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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/akanyaani/miniLLAMA

LLaMA: Open and Efficient Foundation Language Models

https://github.com/alexattia/ExtendedTinyFaces

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

https://github.com/alibaba/graph-gpt

dKV-Cache: The Cache for Diffusion Language Models

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

Teaching Large Language Models to Self-Debug

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

ContraCLM: Contrastive Learning For Causal Language Model

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

Multi-lingual Evaluation of Code Generation Models

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

Teaching Large Language Models to Self-Debug

https://github.com/aminatadjer/test

CodeBERT: A Pre-Trained Model for Programming and Natural Languages

https://github.com/ana-oprescu/greenllms

StarCoder 2 and The Stack v2: The Next Generation

https://github.com/aozhongzhang/magr

LLaMA: Open and Efficient Foundation Language Models

https://github.com/arsfutura/face-recognition

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

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

CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation

https://github.com/badaro48/documents

pix2code: Generating Code from a Graphical User Interface Screenshot

https://github.com/batsresearch/alfred

LLaMA: Open and Efficient Foundation Language Models

https://github.com/benediktstroebl/inference-scaling-limits

Beyond Correctness: Benchmarking Multi-dimensional Code Generation for Large Language Models

https://github.com/beomi/koalpaca

LLaMA: Open and Efficient Foundation Language Models

https://github.com/bielcarvalho/RPII-EP

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

https://github.com/bigcode-project/starcoder2

StarCoder 2 and The Stack v2: The Next Generation

https://github.com/bigcode-project/starcoder2-self-align

SelfCodeAlign: Self-Alignment for Code Generation

https://github.com/bravegroup/sheetcopilot

SheetCopilot: Bringing Software Productivity to the Next Level through Large Language Models

https://github.com/brucewlee/lftk

Benchmarking and Explaining Large Language Model-based Code Generation: A Causality-Centric Approach

https://github.com/caoyingkui/TreeGen

TreeGen: A Tree-Based Transformer Architecture for Code Generation

https://github.com/chaoyi-wu/finetune_llama

LLaMA: Open and Efficient Foundation Language Models

https://github.com/chaoyi-wu/pmc-llama

LLaMA: Open and Efficient Foundation Language Models

https://github.com/chrisociepa/allamo

PaLM: Scaling Language Modeling with Pathways

https://github.com/coastalcph/eu-politics-llms

Llama 2: Open Foundation and Fine-Tuned Chat Models

https://github.com/code-desc/codesc

Unsupervised Translation of Programming Languages

https://github.com/code-gen/cgcs

Code Generation as a Dual Task of Code Summarization

https://github.com/codedotal/gpt-code-clippy

Measuring Coding Challenge Competence With APPS

https://github.com/codefuse-ai/codefuse-evaluation

CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

https://github.com/codeguardplus/codeguardplus

Asleep at the Keyboard? Assessing the Security of GitHub Copilot's Code Contributions

https://github.com/codelion/optillm/blob/main/optillm/plansearch.py

Planning In Natural Language Improves LLM Search For Code Generation

https://github.com/colonel-aureliano/excel-agent

MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

https://github.com/commissarsilver/cvt

Asleep at the Keyboard? Assessing the Security of GitHub Copilot's Code Contributions

https://github.com/conceptofmind/LaMDA-pytorch

LaMDA: Language Models for Dialog Applications

https://github.com/conceptofmind/PaLM-flax

PaLM: Scaling Language Modeling with Pathways

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.