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Geospatial Mechanistic Interpretability of Large Language Models
v1v2 (latest)

Geospatial Mechanistic Interpretability of Large Language Models

6 May 2025
Stef De Sabbata
Stefano Mizzaro
Kevin Roitero
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Geospatial Mechanistic Interpretability of Large Language Models"

39 / 39 papers shown
Title
Scaling LLM Test-Time Compute Optimally can be More Effective than
  Scaling Model Parameters
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
Charlie Snell
Jaehoon Lee
Kelvin Xu
Aviral Kumar
LRM
198
698
0
06 Aug 2024
Evaluating the Ability of Large Language Models to Reason about Cardinal
  Directions
Evaluating the Ability of Large Language Models to Reason about Cardinal Directions
Anthony G Cohn
Robert E Blackwell
93
8
0
24 Jun 2024
CityGPT: Empowering Urban Spatial Cognition of Large Language Models
CityGPT: Empowering Urban Spatial Cognition of Large Language Models
Jie Feng
Tianhui Liu
Junbo Yan
Siqi Guo
Yuming Lin
Yong Li
113
16
0
20 Jun 2024
Scaling and evaluating sparse autoencoders
Scaling and evaluating sparse autoencoders
Leo Gao
Tom Dupré la Tour
Henk Tillman
Gabriel Goh
Rajan Troll
Alec Radford
Ilya Sutskever
Jan Leike
Jeffrey Wu
83
160
0
06 Jun 2024
Evaluation of Geographical Distortions in Language Models: A Crucial
  Step Towards Equitable Representations
Evaluation of Geographical Distortions in Language Models: A Crucial Step Towards Equitable Representations
R. Decoupes
R. Interdonato
Mathieu Roche
M. Teisseire
S. Valentin
66
2
0
26 Apr 2024
GeoLLM-Engine: A Realistic Environment for Building Geospatial Copilots
GeoLLM-Engine: A Realistic Environment for Building Geospatial Copilots
Simranjit Singh
Michael Fore
Dimitrios Stamoulis
LLMAG
65
12
0
23 Apr 2024
Mechanistic Interpretability for AI Safety -- A Review
Mechanistic Interpretability for AI Safety -- A Review
Leonard Bereska
E. Gavves
AI4CE
127
158
0
22 Apr 2024
Do Sentence Transformers Learn Quasi-Geospatial Concepts from General
  Text?
Do Sentence Transformers Learn Quasi-Geospatial Concepts from General Text?
Ilya Ilyankou
Aldo Lipani
Stefano Cavazzi
Xiaowei Gao
James Haworth
33
2
0
05 Apr 2024
Where to Move Next: Zero-shot Generalization of LLMs for Next POI
  Recommendation
Where to Move Next: Zero-shot Generalization of LLMs for Next POI Recommendation
Shanshan Feng
Haoming Lyu
Caishun Chen
Yew-Soon Ong
LRM
75
13
0
02 Apr 2024
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models
Samuel Marks
Can Rager
Eric J. Michaud
Yonatan Belinkov
David Bau
Aaron Mueller
138
159
0
28 Mar 2024
On the Scaling Laws of Geographical Representation in Language Models
On the Scaling Laws of Geographical Representation in Language Models
Nathan Godey
Eric Villemonte de la Clergerie
Benoît Sagot
92
8
0
29 Feb 2024
Tokenization counts: the impact of tokenization on arithmetic in
  frontier LLMs
Tokenization counts: the impact of tokenization on arithmetic in frontier LLMs
Aaditya K. Singh
DJ Strouse
105
61
0
22 Feb 2024
Distortions in Judged Spatial Relations in Large Language Models
Distortions in Judged Spatial Relations in Large Language Models
N. Fulman
Abdulkadir Memduhoğlu
Alexander Zipf
83
11
0
08 Jan 2024
Advancing Spatial Reasoning in Large Language Models: An In-Depth
  Evaluation and Enhancement Using the StepGame Benchmark
Advancing Spatial Reasoning in Large Language Models: An In-Depth Evaluation and Enhancement Using the StepGame Benchmark
Fangjun Li
David C. Hogg
Anthony G. Cohn
LRM
94
32
0
08 Jan 2024
More than Correlation: Do Large Language Models Learn Causal
  Representations of Space?
More than Correlation: Do Large Language Models Learn Causal Representations of Space?
Yida Chen
Yixian Gan
Sijia Li
Li Yao
Xiaohan Zhao
LRM
64
6
0
26 Dec 2023
On the Promises and Challenges of Multimodal Foundation Models for
  Geographical, Environmental, Agricultural, and Urban Planning Applications
On the Promises and Challenges of Multimodal Foundation Models for Geographical, Environmental, Agricultural, and Urban Planning Applications
Chenjiao Tan
Qian Cao
Yiwei Li
Jielu Zhang
Xiao Yang
...
Ninghao Liu
Changying Li
Lan Mu
Tianming Liu
Gengchen Mai
70
12
0
23 Dec 2023
Charting New Territories: Exploring the Geographic and Geospatial
  Capabilities of Multimodal LLMs
Charting New Territories: Exploring the Geographic and Geospatial Capabilities of Multimodal LLMs
Jonathan Roberts
Timo Lüddecke
Rehan Sheikh
Kai Han
Samuel Albanie
MLLM
64
30
0
24 Nov 2023
Identifying Linear Relational Concepts in Large Language Models
Identifying Linear Relational Concepts in Large Language Models
David Chanin
Anthony Hunter
Oana-Maria Camburu
LLMSVKELM
60
4
0
15 Nov 2023
Mistral 7B
Mistral 7B
Albert Q. Jiang
Alexandre Sablayrolles
A. Mensch
Chris Bamford
Devendra Singh Chaplot
...
Teven Le Scao
Thibaut Lavril
Thomas Wang
Timothée Lacroix
William El Sayed
MoELRM
110
2,238
0
10 Oct 2023
Are Large Language Models Geospatially Knowledgeable?
Are Large Language Models Geospatially Knowledgeable?
Prabin Bhandari
Antonios Anastasopoulos
Dieter Pfoser
LRM
65
37
0
09 Oct 2023
Language Models Represent Space and Time
Language Models Represent Space and Time
Wes Gurnee
Max Tegmark
129
167
0
03 Oct 2023
GPT4GEO: How a Language Model Sees the World's Geography
GPT4GEO: How a Language Model Sees the World's Geography
Jonathan Roberts
Timo Lüddecke
Sowmen Das
Kai Han
Samuel Albanie
65
64
0
30 May 2023
Autonomous GIS: the next-generation AI-powered GIS
Autonomous GIS: the next-generation AI-powered GIS
Zhenlong Li
H. Ning
SyDaLLMAG
75
85
0
10 May 2023
Dialectical language model evaluation: An initial appraisal of the
  commonsense spatial reasoning abilities of LLMs
Dialectical language model evaluation: An initial appraisal of the commonsense spatial reasoning abilities of LLMs
Anthony G. Cohn
Jose Hernandez-Orallo
ELMReLMLRM
59
26
0
22 Apr 2023
Interpretability in the Wild: a Circuit for Indirect Object
  Identification in GPT-2 small
Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small
Kevin Wang
Alexandre Variengien
Arthur Conmy
Buck Shlegeris
Jacob Steinhardt
314
563
0
01 Nov 2022
Probing for Constituency Structure in Neural Language Models
Probing for Constituency Structure in Neural Language Models
David Arps
Younes Samih
Laura Kallmeyer
Hassan Sajjad
52
13
0
13 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
OSLMALM
888
13,207
0
04 Mar 2022
Do Language Models Know the Way to Rome?
Do Language Models Know the Way to Rome?
Bastien Liétard
Mostafa Abdou
Anders Søgaard
101
20
0
16 Sep 2021
Syntactic Perturbations Reveal Representational Correlates of
  Hierarchical Phrase Structure in Pretrained Language Models
Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models
Matteo Alleman
J. Mamou
Miguel Rio
Hanlin Tang
Yoon Kim
SueYeon Chung
NAI
86
17
0
15 Apr 2021
Discourse Probing of Pretrained Language Models
Discourse Probing of Pretrained Language Models
Fajri Koto
Jey Han Lau
Tim Baldwin
70
53
0
13 Apr 2021
Probing Classifiers: Promises, Shortcomings, and Advances
Probing Classifiers: Promises, Shortcomings, and Advances
Yonatan Belinkov
303
456
0
24 Feb 2021
Probing Pretrained Language Models for Lexical Semantics
Probing Pretrained Language Models for Lexical Semantics
Ivan Vulić
Edoardo Ponti
Robert Litschko
Goran Glavaš
Anna Korhonen
KELM
76
246
0
12 Oct 2020
Pooling Methods in Deep Neural Networks, a Review
Pooling Methods in Deep Neural Networks, a Review
Hossein Gholamalinezhad
H. Khosravi
200
224
0
16 Sep 2020
Fine-Tuning Language Models from Human Preferences
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler
Nisan Stiennon
Jeff Wu
Tom B. Brown
Alec Radford
Dario Amodei
Paul Christiano
G. Irving
ALM
488
1,768
0
18 Sep 2019
Do NLP Models Know Numbers? Probing Numeracy in Embeddings
Do NLP Models Know Numbers? Probing Numeracy in Embeddings
Eric Wallace
Yizhong Wang
Sujian Li
Sameer Singh
Matt Gardner
75
265
0
17 Sep 2019
Probing What Different NLP Tasks Teach Machines about Function Word
  Comprehension
Probing What Different NLP Tasks Teach Machines about Function Word Comprehension
Najoung Kim
Roma Patel
Adam Poliak
Alex Jinpeng Wang
Patrick Xia
...
Alexis Ross
Tal Linzen
Benjamin Van Durme
Samuel R. Bowman
Ellie Pavlick
71
107
0
25 Apr 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
VLMSSLSSeg
1.8K
95,229
0
11 Oct 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
803
132,454
0
12 Jun 2017
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OODSSL
286
12,460
0
24 Jun 2012
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