Cover Image

Can Large Language Models Generate Geospatial Code?

Fuente: arXiv

Saved in:

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

Similar Items

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

Can Large Language Models Serve as Evaluators for Code Summarization?
by: Wu, Yang, et al.
Published: (2024)

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

Narrowing the Complexity Gap in the Evaluation of Large Language Models
by: Chen, Yang, et al.
Published: (2026)

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

CodeJudge-Eval: Can Large Language Models be Good Judges in Code Understanding?
by: Zhao, Yuwei, 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)

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

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

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

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

Can LLMs Deobfuscate Binary Code? A Systematic Analysis of Large Language Models into Pseudocode Deobfuscation
by: Hu, Li, et al.
Published: (2026)

Can Large Language Models Model Programs Formally?
by: Chen, Zhiyong, et al.
Published: (2026)

A Preliminary Study on the Robustness of Code Generation by Large Language Models
by: Li, Zike, et al.
Published: (2025)

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

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

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

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

DCE-LLM: Dead Code Elimination with Large Language Models
by: Chen, Minyu, et al.
Published: (2025)

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

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

ClassEval-T: Evaluating Large Language Models in Class-Level Code Translation
by: Xue, Pengyu, et al.
Published: (2024)

RepoZero: Can LLMs Generate a Code Repository from Scratch?
by: Zhang, Zhaoxi, et al.
Published: (2026)

Efficient Code Analysis via Graph-Guided Large Language Models
by: Gao, Hang, et al.
Published: (2026)

Large Language Model Unlearning for Source Code
by: Jiang, Xue, et al.
Published: (2025)

V-GameGym: Visual Game Generation for Code Large Language Models
by: Zhang, Wei, et al.
Published: (2025)

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

Darkit: A User-Friendly Software Toolkit for Spiking Large Language Model
by: Du, Xin, et al.
Published: (2024)

Unraveling the Potential of Large Language Models in Code Translation: How Far Are We?
by: Tao, Qingxiao, et al.
Published: (2024)

Using Large Language Models for Commit Message Generation: A Preliminary Study
by: Zhang, Linghao, et al.
Published: (2024)

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

Automatic Smart Contract Comment Generation via Large Language Models and In-Context Learning
by: Zhao, Junjie, et al.
Published: (2023)