Papers with Code 아카이브
Code Generation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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- 보존된 평가 기록
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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/ldilab/ArchCode
공식 코드ArchCode: Incorporating Software Requirements in Code Generation with Large Language Models
https://github.com/leililab/osca
공식 코드Scaling LLM Inference with Optimized Sample Compute Allocation
https://github.com/lemingshen/GPIoT
공식 코드GPIoT: Tailoring Small Language Models for IoT Program Synthesis and Development
https://github.com/letian2003/c-vqa
공식 코드What If the TV Was Off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models
https://github.com/li-group/optichat
공식 코드OptiChat: Bridging Optimization Models and Practitioners with Large Language Models
https://github.com/liangqingyuan/lyra
공식 코드https://github.com/likaixin2000/mmcode
공식 코드https://github.com/likenneth/q_probe
공식 코드Q-Probe: A Lightweight Approach to Reward Maximization for Language Models
https://github.com/lin-rany/codeIF
공식 코드https://github.com/lingkai981/oss-uagent
공식 코드OSS-UAgent: An Agent-based Usability Evaluation Framework for Open Source Software
https://github.com/liruiw/gensim
공식 코드GenSim: Generating Robotic Simulation Tasks via Large Language Models
https://github.com/lishangyu-hkust/osvbench
공식 코드OSVBench: Benchmarking LLMs on Specification Generation Tasks for Operating System Verification
https://github.com/lithiumda/codepde
공식 코드CodePDE: An Inference Framework for LLM-driven PDE Solver Generation
https://github.com/liturte/FALCON
공식 코드FALCON: Feedback-driven Adaptive Long/short-term memory reinforced Coding Optimization system
https://github.com/liu-hy/genotex
공식 코드GenoTEX: An LLM Agent Benchmark for Automated Gene Expression Data Analysis
https://github.com/lj2lijia/adapt
공식 코드Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models
https://github.com/llm-security-study/chatgpt
공식 코드An Investigation into Misuse of Java Security APIs by Large Language Models
https://github.com/lmous/openai-gpt4-coding-assistant
공식 코드https://github.com/logic-star-ai/swt-bench
공식 코드SWT-Bench: Testing and Validating Real-World Bug-Fixes with Code Agents
https://github.com/lt-asset/Waffle
공식 코드WAFFLE: Finetuning Multi-Modal Model for Automated Front-End Development
https://github.com/lt-asset/repocod
공식 코드Can Language Models Replace Programmers for Coding? REPOCOD Says 'Not Yet'
https://github.com/lucy66666/okt
공식 코드https://github.com/luuca78/llms4science
공식 코드LLMs for Science: Usage for Code Generation and Data Analysis
https://github.com/lux0926/asprm
공식 코드AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence
https://github.com/lyc127/rpg
공식 코드https://github.com/madaan/cocogen
공식 코드https://github.com/madaan/pie-perf
공식 코드https://github.com/magic-yuantian/selective-prompt-anchoring
공식 코드https://github.com/magnumresearchgroup/bash_gen
공식 코드NL2CMD: An Updated Workflow for Natural Language to Bash Commands Translation
https://github.com/magnumresearchgroup/magnum-nlc2cmd
공식 코드NL2CMD: An Updated Workflow for Natural Language to Bash Commands Translation
https://github.com/mahmoudkanazzal/PromSec
공식 코드https://github.com/marcusm117/IdentityChain
공식 코드Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain
https://github.com/markscanlonucd/chatgpt-for-digital-forensics
공식 코드ChatGPT for Digital Forensic Investigation: The Good, The Bad, and The Unknown
https://github.com/martin-wey/peft-llm-code
공식 코드Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models
https://github.com/marwanair/tinypy-generator
공식 코드Automatic Generation of Python Programs Using Context-Free Grammars
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