Copertina

The Tyranny of Possibilities in the Design of Task-Oriented LLM Systems: A Scoping Survey

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Dhamani, Dhruv, Maher, Mary Lou
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Software Engineering Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Agent-Centric Projection of Prompting Techniques and Implications for Synthetic Training Data for Large Language Models
di: Dhamani, Dhruv, et al.
Pubblicazione: (2025)

An Empirical Evaluation of LLM-Based Approaches for Code Vulnerability Detection: RAG, SFT, and Dual-Agent Systems
di: Saju, Md Hasan, et al.
Pubblicazione: (2026)

Adding New Capability in Existing Scientific Application with LLM Assistance
di: Dubey, Anshu, et al.
Pubblicazione: (2025)

Designing LLM-based Multi-Agent Systems for Software Engineering Tasks: Quality Attributes, Design Patterns and Rationale
di: Cai, Yangxiao, et al.
Pubblicazione: (2025)

System Test Case Design from Requirements Specifications: Insights and Challenges of Using ChatGPT
di: Bhatia, Shreya, et al.
Pubblicazione: (2024)

Towards LLM-Assisted Architecture Recovery for Real-World ROS~2 Systems: An Agent-Based Multi-Level Approach to Hierarchical Structural Architecture Reconstruction
di: Briechle, Dominique, et al.
Pubblicazione: (2026)

Designing Adaptive Digital Nudging Systems with LLM-Driven Reasoning
di: Santilli, Tiziano, et al.
Pubblicazione: (2026)

LLM-Empowered Functional Safety and Security by Design in Automotive Systems
di: Petrovic, Nenad, et al.
Pubblicazione: (2026)

How to Trick Your AI TA: A Systematic Study of Academic Jailbreaking in LLM Code Evaluation
di: Sahoo, Devanshu, et al.
Pubblicazione: (2025)

Machine Learning Systems: A Survey from a Data-Oriented Perspective
di: Cabrera, Christian, et al.
Pubblicazione: (2023)

Code Reasoning for Software Engineering Tasks: A Survey and A Call to Action
di: Pujar, Saurabh, et al.
Pubblicazione: (2025)

Effective LLM Code Refinement via Property-Oriented and Structurally Minimal Feedback
di: He, Lehan, et al.
Pubblicazione: (2025)

Leveraging Large Language Models for Code Translation and Software Development in Scientific Computing
di: Dhruv, Akash, et al.
Pubblicazione: (2024)

Large Language Model-Based Agents for Software Engineering: A Survey
di: Liu, Junwei, et al.
Pubblicazione: (2024)

AutoDroid: LLM-powered Task Automation in Android
di: Wen, Hao, et al.
Pubblicazione: (2023)

SE Research is a Complex Ecosystem: Isolated Fixes Keep Failing -- and Systems Thinking Shows Why
di: Shaw, Mary, et al.
Pubblicazione: (2026)

Defective Task Descriptions in LLM-Based Code Generation: Detection and Analysis
di: Akli, Amal, et al.
Pubblicazione: (2026)

Unit Test Generation using Generative AI : A Comparative Performance Analysis of Autogeneration Tools
di: Bhatia, Shreya, et al.
Pubblicazione: (2023)

Assessing LLM code generation quality through path planning tasks
di: Chen, Wanyi, et al.
Pubblicazione: (2025)

Generative AI for Testing of Autonomous Driving Systems: A Survey
di: Song, Qunying, et al.
Pubblicazione: (2025)

TransAgent: Enhancing LLM-Based Code Translation via Fine-Grained Execution Alignment
di: Yuan, Zhiqiang, et al.
Pubblicazione: (2024)

Using LLMs in Software Design: An Empirical Study of GitHub and A Practitioner Survey
di: Wang, Yifei, et al.
Pubblicazione: (2026)

Runtime-Structured Task Decomposition for Agentic Coding Systems
di: Asthana, Shubhi, et al.
Pubblicazione: (2026)

Adopting RAG for LLM-Aided Future Vehicle Design
di: Zolfaghari, Vahid, et al.
Pubblicazione: (2024)

Uncertainty Propagation in LLM-Based Systems
di: Xia, Boming, et al.
Pubblicazione: (2026)

SWE-Hub: A Unified Production System for Scalable, Executable Software Engineering Tasks
di: Zeng, Yucheng, et al.
Pubblicazione: (2026)

EvoDev: An Iterative Feature-Driven Framework for End-to-End Software Development with LLM-based Agents
di: Liu, Junwei, et al.
Pubblicazione: (2025)

Code Copycat Conundrum: Demystifying Repetition in LLM-based Code Generation
di: Liu, Mingwei, et al.
Pubblicazione: (2025)

Rubric Is All You Need: Enhancing LLM-based Code Evaluation With Question-Specific Rubrics
di: Pathak, Aditya, et al.
Pubblicazione: (2025)

CodeClash: Benchmarking Goal-Oriented Software Engineering
di: Yang, John, et al.
Pubblicazione: (2025)

The Semi-Executable Stack: Agentic Software Engineering and the Expanding Scope of SE
di: Feldt, Robert, et al.
Pubblicazione: (2026)

Automated Customization of LLMs for Enterprise Code Repositories Using Semantic Scopes
di: Finkler, Ulrich, et al.
Pubblicazione: (2026)

A Comparative Analysis of Large Language Models for Code Documentation Generation
di: Dvivedi, Shubhang Shekhar, et al.
Pubblicazione: (2023)

BiasScope: Towards Automated Detection of Bias in LLM-as-a-Judge Evaluation
di: Lai, Peng, et al.
Pubblicazione: (2026)

LLM-Based Agentic Systems for Software Engineering: Challenges and Opportunities
di: Tang, Yongjian, et al.
Pubblicazione: (2026)

Vul-RAG: Enhancing LLM-based Vulnerability Detection via Knowledge-level RAG
di: Du, Xueying, et al.
Pubblicazione: (2024)

TaskEval: Synthesised Evaluation for Foundation-Model Tasks
di: Widanapathiranage, Dilani, et al.
Pubblicazione: (2025)

Toward Reliable Design of LLM-Enabled Agentic Workflows: Optimizing Latency-Reliability-Cost Tradeoffs
di: Yang, Ya-Ting, et al.
Pubblicazione: (2026)

Design choices made by LLM-based test generators prevent them from finding bugs
di: Mathews, Noble Saji, et al.
Pubblicazione: (2024)

RESCORE: LLM-Driven Simulation Recovery in Control Systems Research Papers
di: Bhat, Vineet, et al.
Pubblicazione: (2026)