:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Han, Xiaoke, Zhu, Hong
Formato:	Preprint
Publicado:	2025
Materias:	Software Engineering Artificial Intelligence Machine Learning
Acceso en línea:	https://arxiv.org/abs/2511.18038
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

FuzzTheREST: An Intelligent Automated Black-box RESTful API Fuzzer
por: Dias, Tiago, et al.
Publicado: (2024)

LGMT: Logic-Grounded Metamorphic Testing for Evaluating the Reasoning Reliability of LLMs
por: Zhou, Zenghui, et al.
Publicado: (2026)

ToolFactory: Automating Tool Generation by Leveraging LLM to Understand REST API Documentations
por: Ni, Xinyi, et al.
Publicado: (2025)

Enhancing LLM-Based Test Generation by Eliminating Covered Code
por: Xu, WeiZhe, et al.
Publicado: (2026)

A Multi-Agent Approach for REST API Testing with Semantic Graphs and LLM-Driven Inputs
por: Kim, Myeongsoo, et al.
Publicado: (2024)

A Comprehensive Framework for Evaluating API-oriented Code Generation in Large Language Models
por: Wu, Yixi, et al.
Publicado: (2024)

AgentTrace: Causal Graph Tracing for Root Cause Analysis in Deployed Multi-Agent Systems
por: Wang, Zhaohui Geoffrey
Publicado: (2026)

Understanding LLM-Driven Test Oracle Generation
por: Bodicoat, Adam, et al.
Publicado: (2026)

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems
por: Hong, Yining, et al.
Publicado: (2025)

Mutation-Guided LLM-based Test Generation at Meta
por: Foster, Christopher, et al.
Publicado: (2025)

The Dual-State Architecture for Reliable LLM Agents
por: Thompson, Matthew
Publicado: (2025)

PostTrainBench: Can LLM Agents Automate LLM Post-Training?
por: Rank, Ben, et al.
Publicado: (2026)

A Stochastic Differential Equation Framework for Multi-Objective LLM Interactions: Dynamical Systems Analysis with Code Generation Applications
por: Shukla, Shivani, et al.
Publicado: (2025)

SWE-Replay: Efficient Test-Time Scaling for Software Engineering Agents
por: Ding, Yifeng, et al.
Publicado: (2026)

The Causal Impact of Tool Affordance on Safety Alignment in LLM Agents
por: Yu, Shasha, et al.
Publicado: (2026)

SWT-Bench: Testing and Validating Real-World Bug-Fixes with Code Agents
por: Mündler, Niels, et al.
Publicado: (2024)

DocAgent: A Multi-Agent System for Automated Code Documentation Generation
por: Yang, Dayu, et al.
Publicado: (2025)

Insights Generator: Systematic Corpus-Level Trace Diagnostics for LLM Agents
por: Manglik, Akshay, et al.
Publicado: (2026)

Can Search-Based Testing with Pareto Optimization Effectively Cover Failure-Revealing Test Inputs?
por: Sorokin, Lev, et al.
Publicado: (2024)

CSR-Bench: Benchmarking LLM Agents in Deployment of Computer Science Research Repositories
por: Xiao, Yijia, et al.
Publicado: (2025)

APRIL: API Synthesis with Automatic Prompt Optimization and Reinforcement Learning
por: Zhong, Hua, et al.
Publicado: (2025)

LRASGen: LLM-based RESTful API Specification Generation
por: Deng, Sida, et al.
Publicado: (2025)

Applying Large Language Models API to Issue Classification Problem
por: Aracena, Gabriel, et al.
Publicado: (2024)

Methodological Framework for Quantifying Semantic Test Coverage in RAG Systems
por: Broestl, Noah, et al.
Publicado: (2025)

JARVIS: A Multi-Agent Code Assistant for High-Quality EDA Script Generation
por: Pasandi, Ghasem, et al.
Publicado: (2025)

Semantic Voting: Execution-Grounded Consensus for LLM Code Generation
por: Jiang, Shan, et al.
Publicado: (2026)

MIST-RL: Mutation-based Incremental Suite Testing via Reinforcement Learning
por: Zhu, Sicheng, et al.
Publicado: (2026)

Engineering LLM Powered Multi-agent Framework for Autonomous CloudOps
por: Parthasarathy, Kannan, et al.
Publicado: (2025)

AgentOpt v0.1 Technical Report: Client-Side Optimization for LLM-Based Agent
por: Hua, Wenyue, et al.
Publicado: (2026)

When Your LLM Reaches End-of-Life: A Framework for Confident Model Migration in Production Systems
por: Casey, Emma, et al.
Publicado: (2026)

Cleaning Maintenance Logs with LLM Agents for Improved Predictive Maintenance
por: Dimidov, Valeriu, et al.
Publicado: (2025)

Gradient-Based Model Fingerprinting for LLM Similarity Detection and Family Classification
por: Wu, Zehao, et al.
Publicado: (2025)

Combining TSL and LLM to Automate REST API Testing: A Comparative Study
por: Barradas, Thiago, et al.
Publicado: (2025)

VibeTensor: System Software for Deep Learning, Fully Generated by AI Agents
por: Xu, Bing, et al.
Publicado: (2026)

PCBSchemaGen: Constraint-Guided Schematic Design via LLM for Printed Circuit Boards (PCB)
por: Zou, Huanghaohe, et al.
Publicado: (2026)

Operational Robustness of LLMs on Code Generation
por: Paul, Debalina Ghosh, et al.
Publicado: (2026)

SELA: Tree-Search Enhanced LLM Agents for Automated Machine Learning
por: Chi, Yizhou, et al.
Publicado: (2024)

AIPC: Agent-Based Automation for AI Model Deployment with Qualcomm AI Runtime
por: Su, Jianhao, et al.
Publicado: (2026)

A Survey on Code Generation with LLM-based Agents
por: Dong, Yihong, et al.
Publicado: (2025)

LLM-Generated Microservice Implementations from RESTful API Definitions
por: Chauhan, Saurabh, et al.
Publicado: (2025)