Name | Time | HumanEval | MBPP | Paper | link |
---|---|---|---|---|---|
CodeX | 2107 | Evaluating Large Language Models Trained on Code | |||
CodeT5 | 2109 | CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation | |||
JuPyT5 | 2201 | Training and Evaluating a Jupyter Notebook Data Science Assistant | |||
PolyCoder | 2202 | A Systematic Evaluation of Large Language Models of Code | |||
AlphaCode | 2203 | Competition-Level Code Generation with AlphaCode | |||
CodeGen | 2203 | CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis | |||
InCoder | 2204 | InCoder: A Generative Model for Code Infilling and Synthesis | |||
MBR | 2204 | Natural Language to Code Translation with Execution | |||
PyCodeGPT | 2206 | CERT:Continual Pre-Training on Sketches for Library-Oriented Code Generation | |||
CodeRL | 2207 | CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning | |||
PanguCoder | 2207 | PanGu-Coder: Program Synthesis with Function-Level Language Modeling | |||
Coder Reviewer Reranking | 2211 | Coder Reviewer Reranking for Code Generation | |||
GPT-3.5 | 2211 | ||||
ERNIECode | 2212 | ERNIE-Code: Beyond English-Centric Cross-lingual Pretraining for Programming Languages | |||
PPOCoder | 2301 | Execution-based Code Generation using Deep Reinforcement Learning | |||
SantaCoder | 2301 | SantaCoder: don't reach for the stars! | |||
Lever | 2302 | LEVER: Learning to Verify Language-to-Code Generation with Execution | |||
svGen | 2302 | Large Language Models for Code: Security Hardening and Adversarial Testing | |||
CodeGeeX | 2303 | CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Evaluations on HumanEval-X | |||
GPT-4 | 2303 | GPT-4 Technical Report | |||
Reflexion(GPT4) | 2303 | Reflexion: Language Agents with Verbal Reinforcement Learning | |||
Self-Debug | 2304 | Teaching Large Language Models to Self-Debug | |||
ANPL | 2305 | ANPL: Towards Natural Programming with Interactive Decomposition | |||
ChainCoder | 2305 | Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation | |||
CodeGen2 | 2305 | CodeGen2: Lessons for Training LLMs on Programming and Natural Languages | |||
CodeT5+ | 2305 | CodeT5+: Open Code Large Language Models for Code Understanding and Generation | |||
StarCoder | 2305 | StarCoder: may the source be with you! | |||
Phi1 | 2306 | Textbooks Are All You Need | |||
WizardCoder | 2306 | WizardCoder: Empowering Code Large Language Models with Evol-Instruct | |||
PanguCoder2 | 2307 | PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback | |||
CodeLlama | 2308 | Code Llama: Open Foundation Models for Code | |||
OctoPack | 2308 | OctoPack: Instruction Tuning Code Large Language Models | |||
Phi1.5 | 2309 | Textbooks Are All You Need II: phi-1.5 technical report | |||
CodeChain | 2310 | CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules | |||
CodeFuse | 2310 | CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model | |||
L2MAC | 2310 | L2MAC: Large Language Model Automatic Computer for Extensive Code Generation | |||
Intervenor | 2311 | INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair | |||
MFTCoder | 2311 | MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning | |||
RLTF | 2311 | RLTF: Reinforcement Learning from Unit Test Feedback | |||
SRank | 2311 | Neural Code Generation Enhancement via Functional Overlap Reranking | |||
AgentCoder | 2312 | AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation | |||
AlphaCode2 | 2312 | AlphaCode 2 Technical Report | |||
MagicCoder | 2312 | Magicoder: Source Code Is All You Need | |||
MoTCoder | 2312 | MoTCoder: Elevating Large Language Models with Modular of Thought for Challenging Programming Tasks | |||
WaveCoder | 2312 | WaveCoder: Widespread And Versatile Enhanced Instruction Tuning with Refined Data Generation | |||
AlphaCodium | 2401 | Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering | |||
AST-T5 | 2401 | AST-T5: Structure-Aware Pretraining for Code Generation and Understanding | |||
DeepSeekCoder | 2401 | DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence | |||
JumpCoder | 2401 | JumpCoder: Go Beyond Autoregressive Coder via Online Modification | |||
Personalised Distillation | 2401 | Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation | |||
ToolGen | 2401 | Teaching Code LLMs to Use Autocompletion Tools in Repository-Level Code Generation | |||
CodeS | 2402 | CodeS: Towards Building Open-source Language Models for Text-to-SQL | |||
LDB | 2402 | LDB: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step | |||
OpenCodeInterpreter | 2402 | OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement | |||
StarCoder2 | 2402 | StarCoder 2 and The Stack v2: The Next Generation | |||
StepCoder | 2402 | StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback | |||
CodeShell | 2403 | CodeShell Technical Report | |||
LCG | 2403 | When LLM-based Code Generation Meets the Software Development Process | |||
ProCoder | 2403 | Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback | |||
QwenCoder1.5 | 2404 | ||||
Self-Organized Agents | 2404 | Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization | |||
StableCode | 2404 | Stable Code Technical Report |
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