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Code Completion

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보존된 평가 기록

28

코드

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

https://github.com/engineeringsoftware/teco

공식 코드

Learning Deep Semantics for Test Completion

https://github.com/fsoft-ai4code/repohyper

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RepoHyper: Search-Expand-Refine on Semantic Graphs for Repository-Level Code Completion

https://github.com/giganticode/inspect

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INSPECT: Intrinsic and Systematic Probing Evaluation for Code Transformers

https://github.com/gonglinyuan/safim

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Evaluation of LLMs on Syntax-Aware Code Fill-in-the-Middle Tasks

https://github.com/google-research/google-research/tree/master/ipagnn

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Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks

https://github.com/greshake/llm-security

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Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection

https://github.com/greshake/lm-safety

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Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection

https://github.com/hambaobao/hcp-coder

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Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs

https://github.com/hao-ai-lab/lookaheaddecoding

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Break the Sequential Dependency of LLM Inference Using Lookahead Decoding

https://github.com/huangd1999/EffiBench

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EffiBench: Benchmarking the Efficiency of Automatically Generated Code

https://github.com/huizhang-l/codechameleon

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CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models

https://github.com/intitni/copilotforxcode

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Contextual Augmented Multi-Model Programming (CAMP): A Hybrid Local-Cloud Copilot Framework

https://github.com/ise-uet-vnu/rambo

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RAMBO: Enhancing RAG-based Repository-Level Method Body Completion

https://github.com/jetbrains-research/lca-baselines

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Long Code Arena: a Set of Benchmarks for Long-Context Code Models

https://github.com/kaistAI/LangBridge

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LangBridge: Multilingual Reasoning Without Multilingual Supervision

https://github.com/large-scale-sustainable-computing-lsc/green-code

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GREEN-CODE: Learning to Optimize Energy Efficiency in LLM-based Code Generation

https://github.com/liangzid/MERGE

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MERGE: Fast Private Text Generation

https://github.com/lin-tan/llm-vul

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How Effective Are Neural Networks for Fixing Security Vulnerabilities

https://github.com/llm4se/obfuscated-chatgpt-experiments

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Breaking the Silence: the Threats of Using LLMs in Software Engineering

https://github.com/lt-asset/repocod

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Can Language Models Replace Programmers for Coding? REPOCOD Says 'Not Yet'

https://github.com/mcgill-nlp/chase

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How to Get Your LLM to Generate Challenging Problems for Evaluation

https://github.com/microsoft/CodeBERT

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GraphCodeBERT: Pre-training Code Representations with Data Flow

https://github.com/microsoft/CodeXGLUE

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CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

https://github.com/microsoft/LLMLingua

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LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

https://github.com/microsoft/coderec_programming_states

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Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming

https://github.com/microsoft/codet

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RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation

https://github.com/microsoft/monitors4codegen

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Guiding Language Models of Code with Global Context using Monitors

https://github.com/murraytom/cov-eval

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Can You Really Trust Code Copilots? Evaluating Large Language Models from a Code Security Perspective

https://github.com/mwcvitkovic/Deep_Learning_On_Code_With_A_Graph_Vocabulary--Code_Preprocessor

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Open Vocabulary Learning on Source Code with a Graph-Structured Cache

https://github.com/nizarislah/gitchameleon

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GitChameleon: Unmasking the Version-Switching Capabilities of Code Generation Models

https://github.com/nju-websoft/DraCo

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Dataflow-Guided Retrieval Augmentation for Repository-Level Code Completion

https://github.com/nvlabs/verilog-eval

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Revisiting VerilogEval: A Year of Improvements in Large-Language Models for Hardware Code Generation

https://github.com/parallelcodefoundry/ParEval

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Can Large Language Models Write Parallel Code?

https://github.com/projectnuwa/layoutnuwa

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LayoutNUWA: Revealing the Hidden Layout Expertise of Large Language Models

https://github.com/raivnlab/superposeddecoding

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Superposed Decoding: Multiple Generations from a Single Autoregressive Inference Pass

https://github.com/reddy-lab-code-research/PPOCoder

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Execution-based Code Generation using Deep Reinforcement Learning

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