Papers Code Completion
“Code Completion” 태그가 달린 논문 280편 · 필터 해제
SoL-Pi: Recursively Scaling Auto-Research Loops for Efficient Agent Harness
As coding agents move from supervised code completion to unattended, around-the-clock exploration, their work expands from isolated predictions into long trajectories of reasoning, tool use, and feedback. Token efficienc…
Code CompletionCS-Guard: Benchmarking LLM Guardrails for Code Generation Security
Large language models (LLMs) have been ex- ploited to generate malware, but the effective- ness of guardrails for code generation secu- rity remains unclear. We introduce CS-Guard, the first benchmark to systematically e…
Text-to-Code GenerationCode TranslationCode CompletionLarge Language Models at the Intersection of Software Engineering and Software Security:An Evidence-Centered Structured Survey and Research Agenda
Large Language Models (LLMs) are moving from code completion toward repository-scale agents that retrieve context, edit files, execute tools, and participate in security-sensitive workflows. The evidence for these system…
Vulnerability DetectionCode CompletionBeware What You Autocomplete: Forensic Attribution of Backdoored Code Completions
Large language models have enabled powerful code completion systems that assist developers by predicting subsequent lines of code. However, these models remain vulnerable to backdoor attacks, where malicious fine-tuning …
Code CompletionTeaching LLMs a Low-Resource Language: Enhancing Code Completion in Pharo
Large Language Models (LLMs) unlocked new possibilities in automated code writing, becoming the backbone of most code completion tools. While LLMs excel in mainstream languages, they often lack support for the so-called …
Code CompletionTo Tab or Not to Tab: Measuring Critical Engagement in AI Code Completion Tools Using Behavioral Signals and Attention Checks
AI code completion tools, such as Github Copilot, provide students with code suggestions to help them write programs. However, recent qualitative studies suggest that students fail to critically evaluate these suggestion…
Code CompletionJAMER: Project-Level Code Framework Dataset and Benchmark on Professional Game Engines
Current AI-driven game development has made substantial progress in asset generation, gameplay design, and web-based game coding, yet project-level code engineering on professional game engines remains largely unexplored…
Code CompletionLLM-based Visual Code Completion for Aerospace Geometric Design
Recent advances in both Large Language Models (LLMs) and Vision Language Models (VLMs) have seen a step change in their ability to perform visual code completion, but the aerospace industry, which prioritizes safety and …
Code CompletionA Benchmark and Framework for Evaluating Next Action Predictions in Spreadsheets
Predictive code completion greatly accelerates how quickly developers work. In spreadsheets, despite being much more common, such auto-completion features are virtually non-existent. To address this gap, we introduce a b…
Code CompletionEfficient and Scalable Provenance Tracking for LLM-Generated Code Snippets
Large language models (LLMs) for code completion and generation are increasingly used in software development, yet they may reproduce training examples verbatim and without authorship attribution, raising legal and ethic…
Code CompletionPoison with Style: A Practical Poisoning Attack on Code Large Language Models
Code Large Language Models (CLLMs) serve as the core of modern code agents, enabling developers to automate complex software development tasks. In this paper, we present Poison-with-Style (PwS), a practical and stealthy …
Code CompletionAdaptive Mass-Segmented KV Compression for Long-Context Reasoning
The linear growth of the Key-Value (KV) cache is a critical bottleneck in long-form LLM inference. Existing KV compression methods mitigate this by evicting tokens based on importance scores. However, we show that their …
Mathematical ReasoningCode CompletionEcho: Learning from Experience Data via User-Driven Refinement
Static "human data" faces inherent limitations: it is expensive to scale and bounded by the knowledge of its creators. Continuous learning from "experience data" - interactions between agents and their environments - pro…
Code CompletionWhen Retrieval Hurts Code Completion: A Diagnostic Study of Stale Repository Context
Context: Retrieval-augmented code generation relies on cross-file repository context, but retrieved snippets may come from obsolete project states. Objectives: We study whether temporally stale repository snippets act as…
Code GenerationCode CompletionRuC: HDL-Agnostic Rule Completion Benchmark Generation
Large Language Models (LLMs) have rapidly improved in performance across code-related tasks, making their integration into Register Transfer Level (RTL) development increasingly attractive. Mimicking the behavior of inli…
Code CompletionLayer-wise MoE Routing Locality under Shared-Prefix Code Generation: Token-Identity Decomposition and Compile-Equivalent Fork Redundancy
In LLM-based code generation, multiple code candidates are often generated in parallel from the same prompt -- for example, in best-of-N sampling or multi-candidate code completion. These requests can share KV caches thr…
Code GenerationCode CompletionPrecise Debugging Benchmark: Is Your Model Debugging or Regenerating?
Unlike code completion, debugging requires localizing faults and applying targeted edits. We observe that frontier LLMs often regenerate correct but over-edited solutions during debugging. To evaluate how far LLMs are fr…
Code CompletionFrom Guessing to Placeholding: A Cost-Theoretic Framework for Uncertainty-Aware Code Completion
While Large Language Models (LLMs) have demonstrated exceptional proficiency in code completion, they typically adhere to a Hard Completion (HC) paradigm, compelling the generation of fully concrete code even amidst insu…
Reinforcement LearningCode CompletionH2LooP Spark Preview: Continual Pretraining of Large Language Models for Low-Level Embedded Systems Code
Large language models (LLMs) demonstrate strong code generation abilities in general-purpose programming languages but remain limited in specialized domains such as low-level embedded systems programming. This domain inv…
Continual PretrainingCode GenerationCode CompletionAn Evaluation of Context Length Extrapolation in Long Code via Positional Embeddings and Efficient Attention
The rapid advancement of large language models (LLMs) has led to a significant increase in automated tools in the software engineering, capable of performing various code-related tasks such as code generation, completion…
Code GenerationCode Completion