SOTAVerified

Code Generation

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1251–1300 of 1697 papers

TitleStatusHype
PromptWise: Online Learning for Cost-Aware Prompt Assignment in Generative Models—0
Automated Proof Generation for Rust Code via Self-Evolution—0
A Case Study of LLVM-Based Analysis for Optimizing SIMD Code Generation—0
Automated Physics-Derived Code Generation for Sensor Fusion and State Estimation—0
Prose-to-P4: Leveraging High Level Languages—0
ProtocolLLM: RTL Benchmark for SystemVerilog Generation of Communication Protocols—0
Automated LaTeX Code Generation from Handwritten Math Expressions Using Vision Transformer—0
Proving the Coding Interview: A Benchmark for Formally Verified Code Generation—0
Pseudocode-Injection Magic: Enabling LLMs to Tackle Graph Computational Tasks—0
Automated Code generation for Information Technology Tasks in YAML through Large Language Models—0
Pyramid Coder: Hierarchical Code Generator for Compositional Visual Question Answering—0
PyraNet: A Multi-Layered Hierarchical Dataset for Verilog—0
Python-Based Reinforcement Learning on Simulink Models—0
QHackBench: Benchmarking Large Language Models for Quantum Code Generation Using PennyLane Hackathon Challenges—0
Automated Code Generation and Validation for Software Components of Microcontrollers—0
QiMeng-Xpiler: Transcompiling Tensor Programs for Deep Learning Systems with a Neural-Symbolic Approach—0
Qiskit HumanEval: An Evaluation Benchmark For Quantum Code Generative Models—0
Automated C/C++ Program Repair for High-Level Synthesis via Large Language Models—0
The Fault in our Stars: Quality Assessment of Code Generation Benchmarks—0
QualityFlow: An Agentic Workflow for Program Synthesis Controlled by LLM Quality Checks—0
AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models—0
Quantitatively Assessing the Benefits of Model-driven Development in Agent-based Modeling and Simulation—0
Autocomp: LLM-Driven Code Optimization for Tensor Accelerators—0
AutoChunk: Automated Activation Chunk for Memory-Efficient Long Sequence Inference—0
A Technical Study into Small Reasoning Language Models—0
A System for Automated Unit Test Generation Using Large Language Models and Assessment of Generated Test Suites—0
Random Hash Code Generation for Cancelable Fingerprint Templates using Vector Permutation and Shift-order Process—0
A Systematic Evaluation of Large Language Models for Natural Language Generation Tasks—0
Comparing large language models and human programmers for generating programming code—0
A Survey on Large Language Models with some Insights on their Capabilities and Limitations—0
Real2Code: Reconstruct Articulated Objects via Code Generation—0
Real-time Nonlinear MPC Strategy with Full Vehicle Validation for Autonomous Driving—0
Reasoning as a Resource: Optimizing Fast and Slow Thinking in Code Generation Models—0
NPAS: A Compiler-aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration—0
Large Language Models for Code Generation: A Comprehensive Survey of Challenges, Techniques, Evaluation, and Applications—0
A Survey of using Large Language Models for Generating Infrastructure as Code—0
A Survey of Machine Learning for Computer Architecture and Systems—0
Recurrently Controlling a Recurrent Network with Recurrent Networks Controlled by More Recurrent Networks—0
A Survey for Foundation Models in Autonomous Driving—0
RefineCoder: Iterative Improving of Large Language Models via Adaptive Critique Refinement for Code Generation—0
Refining Integration-by-Parts Reduction of Feynman Integrals with Machine Learning—0
A Study on the Improvement of Code Generation Quality Using Large Language Models Leveraging Product Documentation—0
A Study of Vulnerability Repair in JavaScript Programs with Large Language Models—0
Register Your Forests: Decision Tree Ensemble Optimization by Explicit CPU Register Allocation—0
Learning UI-to-Code Reverse Generator Using Visual Critic Without Rendering—0
Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation—0
Reinforcing the Diffusion Chain of Lateral Thought with Diffusion Language Models—0
Relevance Transformer: Generating Concise Code Snippets with Relevance Feedback—0
Renaissance of Literate Programming in the Era of LLMs: Enhancing LLM-Based Code Generation in Large-Scale Projects—0
Rendering-Aware Reinforcement Learning for Vector Graphics Generation—0
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All datasetsMBPPAPPSCoNaLaDjangoWikiSQLRES-QCodeContestsHumanEvalPECCWebApp1K-ReactCoNaLa-ExtWebApp1k-Duo-React

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EG-CFG (DeepSeek-V3-0324)Accuracy96.6—Unverified
2QualityFlow (Sonnet-3.5)Accuracy94.2—Unverified
3o1-mini + MapCoder (Hamming.ai)Accuracy93.2—Unverified
4MGDebugger (DeepSeek-V3-0324)Accuracy92.4—Unverified
5GPT-4 + AgentCoderAccuracy91.8—Unverified
6CodeSim (GPT4o)Accuracy90.7—Unverified
7Jiutian-大模型Accuracy90—Unverified
8GPT-3.5 Turbo (ChatGPT) + AgentCoderAccuracy89.9—Unverified
9MapCoder (GPT-4o)Accuracy89.7—Unverified
10GPT-4 (ChatGPT Plus)Accuracy87.5—Unverified
#ModelMetricClaimedVerifiedStatus
1LPW (GPT-4o)Introductory Pass@187.2—Unverified
2MoTCoder-32B-V1.5Introductory Pass@168.44—Unverified
3MoTCoder-7B-V1.5Introductory Pass@154.26—Unverified
4code-davinci-002 175B (CodeT)Introductory Pass@147.3—Unverified
5deepseek-ai/deepseek-coder-6.7b-instructIntroductory Pass@133.8—Unverified
6code-davinci-002 175BIntroductory Pass@131.92—Unverified
7CodeChain+WizardCoder-15bIntroductory Pass@129.3—Unverified
8WizardCoder-15bIntroductory Pass@126.29—Unverified
9CodeSim (GPT4)Introductory Pass@126.04—Unverified
10AlphaCode 1B Filtered from 50000Competition Pass@any22—Unverified
#ModelMetricClaimedVerifiedStatus
1PanGu-Coder-FT-IBLEU44.32—Unverified
2RoBERTaMarianBLEU35.74—Unverified
3MarianCGBLEU34.43—Unverified
4TranX + BERT w/minedBLEU34.2—Unverified
5BERT + TAEBLEU33.41—Unverified
6BERTMarianBLEU32.46—Unverified
7External Knowledge With API + RerankingBLEU32.26—Unverified
8External Knowledge With APIBLEU30.69—Unverified
9BART W/ MinedBLEU30.55—Unverified
10ELECTRAMarianBLEU30.18—Unverified
#ModelMetricClaimedVerifiedStatus
1MarianCGAccuracy81.83—Unverified
2BERT + TAEAccuracy81.03—Unverified
3TranX + BERT w/minedAccuracy81.03—Unverified
4RerankerAccuracy80.2—Unverified
5LUKEMarianAccuracy78.5—Unverified
6RoBERTaMarianAccuracy77.95—Unverified
7BERTMarianAccuracy76.68—Unverified
8TranxAccuracy73.7—Unverified
9ELECTRAMarianAccuracy65.32—Unverified
10lpn (Ling et al., 2016)Accuracy62.3—Unverified
#ModelMetricClaimedVerifiedStatus
1NL2SQL-RULEExecution Accuracy89.2—Unverified
2TypeSQL+TC (Yu et al., 2018)+Execution Accuracy82.6—Unverified
3TranxExecution Accuracy78.6—Unverified
4STAMP+RL (Sun et al., 2018)+Execution Accuracy74.6—Unverified
5STAMP (Sun et al., 2018)+Execution Accuracy74.4—Unverified
6TypeSQL (Yu et al., 2018)Execution Accuracy73.5—Unverified
7PT-MAML (Huang et al., 2018)Execution Accuracy68—Unverified
8Bidirectional Attention for SQL GenerationExecution Accuracy62.5—Unverified
9Seq2SQL (Zhong et al., 2017)Execution Accuracy59.4—Unverified
10Seq2Seq (Zhong et al., 2017)Execution Accuracy35.9—Unverified
#ModelMetricClaimedVerifiedStatus
1QurrentOS-coder + Claude 3.5 Sonnetpass@158—Unverified
2QurrentOS-coder + GPT-4opass@146—Unverified
3QurrentOS-coder + GPT-4 Turbopass@137—Unverified
4QurrentOS-coder + Claude 3 Opuspass@136—Unverified
5QurrentOS-coder + GPT-4pass@130—Unverified
6QurrentOS-coder + Gemini 1.5 Propass@130—Unverified
7QurrentOS-coder + DeepSeek-Coder-V2pass@129—Unverified
8QurrentOS-coder + Llama 3 70bpass@120—Unverified
9QurrentOS-coder + Qwen-72B-Instructpass@118—Unverified
#ModelMetricClaimedVerifiedStatus
1EG-CFG (DeepSeek-V3-0324)Test Set pass@158.18—Unverified
2LPW (GPT-4o)Test Set pass@134.7—Unverified
3MapCoder (GPT-4)Test Set pass@128.5—Unverified
4CodeSim (GPT4)Test Set pass@128.4—Unverified
5MoTCoder-15BTest Set pass@126.34—Unverified
6MoTCoder-7B-v1.5Test Set pass@120.77—Unverified
7CodeChain + WizardCoder-15BTest Set pass@12.35—Unverified
8WizardCoder-15BTest Set pass@11.11—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepSeek-R1 (MGDebugger)Pass@1100—Unverified
2LLaMA 3Pass@199.4—Unverified
3QualityFlow (Sonnet-3.5)Pass@198.8—Unverified
4Phi-2Pass@198.2—Unverified
5EG-CFG (DeepSeek-V3-0324)Pass@196.95—Unverified
6Mistral 7BPass@193.9—Unverified
7Claude Sonnet 3.5Pass@190.85—Unverified
8L2MAC (GPT-4)Pass@190.2—Unverified
#ModelMetricClaimedVerifiedStatus
1Claude 3 HaikuPass@327.67—Unverified
2GPT-3.5 TurboPass@323.75—Unverified
3codechat-bisonPass@311.39—Unverified
4chat-bisonPass@38.48—Unverified
5Mixtral-8x7B-InstructPass@38.35—Unverified
6Phi-3-mini-128k-instructPass@37.18—Unverified
7WizardLM-2-7BPass@33.72—Unverified
8Llama-3-8B-InstructPass@33.1—Unverified
#ModelMetricClaimedVerifiedStatus
1o1-previewpass@10.95—Unverified
2o1-minipass@10.94—Unverified
3gpt-4o-2024-08-06pass@10.89—Unverified
4claude-3.5-sonnetpass@10.88—Unverified
5deepseek-v2.5pass@10.83—Unverified
6mistral-large-2pass@10.78—Unverified
7deepseek-coder-v2-instructpass@10.7—Unverified
8llama-v3p1-405b-instructpass@10.3—Unverified
#ModelMetricClaimedVerifiedStatus
1BART W/ MinedBLEU35.32—Unverified
2BART BaseBLEU34.35—Unverified
3External Knowledge With API + RerankingBLEU20.54—Unverified
4External Knowledge With APIBLEU20.37—Unverified
5RerankerBLEU19.85—Unverified
6TranXBLEU18.85—Unverified
#ModelMetricClaimedVerifiedStatus
1claude-3-5-sonnetpass@10.68—Unverified
2o1-minipass@10.67—Unverified