Copertina

An Empirical Study of Speculative Decoding on Software Engineering Tasks

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Yijia, Chen, Junkai, Hu, Xing, Xia, Xin
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Software Engineering
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

NLPerturbator: Studying the Robustness of Code LLMs to Natural Language Variations
di: Chen, Junkai, et al.
Pubblicazione: (2024)

Open the Oyster: Empirical Evaluation and Improvement of Code Reasoning Confidence in LLMs
di: Wang, Shufan, et al.
Pubblicazione: (2025)

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

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities
di: Yang, Zezhou, et al.
Pubblicazione: (2025)

Not All RAGs Are Created Equal: A Component-Wise Empirical Study for Software Engineering Tasks
di: Ke, Qiang, et al.
Pubblicazione: (2026)

Understanding Practitioners' Expectations on Clear Code Review Comments
di: Chen, Junkai, et al.
Pubblicazione: (2024)

An Empirical Study of Generative AI Adoption in Software Engineering
di: Giray, Görkem, et al.
Pubblicazione: (2025)

Every Maintenance Has Its Exemplar: The Future of Software Maintenance through Migration
di: Chen, Zirui, et al.
Pubblicazione: (2026)

Empirical Studies on Quantum Optimization for Software Engineering: A Systematic Analysis
di: Zhang, Man, et al.
Pubblicazione: (2025)

An Empirical Study of Perceptions of General LLMs and Multimodal LLMs on Hugging Face
di: Liu, Yujian, et al.
Pubblicazione: (2026)

Can LLMs Replace Human Evaluators? An Empirical Study of LLM-as-a-Judge in Software Engineering
di: Wang, Ruiqi, et al.
Pubblicazione: (2025)

A Comprehensive Empirical Evaluation of Agent Frameworks on Code-centric Software Engineering Tasks
di: Yin, Zhuowen, et al.
Pubblicazione: (2025)

Guidelines for Empirical Studies in Software Engineering involving Large Language Models
di: Baltes, Sebastian, et al.
Pubblicazione: (2025)

Exploring the Power of Diffusion Large Language Models for Software Engineering: An Empirical Investigation
di: Zhang, Jingyao, et al.
Pubblicazione: (2025)

Reasoning Runtime Behavior of a Program with LLM: How Far Are We?
di: Chen, Junkai, et al.
Pubblicazione: (2024)

Software Engineering Podcasts: An Empirical Study of Their Potential as a Research Resource
di: Wyrich, Marvin, et al.
Pubblicazione: (2026)

An Empirical Study on Decision-Making Aspects in Responsible Software Engineering for AI
di: Rani, Lekshmi Murali, et al.
Pubblicazione: (2025)

An Empirical Study of Vulnerable Package Dependencies in LLM Repositories
di: Liu, Shuhan, et al.
Pubblicazione: (2025)

Which Prompting Technique Should I Use? An Empirical Investigation of Prompting Techniques for Software Engineering Tasks
di: Santana Jr, E. G., et al.
Pubblicazione: (2025)

An Empirical Study of Interaction Bugs in ROS-based Software
di: Chen, Zhixiang, et al.
Pubblicazione: (2025)

Semantic Consensus Decoding: Backdoor Defense for Verilog Code Generation
di: Yang, Guang, et al.
Pubblicazione: (2026)

An Empirical Investigation of the Experiences of Dyslexic Software Engineers
di: Cruz, Marcos Vinicius, et al.
Pubblicazione: (2025)

A Framework for Using LLMs for Repository Mining Studies in Empirical Software Engineering
di: de Martino, Vincenzo, et al.
Pubblicazione: (2024)

An Empirical Study of Knowledge Distillation for Code Understanding Tasks
di: Wang, Ruiqi, et al.
Pubblicazione: (2025)

A Large-scale Empirical Study on the Generalizability of Disclosed Java Library Vulnerability Exploits
di: Chen, Zirui, et al.
Pubblicazione: (2026)

Integrating Positionality Statements in Empirical Software Engineering Research
di: de Sousa, Breno Felix, et al.
Pubblicazione: (2024)

Mitigating Omitted Variable Bias in Empirical Software Engineering
di: Furia, Carlo A., et al.
Pubblicazione: (2025)

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

Aligning Academia with Industry: An Empirical Study of Industrial Needs and Academic Capabilities in AI-Driven Software Engineering
di: Yu, Hang, et al.
Pubblicazione: (2025)

Agentic AI in the Software Development Lifecycle: Architecture, Empirical Evidence, and the Reshaping of Software Engineering
di: Bhati, Happy
Pubblicazione: (2026)

Reward Engineering for Reinforcement Learning in Software Tasks
di: Masud, Md Rayhanul, et al.
Pubblicazione: (2026)

Teaching Empirical Research Methods in Software Engineering: An Editorial Introduction
di: Mendez, Daniel, et al.
Pubblicazione: (2025)

Designing a Syllabus for a Course on Empirical Software Engineering
di: Avgeriou, Paris, et al.
Pubblicazione: (2025)

Teaching Simulation as a Research Method in Empirical Software Engineering
di: de França, Breno Bernard Nicolau, et al.
Pubblicazione: (2025)

How do Software Engineering Researchers Use GitHub? An Empirical Study of Artifacts & Impact
di: Alrashedy, Kamel, et al.
Pubblicazione: (2023)

An Empirical Study on the Potential of LLMs in Automated Software Refactoring
di: Liu, Bo, et al.
Pubblicazione: (2024)

Deep Learning-based Software Engineering: Progress, Challenges, and Opportunities
di: Chen, Xiangping, et al.
Pubblicazione: (2024)

An Empirical Study on Embodied Artificial Intelligence Robot (EAIR) Software Bugs
di: Liao, Zeqin, et al.
Pubblicazione: (2025)

Prediction Model of Motivators and Demotivators of Integrating Large Language Models in Software Engineering Education: An Empirical Study
di: Khan, Maryam, et al.
Pubblicazione: (2026)