Cover Image

GeoCode-GPT: A Large Language Model for Geospatial Code Generation Tasks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hou, Shuyang, Shen, Zhangxiao, Zhao, Anqi, Liang, Jianyuan, Gui, Zhipeng, Guan, Xuefeng, Li, Rui, Wu, Huayi
Format:	Preprint
Published:	2024
Subjects:	Software Engineering Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Can Large Language Models Generate Geospatial Code?
by: Hou, Shuyang, et al.
Published: (2024)

Geo-FuB: A Method for Constructing an Operator-Function Knowledge Base for Geospatial Code Generation Tasks Using Large Language Models
by: Hou, Shuyang, et al.
Published: (2024)

Chain-of-Programming (CoP) : Empowering Large Language Models for Geospatial Code Generation
by: Hou, Shuyang, et al.
Published: (2024)

GEE-OPs: An Operator Knowledge Base for Geospatial Code Generation on the Google Earth Engine Platform Powered by Large Language Models
by: Hou, Shuyang, et al.
Published: (2024)

AutoGEEval++: A Multi-Level and Multi-Geospatial-Modality Automated Evaluation Framework for Large Language Models in Geospatial Code Generation on Google Earth Engine
by: Hou, Shuyang, et al.
Published: (2025)

AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models
by: Hou, Shuyang, et al.
Published: (2025)

GeoJSEval: An Automated Evaluation Framework for Large Language Models on JavaScript-Based Geospatial Computation and Visualization Code Generation
by: Chen, Guanyu, et al.
Published: (2025)

Evaluation of Code LLMs on Geospatial Code Generation
by: Gramacki, Piotr, et al.
Published: (2024)

GeoSQL-Eval: First Evaluation of LLMs on PostGIS-Based NL2GeoSQL Queries
by: Hou, Shuyang, et al.
Published: (2025)

Instructive Code Retriever: Learn from Large Language Model's Feedback for Code Intelligence Tasks
by: Lu, Jiawei, et al.
Published: (2024)

A Survey on Evaluating Large Language Models in Code Generation Tasks
by: Chen, Liguo, et al.
Published: (2024)

Aligning Requirement for Large Language Model's Code Generation
by: Tian, Zhao, et al.
Published: (2025)

Task Abstention for Large Language Models in Code Generation
by: Zhou, Yanke, et al.
Published: (2026)

GeoJSON Agents:A Multi-Agent LLM Architecture for Geospatial Analysis-Function Calling vs Code Generation
by: Luo, Qianqian, et al.
Published: (2025)

Cross-Task Benchmarking and Evaluation of General-Purpose and Code-Specific Large Language Models
by: Das, Gunjan, et al.
Published: (2025)

TaskEval: Assessing Difficulty of Code Generation Tasks for Large Language Models
by: Tambon, Florian, et al.
Published: (2024)

Bridging Code Graphs and Large Language Models for Better Code Understanding
by: Chen, Zeqi, et al.
Published: (2025)

NoCodeGPT: A No-Code Interface for Building Web Apps with Language Models
by: Monteiro, Mauricio, et al.
Published: (2023)

Fixing Large Language Models' Specification Misunderstanding for Better Code Generation
by: Tian, Zhao, et al.
Published: (2023)

QuanBench: Benchmarking Quantum Code Generation with Large Language Models
by: Guo, Xiaoyu, et al.
Published: (2025)

Self-collaboration Code Generation via ChatGPT
by: Dong, Yihong, et al.
Published: (2023)

On the Effectiveness of Large Language Models in Domain-Specific Code Generation
by: Gu, Xiaodong, et al.
Published: (2023)

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation
by: Gui, Ningxin, et al.
Published: (2025)

No Need to Lift a Finger Anymore? Assessing the Quality of Code Generation by ChatGPT
by: Liu, Zhijie, et al.
Published: (2023)

WildCode: An Empirical Analysis of Code Generated by ChatGPT
by: Khanmohammadi, Kobra, et al.
Published: (2025)

Large Language Models for Code Generation: The Practitioners Perspective
by: Rasheed, Zeeshan, et al.
Published: (2025)

Optimizing Large Language Model Hyperparameters for Code Generation
by: Arora, Chetan, et al.
Published: (2024)

Self-planning Code Generation with Large Language Models
by: Jiang, Xue, et al.
Published: (2023)

Contextualized Code Pretraining for Code Generation
by: Liu, Chen, et al.
Published: (2026)

An Empirical Study of the Non-determinism of ChatGPT in Code Generation
by: Ouyang, Shuyin, et al.
Published: (2023)

Rethinking Code Complexity Through the Lens of Large Language Models
by: Xie, Chen, et al.
Published: (2026)

A Hybrid Approach for EMF Code Generation:Code Templates Meet Large Language Models
by: He, Xiao, et al.
Published: (2025)

Failure-Aware Enhancements for Large Language Model (LLM) Code Generation: An Empirical Study on Decision Framework
by: Shen, Jianru, et al.
Published: (2026)

SolEval: Benchmarking Large Language Models for Repository-level Solidity Code Generation
by: Peng, Zhiyuan, et al.
Published: (2025)

Code2API: A Tool for Generating Reusable APIs from Stack Overflow Code Snippets
by: Mai, Yubo, et al.
Published: (2025)

Whodunit: Classifying Code as Human Authored or GPT-4 Generated -- A case study on CodeChef problems
by: Idialu, Oseremen Joy, et al.
Published: (2024)

CODEPROMPTZIP: Code-specific Prompt Compression for Retrieval-Augmented Generation in Coding Tasks with LMs
by: He, Pengfei, et al.
Published: (2025)

Condor: A Code Discriminator Integrating General Semantics with Code Details
by: Liang, Qingyuan, et al.
Published: (2024)

What's Wrong with Your Code Generated by Large Language Models? An Extensive Study
by: Dou, Shihan, et al.
Published: (2024)

GramTrans: A Better Code Representation Approach in Code Generation
by: Zhang, Zhao, et al.
Published: (2025)