Papers Code Search
“Code Search” 태그가 달린 논문 147편 · 필터 해제
MediaWiki Code2Code Search: Neural Retrieval for the Semantic Discovery of Open-Source Software Entities
Code search in large-scale ecosystems is often hindered by the lexical gap between user queries and implementation details, alongside the trade-off between the low latency of traditional Information Retrieval (IR) and th…
Information RetrievalCode SearchHarness Handbook: Making Evolving Agent Harnesses Readable,Navigable, and Editable
The capability of a modern AI agent depends not only on its foundation model but also on its harness, which constructs prompts, manages state, invokes tools, and coordinates execution. As models, APIs, environments, and …
Code SearchScientific Code Search at Scale: A Multi-Domain Dataset and Benchmark
Scientists increasingly rely on open-source tools to support their research workflows, yet discovering relevant software among over 600 million GitHub repositories remains challenging. Existing code search benchmarks foc…
Information RetrievalCode SearchDecoupling Code Complexity from Newcomer Participation: A Causal Study of AI Coding Agent Adoption in OSS
Open-source projects depend on a steady inflow of newcomers. A growing concern is that AI coding agents (tools such as Cursor and Claude Code that write code from natural-language instructions) will crowd them out, by ab…
Code SearchUniCoder: Unified Visual-to-Code Generation via Symbolic Rewards and Reference-Guided Code Optimization
Visual-to-Code generation, which transforms scientific plots, vector graphics, and webpages into executable scripts, demands a level of pixel-precise alignment that standard Multimodal Large Language Models (MLLMs) fail …
Reinforcement LearningCode GenerationCode SearchRecall Before Rerank: Benchmarking Deep Learning Models for Large-Scale Code-to-Code Retrieval
Semantic code search and clone detection are essential for software development, maintenance, and reuse. This paper evaluates the effectiveness, efficiency, and scalability of contemporary deep learning models for first-…
Code SearchOptimizing CUDA like a Human: Micro-Profiling Tools as Expert Surrogates for LLM-Based GPU Kernel Optimization
We present KernelPro, a closed-loop multi-agent system that automatically generates, profiles, and iteratively optimizes GPU kernel code by integrating large language model (LLM) code generation with hardware profiler fe…
Code GenerationCode SearchHealthcare Mechanisms from Policy-as-Code Search under Strategic Provider Response
Healthcare mechanisms are inseparable from the strategic provider response they induce: existing healthcare AI benchmarks hold this response fixed and so cannot evaluate mechanisms by the equilibrium they produce. We rec…
Program SynthesisCode SearchXSearch: Explainable Code Search via Concept-to-Code Alignment
Semantic code search has been widely adopted in both academia and industry. These approaches embed natural-language queries and code snippets into a shared embedding space and retrieve results based on vector similarity.…
Code SearchDetecting Privilege Escalation in Polyglot Microservices via Agentic Program Analysis
Microservices are widely adopted in modern cloud systems due to their scalability and fault tolerance. However, microservice architectures introduce significant complexity in privilege and permission control, creating ri…
Code SearchBeyond Retrieval: A Multitask Benchmark and Model for Code Search
Code search has usually been evaluated as first-stage retrieval, even though production systems rely on broader pipelines with reranking and developer-style queries. Existing benchmarks also suffer from data contaminatio…
Code SearchCodeMMR: Bridging Natural Language, Code, and Image for Unified Retrieval
Code search, framed as information retrieval (IR), underpins modern software engineering and increasingly powers retrieval-augmented generation (RAG), improving code discovery, reuse, and the reliability of LLM-based cod…
Information RetrievalVisual GroundingCode GenerationCode SearchFrom AI Assistant to AI Scientist: Autonomous Discovery of LLM-RL Algorithms with LLM Agents
Discovering improved policy optimization algorithms for language models remains a costly manual process requiring repeated mechanism-level modification and validation. Unlike simple combinatorial code search, this proble…
Mathematical ReasoningCode SearchCodeScout: An Effective Recipe for Reinforcement Learning of Code Search Agents
A prerequisite for coding agents to perform tasks on large repositories is code localization - the identification of relevant files, classes, and functions to work on. While repository-level code localization has been pe…
Reinforcement LearningCode SearchEvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery
The increasing adoption of Large Language Models (LLMs) has enabled AI scientists to perform complex end-to-end scientific discovery tasks requiring coordination of specialized roles, including idea generation and experi…
Code SearchA Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks
Reusing existing neural-network components is central to research efficiency, yet discovering, extracting, and validating such modules across thousands of open-source repositories remains difficult. We introduce NN-RAG, …
Code SearchRepository-Aware File Path Retrieval via Fine-Tuned LLMs
Modern codebases make it hard for developers and AI coding assistants to find the right source files when answering questions like "How does this feature work?" or "Where was the bug introduced?" Traditional code search …
Code SearchProjection and Quantisation: A Unifying View of Learning to Hash, from Random Projections to the RAG Era
Approximate nearest-neighbour search underpins large-scale retrieval and retrieval-augmented generation, yet its methods are studied in communities that seldom read one another. We argue that they form one field with thr…
Code SearchWhich Programming Language and Model Work Best With LLM-as-a-Judge For Code Retrieval?
Code search is an important information retrieval application. Benefits of better code search include faster new developer on-boarding, reduced software maintenance, and ease of understanding for large repositories. Desp…
Information RetrievalCode SearchRANGER -- Repository-Level Agent for Graph-Enhanced Retrieval
General-purpose automated software engineering (ASE) includes tasks such as code completion, retrieval, repair, QA, and summarization. These tasks require a code retrieval system that can handle specific queries about co…
Natural Language QueriesQuestion AnsweringCode CompletionCode Search