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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

26 April 2024
R. Decoupes
R. Interdonato
Mathieu Roche
M. Teisseire
S. Valentin
ArXivPDFHTML

Papers citing "Evaluation of Geographical Distortions in Language Models: A Crucial Step Towards Equitable Representations"

4 / 4 papers shown
Title
Geospatial Mechanistic Interpretability of Large Language Models
Geospatial Mechanistic Interpretability of Large Language Models
Stef De Sabbata
Stefano Mizzaro
Kevin Roitero
AI4CE
82
0
0
06 May 2025
On the Opportunities and Challenges of Foundation Models for Geospatial
  Artificial Intelligence
On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence
Gengchen Mai
Weiming Huang
Jin Sun
Suhang Song
Deepak Mishra
...
Yingjie Hu
Chris Cundy
Ziyuan Li
Rui Zhu
Ni Lao
AI4CE
58
126
0
13 Apr 2023
Unsupervised Cross-lingual Representation Learning at Scale
Unsupervised Cross-lingual Representation Learning at Scale
Alexis Conneau
Kartikay Khandelwal
Naman Goyal
Vishrav Chaudhary
Guillaume Wenzek
Francisco Guzmán
Edouard Grave
Myle Ott
Luke Zettlemoyer
Veselin Stoyanov
118
6,454
0
05 Nov 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
336
24,160
0
26 Jul 2019
1