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Large language models(LLMs), with their powerful language generation and reasoning capabilities, have already achieved notable success in many domains, e.g., math and code generation.
Language models are few-shot learners
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Discovering regions of different functions in a city using human mobility and POIs. In
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The cognitive map in humans: spatial navigation and beyond
Russell A Epstein, Eva Zita Patai, Joshua B Julian, and Hugo J Spiers. 2017 · 2017
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Template-based question answering over linked geospatial data. In
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Measuring massive multitask language understanding
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Training verifiers to solve math word problems
Karl Cobbe, Vineet Kosaraju, Mohammad Bavarian, Mark Chen, Heewoo Jun, Lukasz Kaiser, Matthias Plappert, Jerry Tworek, Jacob Hilton, Reiichiro Nakano, et al · 2021
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Geographic question answering: challenges, uniqueness, classification, and future directions
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Entropy of city street networks linked to future spatial navigation ability
Antoine Coutrot, Ed Manley, Sarah Goodroe, Christoffer Gahnstrom, Gabriele Filomena, Demet Yesiltepe, Ruth Conroy Dalton, Jan M Wiener, Christoph Hölscher, Michael Hornberger, et al · 2022
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Accelerate: Training and inference at scale made simple, efficient and adaptable
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ERNIE-GeoL: A Geography-and-Language Pre-trained Model and its Applications in Baidu Maps. In
Jizhou Huang, Haifeng Wang, Yibo Sun, Yunsheng Shi, Zhengjie Huang, An Zhuo, and Shikun Feng. 2022 · 2022
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Pre-trained language models for interactive decision-making
Shuang Li, Xavier Puig, Chris Paxton, Yilun Du, Clinton Wang, Linxi Fan, Tao Chen, De-An Huang, Ekin Akyürek, Anima Anandkumar, et al · 2022
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SpaBERT: A Pretrained Language Model from Geographic Data for Geo-Entity Representation
Zekun Li, Jina Kim, Yao-Yi Chiang, and Muhao Chen. 2022a · 2022
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Transfer learning with synthetic corpora for spatial role labeling and reasoning
Roshanak Mirzaee and Parisa Kordjamshidi. 2022 · 2022
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Introducing ChatGPT
OpenAI. 2022 · 2022
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Stepgame: A new benchmark for robust multi-hop spatial reasoning in texts. In
Zhengxiang Shi, Qiang Zhang, and Aldo Lipani. 2022 · 2022
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Challenging big-bench tasks and whether chain-of-thought can solve them
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Emergent abilities of large language models
Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, et al · 2022
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Glm-130b: An open bilingual pre-trained model
Aohan Zeng, Xiao Liu, Zhengxiao Du, Zihan Wang, Hanyu Lai, Ming Ding, Zhuoyi Yang, Yifan Xu, Wendi Zheng, Xiao Xia, et al · 2022
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Josh Achiam, Steven Adler, Sandhini Agarwal, and et al. 2023 · 2023
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Llemma: An open language model for mathematics
Zhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, and et al. 2023 · 2023
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Jinze Bai, Shuai Bai, Yunfei Chu, and et al. 2023 · 2023
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Are large language models geospatially knowledgeable?. In
Prabin Bhandari, Antonios Anastasopoulos, and Dieter Pfoser. 2023 · 2023
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OpenCompass: A Universal Evaluation Platform for Foundation Models
OpenCompass Contributors. 2023 · 2023
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Where would i go next? large language models as human mobility predictors
Xinglei Wang, Meng Fang, Zichao Zeng, and Tao Cheng. 2023a · 2023
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Optimizing and Fine-tuning Large Language Model for Urban Renewal
Xi Wang, Xianyao Ling, Tom Zhang, Xuecao Li, Shaolan Wang, Zhixing Li, Liang Zhang, and Peng Gong. 2023b · 2023
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Bloomberggpt: A large language model for finance
Shijie Wu, Ozan Irsoy, Steven Lu, Vadim Dabravolski, Mark Dredze, Sebastian Gehrmann, Prabhanjan Kambadur, David Rosenberg, and Gideon Mann. 2023 · 2023
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Large language models for generative information extraction: A survey
Derong Xu, Wei Chen, Wenjun Peng, Chao Zhang, Tong Xu, Xiangyu Zhao, Xian Wu, Yefeng Zheng, and Enhong Chen. 2023 · 2023
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Ning Ding, Yulin Chen, Bokai Xu, Yujia Qin, Zhi Zheng, Shengding Hu, Zhiyuan Liu, Maosong Sun, and Bowen Zhou. 2023 · 2023
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How abilities in large language models are affected by supervised fine-tuning data composition
Guanting Dong, Hongyi Yuan, Keming Lu, Chengpeng Li, Mingfeng Xue, Dayiheng Liu, Wei Wang, Zheng Yuan, Chang Zhou, and Jingren Zhou. 2023 · 2023
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From cognitive maps to spatial schemas
Delaram Farzanfar, Hugo J Spiers, Morris Moscovitch, and R Shayna Rosenbaum. 2023 · 2023
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Language models represent space and time
Wes Gurnee and Max Tegmark. 2023 · 2023
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Efficient memory management for large language model serving with pagedattention. In
Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph Gonzalez, Hao Zhang, and Ion Stoica. 2023 · 2023
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Platypus: Quick, cheap, and powerful refinement of llms
Ariel N Lee, Cole J Hunter, and Nataniel Ruiz. 2023 · 2023
Cited alongside, same era.
Geoglue: A geographic language understanding evaluation benchmark
Dongyang Li, Ruixue Ding, Qiang Zhang, Zheng Li, Boli Chen, Pengjun Xie, Yao Xu, Xin Li, Ning Guo, Fei Huang, et al · 2023
Cited alongside, same era.
Yutaro Yamada, Yihan Bao, Andrew K Lampinen, Jungo Kasai, and Ilker Yildirim. 2023 · 2023
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Agenttuning: Enabling generalized agent abilities for llms
Aohan Zeng, Mingdao Liu, Rui Lu, Bowen Wang, Xiao Liu, Yuxiao Dong, and Jie Tang. 2023 · 2023
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A survey of large language models
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, et al · 2023
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LAMP: A Language Model on the Map
Pasquale Balsebre, Weiming Huang, and Gao Cong. 2024 · 2024
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K2: A foundation language model for geoscience knowledge understanding and utilization. In
Cheng Deng, Tianhang Zhang, Zhongmou He, Qiyuan Chen, Yuanyuan Shi, Yi Xu, Luoyi Fu, Weinan Zhang, Xinbing Wang, Chenghu Zhou, et al · 2024
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Understanding World or Predicting Future? A Comprehensive Survey of World Models
Jingtao Ding, Yunke Zhang, Yu Shang, Yuheng Zhang, Zefang Zong, Jie Feng, Yuan Yuan, Hongyuan Su, Nian Li, Nicholas Sukiennik, et al · 2024
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Abhimanyu Dubey, Abhinav Jauhri, et al · 2024
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On the Scaling Laws of Geographical Representation in Language Models
Nathan Godey, Éric de la Clergerie, and Benoît Sagot. 2024 · 2024
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Large language models are geographically biased
Rohin Manvi, Samar Khanna, Marshall Burke, David Lobell, and Stefano Ermon. 2024 · 2024
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Introducing Meta Llama 3: The most capable openly available LLM to date
Meta. 2024 · 2024
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Evaluating cognitive maps and planning in large language models with CogEval
Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Nebojsa Jojic, Hamid Palangi, Robert Ness, and Jonathan Larson. 2024 · 2024
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Beyond Imitation: Generating Human Mobility from Context-aware Reasoning with Large Language Models
Chenyang Shao, Fengli Xu, Bingbing Fan, Jingtao Ding, Yuan Yuan, Meng Wang, and Yong Li. 2024 · 2024
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Language models meet world models: Embodied experiences enhance language models
Jiannan Xiang, Tianhua Tao, Yi Gu, Tianmin Shu, Zirui Wang, Zichao Yang, and Zhiting Hu. 2024 · 2024
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Mistral Small 3
Mistral AI team. 2025 · 2025
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How to Enable LLM with 3D Capacity? A Survey of Spatial Reasoning in LLM
Jirong Zha, Yuxuan Fan, Xiao Yang, Chen Gao, and Xinlei Chen. 2025 · 2025
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