Copertina

Darkit: A User-Friendly Software Toolkit for Spiking Large Language Model

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Du, Xin, Ye, Shifan, Zheng, Qian, Hu, Yangfan, Yan, Rui, Qi, Shunyu, Chen, Shuyang, Tang, Huajin, Pan, Gang, Deng, Shuiguang
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Software Engineering
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Toward Large-scale Spiking Neural Networks: A Comprehensive Survey and Future Directions
di: Hu, Yangfan, et al.
Pubblicazione: (2024)

Exploring Parameter-Efficient Fine-Tuning of Large Language Model on Automated Program Repair
di: Li, Guochang, et al.
Pubblicazione: (2024)

Morphis: SLO-Aware Resource Scheduling for Microservices with Time-Varying Call Graphs
di: Tang, Yu, et al.
Pubblicazione: (2026)

Prompting Large Language Models to Tackle the Full Software Development Lifecycle: A Case Study
di: Li, Bowen, et al.
Pubblicazione: (2024)

Can User Feedback Help Issue Detection? An Empirical Study on a One-billion-user Online Service System
di: Jiang, Shuyao, et al.
Pubblicazione: (2025)

CodeGlance: Understanding Code Reasoning Challenges in LLMs through Multi-Dimensional Feature Analysis
di: Wang, Yunkun, et al.
Pubblicazione: (2026)

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

UserTrace: User-Level Requirements Generation and Traceability Recovery from Software Project Repositories
di: Jin, Dongming, et al.
Pubblicazione: (2025)

Generative Software Engineering
di: Huang, Yuan, et al.
Pubblicazione: (2024)

Fearless Unsafe. A More User-friendly Document for Unsafe Rust Programming Base on Refined Safety Properties
di: Cui, Mohan, et al.
Pubblicazione: (2024)

ATLAS: Automated Toolkit for Large-Scale Verified Code Synthesis
di: Baksys, Mantas, et al.
Pubblicazione: (2025)

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits?
di: Voria, Gianmario, et al.
Pubblicazione: (2024)

A Toolkit for Measuring the Impacts of Public Funding on Open Source Software Development
di: Osborne, Cailean, et al.
Pubblicazione: (2024)

Hybrid Spiking Vision Transformer for Object Detection with Event Cameras
di: Xu, Qi, et al.
Pubblicazione: (2025)

Missing-Aware Multimodal Fusion for Unified Microservice Incident Management
di: Qian, Wenzhuo, et al.
Pubblicazione: (2026)

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

Revisiting Vulnerability Patch Localization: An Empirical Study and LLM-Based Solution
di: Xu, Haoran, et al.
Pubblicazione: (2025)

ChatUniTest: A Framework for LLM-Based Test Generation
di: Chen, Yinghao, et al.
Pubblicazione: (2023)

Agent for User: Testing Multi-User Interactive Features in TikTok
di: Feng, Sidong, et al.
Pubblicazione: (2025)

Guided Debugging of Auto-Translated Code Using Differential Testing
di: Wu, Shengnan, et al.
Pubblicazione: (2025)

How Users Employ Workarounds in Software Forms
di: Zaheri, MohammadAmin, et al.
Pubblicazione: (2025)

Cloudnativesim: A Toolkit for Modeling and Simulation of Cloud‐Native Applications
di: Jingfeng Wu, et al.
Pubblicazione: (2025)

Do Users' Explainability Needs in Software Change with Mood?
di: Obaidi, Martin, et al.
Pubblicazione: (2025)

The Current Challenges of Software Engineering in the Era of Large Language Models
di: Gao, Cuiyun, et al.
Pubblicazione: (2024)

GRACE: Graph-Guided Repository-Aware Code Completion through Hierarchical Code Fusion
di: Wang, Xingliang, et al.
Pubblicazione: (2025)

Structure-Aware Corpus Construction and User-Perception-Aligned Metrics for Large-Language-Model Code Completion
di: Liu, Dengfeng, et al.
Pubblicazione: (2025)

Assessing and Advancing Benchmarks for Evaluating Large Language Models in Software Engineering Tasks
di: Hu, Xing, et al.
Pubblicazione: (2025)

Large Language Models for Software Testing Education: an Experience Report
di: Yang, Peng, et al.
Pubblicazione: (2026)

Automatic Platform Configuration and Software Integration for Software-Defined Vehicles
di: Pan, Fengjunjie, et al.
Pubblicazione: (2024)

Benchmarking and Studying the LLM-based Agent System in End-to-End Software Development
di: Zeng, Zhengran, et al.
Pubblicazione: (2025)

Can Large Language Models Detect Real-World Android Software Compliance Violations?
di: Zhang, Haoyi, et al.
Pubblicazione: (2025)

User Feedback in Continuous Software Engineering: Revealing the State-of-Practice
di: Tkalich, Anastasiia, et al.
Pubblicazione: (2024)

Spiking GS: Towards High-Accuracy and Low-Cost Surface Reconstruction via Spiking Neuron-based Gaussian Splatting
di: Zhang, Weixing, et al.
Pubblicazione: (2024)

From LLMs to Agents: A Comparative Evaluation of LLMs and LLM-based Agents in Security Patch Detection
di: Han, Junxiao, et al.
Pubblicazione: (2025)

Agentic Services Computing
di: Deng, Shuiguang, et al.
Pubblicazione: (2025)

Process-Centric Analysis of Agentic Software Systems
di: Liu, Shuyang, et al.
Pubblicazione: (2025)

From What to How: Bridging User Requirements with Software Development Using Large Language Models
di: He, Xiao, et al.
Pubblicazione: (2026)

Towards an Understanding of Large Language Models in Software Engineering Tasks
di: Zheng, Zibin, et al.
Pubblicazione: (2023)

Right or Wrong -- Understanding How Novice Users Write Software Models
di: Jovanovic, Ana, et al.
Pubblicazione: (2024)

Automatic Generation of Explainability Requirements and Software Explanations From User Reviews
di: Obaidi, Martin, et al.
Pubblicazione: (2025)