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
A Survey on LLM-based Code Generation for Low-Resource and Domain-Specific Programming Languages—0
SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models—0
SVSHI: Secure and Verified Smart Home Infrastructure—0
SwiftEval: Developing a Language-Specific Benchmark for LLM-generated Code Evaluation—0
SwingArena: Competitive Programming Arena for Long-context GitHub Issue Solving—0
swTVM: Towards Optimized Tensor Code Generation for Deep Learning on Sunway Many-Core Processor—0
Synergy of Large Language Model and Model Driven Engineering for Automated Development of Centralized Vehicular Systems—0
Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo—0
Synthesize, Partition, then Adapt: Eliciting Diverse Samples from Foundation Models—0
CodeLMSec Benchmark: Systematically Evaluating and Finding Security Vulnerabilities in Black-Box Code Language Models—0
Syzygy: Dual Code-Test C to (safe) Rust Translation using LLMs and Dynamic Analysis—0
T5QL: Taming language models for SQL generation—0
Tabular Embedding Model (TEM): Finetuning Embedding Models For Tabular RAG Applications—0
Taming the Expressiveness and Programmability of Graph Analytical Queries—0
TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs—0
Task-oriented Prompt Enhancement via Script Generation—0
Teaching Language Models to Critique via Reinforcement Learning—0
Technical Report for Argoverse2 Scenario Mining Challenges on Iterative Error Correction and Spatially-Aware Prompting—0
TeleChat Technical Report—0
TelecomGPT: A Framework to Build Telecom-Specfic Large Language Models—0
Tensor Slicing and Optimization for Multicore NPUs—0
Test Code Generation for Telecom Software Systems using Two-Stage Generative Model—0
Test-Driven Development for Code Generation—0
Test-driven Software Experimentation with LASSO: an LLM Prompt Benchmarking Example—0
Testing LLMs on Code Generation with Varying Levels of Prompt Specificity—0
Testing the Effect of Code Documentation on Large Language Model Code Understanding—0
Tests as Prompt: A Test-Driven-Development Benchmark for LLM Code Generation—0
Textbooks Are All You Need—0
Textbooks Are All You Need II: phi-1.5 technical report—0
Text Generation Beyond Discrete Token Sampling—0
Text-to-Code Generation with Modality-relative Pre-training—0
TFHE-Coder: Evaluating LLM-agentic Fully Homomorphic Encryption Code Generation—0
The Claude 3 Model Family: Opus, Sonnet, Haiku—0
The Counterfeit Conundrum: Can Code Language Models Grasp the Nuances of Their Incorrect Generations?—0
The Debugging Decay Index: Rethinking Debugging Strategies for Code LLMs—0
The Fire Thief Is Also the Keeper: Balancing Usability and Privacy in Prompts—0
The Future of AI: Exploring the Potential of Large Concept Models—0
The Future of MLLM Prompting is Adaptive: A Comprehensive Experimental Evaluation of Prompt Engineering Methods for Robust Multimodal Performance—0
The Hidden Risks of LLM-Generated Web Application Code: A Security-Centric Evaluation of Code Generation Capabilities in Large Language Models—0
The KoLMogorov Test: Compression by Code Generation—0
Themisto: Jupyter-Based Runtime Benchmark—0
The Role of GitHub Copilot on Software Development: A Perspective on Productivity, Security, Best Practices and Future Directions—0
The Safety Reminder: A Soft Prompt to Reactivate Delayed Safety Awareness in Vision-Language Models—0
The Self-Learning Agent with a Progressive Neural Network Integrated Transformer—0
The use of Extract Morphology for Automatic Generation of Language Technology for Votic—0
Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement—0
Think Outside the Code: Brainstorming Boosts Large Language Models in Code Generation—0
Tidal MerzA: Combining affective modelling and autonomous code generation through Reinforcement Learning—0
To Code, or Not To Code? Exploring Impact of Code in Pre-training—0
ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use—0
Show:102550
← PrevPage 26 of 34Next →
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 + Gemini 1.5 Propass@130—Unverified
6QurrentOS-coder + GPT-4pass@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