Alessandro Serra
A. Ansuini
Alberto Cazzaniga
90
4
0
05 Sep 2024
Modularity in Transformers: Investigating Neuron Separability &
  Specialization
Modularity in Transformers: Investigating Neuron Separability & Specialization
Nicholas Pochinkov
Thomas Jones
Mohammed Rashidur Rahman
29
0
0
30 Aug 2024
Joint Estimation and Prediction of City-wide Delivery Demand: A Large Language Model Empowered Graph-based Learning Approach
Joint Estimation and Prediction of City-wide Delivery Demand: A Large Language Model Empowered Graph-based Learning Approach
Tong Nie
Junlin He
Yuewen Mei
Guoyang Qin
Guilong Li
Jian Sun
Wei Ma
34
3
0
30 Aug 2024
Multilevel Interpretability Of Artificial Neural Networks: Leveraging
  Framework And Methods From Neuroscience
Multilevel Interpretability Of Artificial Neural Networks: Leveraging Framework And Methods From Neuroscience
Zhonghao He
Jascha Achterberg
Katie Collins
Kevin K. Nejad
Danyal Akarca
...
Chole Li
Kai J. Sandbrink
Stephen Casper
Anna Ivanova
Grace W. Lindsay
AI4CE
28
1
0
22 Aug 2024
D-RMGPT: Robot-assisted collaborative tasks driven by large multimodal
  models
D-RMGPT: Robot-assisted collaborative tasks driven by large multimodal models
Matteo Forlini
Mihail Babcinschi
Giacomo Palmieri
Pedro Neto
29
1
0
21 Aug 2024
Understanding Generative AI Content with Embedding Models
Understanding Generative AI Content with Embedding Models
Max Vargas
Reilly Cannon
A. Engel
Anand D. Sarwate
Tony Chiang
52
3
0
19 Aug 2024
123
Next