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Code Generation

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하위 태스크: 5
평가표: 28
보존된 평가 기록: 241

Code Generation is an important field to predict explicit code or program structure from multimodal data sources such as incomplete code, programs in another programming language, natural language descriptions or execution examples. Code Generation tools can assist the development of automatic programming tools to improve programming productivity.

Source: Deep Learning for Source Code Modeling and Generation

Image source: Measuring Coding Challenge Competence With APPS

코드

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

https://github.com/tsinghua-fib-lab/citygpt

공식 코드

CityGPT: Empowering Urban Spatial Cognition of Large Language Models

https://github.com/tsukushiai/self-organized-agent

공식 코드

Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization

https://github.com/tuhh-softsec/llmseceval

공식 코드

LLMSecEval: A Dataset of Natural Language Prompts for Security Evaluations

https://github.com/uclanlp/NamedEntityLanguageModel

공식 코드

Building Language Models for Text with Named Entities

https://github.com/uh-serg/ci-memorization

공식 코드

Memorization and Generalization in Neural Code Intelligence Models

https://github.com/uiuc-arc/itergen

공식 코드

IterGen: Iterative Semantic-aware Structured LLM Generation with Backtracking

https://github.com/uiuc-focal-lab/syncode

공식 코드

SynCode: LLM Generation with Grammar Augmentation

https://github.com/ukplab/codeclarqa

공식 코드

Python Code Generation by Asking Clarification Questions

https://github.com/umair-nasir14/llmatic

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LLMatic: Neural Architecture Search via Large Language Models and Quality Diversity Optimization

https://github.com/usc-fortis/ad-agent

공식 코드

AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection

https://github.com/utmathgroup/utmath

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UTMath: Math Evaluation with Unit Test via Reasoning-to-Coding Thoughts

https://github.com/uw-nsl/safedecoding

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SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding

https://github.com/v587su/simpy

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AI Coders Are Among Us: Rethinking Programming Language Grammar Towards Efficient Code Generation

https://github.com/vanderschaarlab/l2mac

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L2MAC: Large Language Model Automatic Computer for Extensive Code Generation

https://github.com/vatai/tadashi

공식 코드

Tadashi: Enabling AI-Based Automated Code Generation With Guaranteed Correctness

https://github.com/vernamlab/FastSpec

공식 코드

FastSpec: Scalable Generation and Detection of Spectre Gadgets Using Neural Embeddings

https://github.com/veronicium/cmtrans

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Data Augmentation for Code Translation with Comparable Corpora and Multiple References

https://github.com/veronicium/codebenchgen

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CodeBenchGen: Creating Scalable Execution-based Code Generation Benchmarks

https://github.com/vinci-grape/rectifier

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Rectifier: Code Translation with Corrector via LLMs

https://github.com/vinsontang1/slidecoder

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SlideCoder: Layout-aware RAG-enhanced Hierarchical Slide Generation from Design

https://github.com/visioncortex/vtracer

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StarVector: Generating Scalable Vector Graphics Code from Images and Text

https://github.com/vita-group/chaincoder

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Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation

https://github.com/vl2g/floco

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Towards Making Flowchart Images Machine Interpretable

https://github.com/vyokky/LLM-Brained-GUI-Agents-Survey

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Large Language Model-Brained GUI Agents: A Survey

https://github.com/waithz/gw-moe

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GW-MoE: Resolving Uncertainty in MoE Router with Global Workspace Theory

https://github.com/walkermitty/emoava

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Towards Rich Emotions in 3D Avatars: A Text-to-3D Avatar Generation Benchmark

https://github.com/wanggljoseph/llm-se-project-study

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An Empirical Study on Usage and Perceptions of LLMs in a Software Engineering Project

https://github.com/wanghanbinpanda/codevision

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Code-Vision: Evaluating Multimodal LLMs Logic Understanding and Code Generation Capabilities

https://github.com/wanghuacan/repomaster

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RepoMaster: Autonomous Exploration and Understanding of GitHub Repositories for Complex Task Solving

https://github.com/wanglingxiang1298/CodeBC

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CodeBC: A More Secure Large Language Model for Smart Contract Code Generation in Blockchain

https://github.com/wasiahmad/PLBART

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Unified Pre-training for Program Understanding and Generation

https://github.com/wasiahmad/sumgentobt

공식 코드

Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages

https://github.com/wbsg-uni-mannheim/selfrefinement4extractgpt

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Automated Self-Refinement and Self-Correction for LLM-based Product Attribute Value Extraction

https://github.com/webpai/designbench

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DesignBench: A Comprehensive Benchmark for MLLM-based Front-end Code Generation

https://github.com/webpai/interaction2code

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Interaction2Code: Benchmarking MLLM-based Interactive Webpage Code Generation from Interactive Prototyping

https://github.com/weiji-feng/mad-eval

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Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition

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