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Code Completion

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/3DAgentWorld/Toolkit-for-Prompt-Compression

공식 코드

PCToolkit: A Unified Plug-and-Play Prompt Compression Toolkit of Large Language Models

https://github.com/8023looker/datasculpt

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DataSculpt: Crafting Data Landscapes for Long-Context LLMs through Multi-Objective Partitioning

https://github.com/BohdanPetryshyn/code-llama-fim-fine-tuning

공식 코드

Optimizing Large Language Models for OpenAPI Code Completion

https://github.com/BohdanPetryshyn/openapi-completion-benchmark

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Optimizing Large Language Models for OpenAPI Code Completion

https://github.com/CASTLE-Benchmark/CASTLE-Benchmark

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CASTLE: Benchmarking Dataset for Static Code Analyzers and LLMs towards CWE Detection

https://github.com/CGCL-codes/naturalcc

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What Do They Capture? -- A Structural Analysis of Pre-Trained Language Models for Source Code

https://github.com/Leolty/repobench

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RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems

https://github.com/LingmaTongyi/Codev-Bench

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Codev-Bench: How Do LLMs Understand Developer-Centric Code Completion?

https://github.com/Microsoft/PTVS

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Pythia: AI-assisted Code Completion System

https://github.com/MrVPlusOne/LambdaNet

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LambdaNet: Probabilistic Type Inference using Graph Neural Networks

https://github.com/NEUIR/CONAN

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Building A Coding Assistant via the Retrieval-Augmented Language Model

https://github.com/TechxGenus/CursorCore

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CursorCore: Assist Programming through Aligning Anything

https://github.com/UKPLab/arxiv2024-IRCoder

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IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators

https://github.com/UKPLab/iclr2025-obscura-coder

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ObscuraCoder: Powering Efficient Code LM Pre-Training Via Obfuscation Grounding

https://github.com/YuanJiangGit/EnhancedCQ

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Enhancing High-Quality Code Generation in Large Language Models with Comparative Prefix-Tuning

https://github.com/ablustrund/apps_plus

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StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

https://github.com/aise-tudelft/code4meevaluation

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Language Models for Code Completion: A Practical Evaluation

https://github.com/aise-tudelft/contextualdatacodecompletion

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Enriching Source Code with Contextual Data for Code Completion Models: An Empirical Study

https://github.com/aise-tudelft/haskellcceval

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Investigating the Performance of Language Models for Completing Code in Functional Programming Languages: a Haskell Case Study

https://github.com/aise-tudelft/llm4code-extraction

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Traces of Memorisation in Large Language Models for Code

https://github.com/aixcoder-plugin/aixcoder-7b

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aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Processing

https://github.com/amazon-research/mbxp-exec-eval

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Multi-lingual Evaluation of Code Generation Models

https://github.com/amazon-science/buggy-code-completion

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Large Language Models of Code Fail at Completing Code with Potential Bugs

https://github.com/amazon-science/cocomic

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CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file Context

https://github.com/apple/corenet

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KV Prediction for Improved Time to First Token

https://github.com/ar4l/curating-code-completions

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A Transformer-Based Approach for Smart Invocation of Automatic Code Completion

https://github.com/arise-lab/semcoder

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SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning

https://github.com/awsm-research/pycoder

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Syntax-Aware On-the-Fly Code Completion

https://github.com/bayesgroup/code_transformers

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Empirical Study of Transformers for Source Code

https://github.com/bin123apple/autocoder

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AutoCoder: Enhancing Code Large Language Model with \textsc{AIEV-Instruct}

https://github.com/bytedance-seed/seed-coder

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Seed-Coder: Let the Code Model Curate Data for Itself

https://github.com/celbree/reacc

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ReACC: A Retrieval-Augmented Code Completion Framework

https://github.com/concyclics/logquantkv

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LogQuant: Log-Distributed 2-Bit Quantization of KV Cache with Superior Accuracy Preservation

https://github.com/datasec-lab/codebreaker

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An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection

https://github.com/dorothyduuu/swe-dev

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SWE-Dev: Evaluating and Training Autonomous Feature-Driven Software Development

https://github.com/drndr/gencodesearchnet

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GenCodeSearchNet: A Benchmark Test Suite for Evaluating Generalization in Programming Language Understanding

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