Cover Image

When Neural Code Completion Models Size up the Situation: Attaining Cheaper and Faster Completion through Dynamic Model Inference

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sun, Zhensu, Du, Xiaoning, Song, Fu, Wang, Shangwen, Li, Li
Format:	Preprint
Published:	2024
Subjects:	Software Engineering Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems
by: Sun, Zhensu, et al.
Published: (2022)

FDI: Attack Neural Code Generation Systems through User Feedback Channel
by: Sun, Zhensu, et al.
Published: (2024)

Bridging Developer Instructions and Code Completion Through Instruction-Aware Fill-in-the-Middle Paradigm
by: Sun, Zhensu, et al.
Published: (2025)

AI Coders Are Among Us: Rethinking Programming Language Grammar Towards Efficient Code Generation
by: Sun, Zhensu, et al.
Published: (2024)

The Hidden Cost of Readability: How Code Formatting Silently Consumes Your LLM Budget
by: Pan, Dangfeng, et al.
Published: (2025)

Token Sugar: Making Source Code Sweeter for LLMs through Token-Efficient Shorthand
by: Sun, Zhensu, et al.
Published: (2025)

Does Your Neural Code Completion Model Use My Code? A Membership Inference Approach
by: Wan, Yao, et al.
Published: (2024)

Effective Code Membership Inference for Code Completion Models via Adversarial Prompts
by: Jiang, Yuan, et al.
Published: (2025)

Towards Agentic Runtime Healing
by: Sun, Zhensu, et al.
Published: (2024)

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

Comparative Analysis of Large Language Models for Context-Aware Code Completion using SAFIM Framework
by: Zhang, Hang, et al.
Published: (2025)

Impact-driven Context Filtering For Cross-file Code Completion
by: Li, Yanzhou, et al.
Published: (2025)

From Context to Intent: Reasoning-Guided Function-Level Code Completion
by: Li, Yanzhou, et al.
Published: (2025)

Counterexample Guided Branching via Directional Relaxation Analysis in Complete Neural Network Verification
by: Li, Jingyang, et al.
Published: (2026)

Exploring Autonomous Agents: A Closer Look at Why They Fail When Completing Tasks
by: Lu, Ruofan, et al.
Published: (2025)

ContextModule: Improving Code Completion via Repository-level Contextual Information
by: Guan, Zhanming, et al.
Published: (2024)

Codev-Bench: How Do LLMs Understand Developer-Centric Code Completion?
by: Pan, Zhenyu, et al.
Published: (2024)

Post-Incorporating Code Structural Knowledge into Pretrained Models via ICL for Code Translation
by: Du, Yali, et al.
Published: (2025)

Unveiling Project-Specific Bias in Neural Code Models
by: Li, Zhiming, et al.
Published: (2022)

Control Models for In-IDE Code Completion
by: de Moor, Aral, et al.
Published: (2026)

Executing as You Generate: Hiding Execution Latency in LLM Code Generation
by: Sun, Zhensu, et al.
Published: (2026)

PuzzleMark: Implicit Jigsaw Learning for Robust Code Dataset Watermarking in Neural Code Completion Models
by: Huang, Haocheng, et al.
Published: (2026)

RTLRepoCoder: Repository-Level RTL Code Completion through the Combination of Fine-Tuning and Retrieval Augmentation
by: Wu, Peiyang, et al.
Published: (2025)

REPOFUSE: Repository-Level Code Completion with Fused Dual Context
by: Liang, Ming, et al.
Published: (2024)

Robustness, Security, Privacy, Explainability, Efficiency, and Usability of Large Language Models for Code
by: Yang, Zhou, et al.
Published: (2024)

A Lightweight Framework for Adaptive Retrieval In Code Completion With Critique Model
by: Zhang, Wenrui, et al.
Published: (2024)

SpecAgent: A Speculative Retrieval and Forecasting Agent for Code Completion
by: Ma, George, et al.
Published: (2025)

The Fools are Certain; the Wise are Doubtful: Exploring LLM Confidence in Code Completion
by: Kotti, Zoe, et al.
Published: (2025)

Autoregressive, Yet Revisable: In Decoding Revision for Secure Code Generation
by: Yang, Chengran, et al.
Published: (2026)

AdaptEval: A Benchmark for Evaluating Large Language Models on Code Snippet Adaptation
by: Zhang, Tanghaoran, et al.
Published: (2026)

On the Generalizability of Transformer Models to Code Completions of Different Lengths
by: Cooper, Nathan, et al.
Published: (2025)

RepoMasterEval: Evaluating Code Completion via Real-World Repositories
by: Wu, Qinyun, et al.
Published: (2024)

AlignCoder: Aligning Retrieval with Target Intent for Repository-Level Code Completion
by: Jiang, Tianyue, et al.
Published: (2026)

Challenge on Optimization of Context Collection for Code Completion
by: Ustalov, Dmitry, et al.
Published: (2025)

FasterPy: An LLM-based Code Execution Efficiency Optimization Framework
by: Wu, Yue, et al.
Published: (2025)

Mechanistic Understanding of Language Models in Syntactic Code Completion
by: Miller, Samuel, et al.
Published: (2025)

RepoHyper: Search-Expand-Refine on Semantic Graphs for Repository-Level Code Completion
by: Phan, Huy N., et al.
Published: (2024)

90% Faster, 100% Code-Free: MLLM-Driven Zero-Code 3D Game Development
by: Yang, Runxin, et al.
Published: (2025)

Relative Positioning Based Code Chunking Method For Rich Context Retrieval In Repository Level Code Completion Task With Code Language Model
by: Rahman, Imranur, et al.
Published: (2025)

Faster Configuration Performance Bug Testing with Neural Dual-level Prioritization
by: Ma, Youpeng, et al.
Published: (2025)