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 1551–1600 of 1697 papers

TitleStatusHype
A Hazard Analysis Framework for Code Synthesis Large Language Models—0
Investigating the Transferability of Code Repair for Low-Resource Programming Languages—0
DOMAINEVAL: An Auto-Constructed Benchmark for Multi-Domain Code Generation—0
The Role of GitHub Copilot on Software Development: A Perspective on Productivity, Security, Best Practices and Future Directions—0
Distilling Instruction-following Abilities of Large Language Models with Task-aware Curriculum Planning—0
Don't Mesh with Me: Generating Constructive Solid Geometry Instead of Meshes by Fine-Tuning a Code-Generation LLM—0
Do Prompt Patterns Affect Code Quality? A First Empirical Assessment of ChatGPT-Generated Code—0
Draw with Thought: Unleashing Multimodal Reasoning for Scientific Diagram Generation—0
DRC-Coder: Automated DRC Checker Code Generation Using LLM Autonomous Agent—0
The Safety Reminder: A Soft Prompt to Reactivate Delayed Safety Awareness in Vision-Language Models—0
Discovering Non-Monotonic Autoregressive Ordering for Text Generation Models using Sinkhorn Distributions—0
Digital ASIC Design with Ongoing LLMs: Strategies and Prospects—0
DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMs—0
DynaCode: A Dynamic Complexity-Aware Code Benchmark for Evaluating Large Language Models in Code Generation—0
Differentiable programming across the PDE and Machine Learning barrier—0
Dynamic Scaling of Unit Tests for Code Reward Modeling—0
Dialog for Language to Code—0
E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning—0
DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production—0
DevEval: Evaluating Code Generation in Practical Software Projects—0
The Self-Learning Agent with a Progressive Neural Network Integrated Transformer—0
EDA-Aware RTL Generation with Large Language Models—0
EDEN: A high-performance, general-purpose, NeuroML-based neural simulator—0
Edit Flows: Flow Matching with Edit Operations—0
EduBot -- Can LLMs Solve Personalized Learning and Programming Assignments?—0
Effective Large Language Model Debugging with Best-first Tree Search—0
Detection of LLM-Paraphrased Code and Identification of the Responsible LLM Using Coding Style Features—0
Design and implementation of a real-time onboard system for a stratospheric balloon mission using commercial off-the-self components and a model-based approach—0
Design2Code: Benchmarking Multimodal Code Generation for Automated Front-End Engineering—0
Efficacy of Various Large Language Models in Generating Smart Contracts—0
Efficient and Accurate In-Database Machine Learning with SQL Code Generation in Python—0
Efficient Avoidance of Vulnerabilities in Auto-completed Smart Contract Code Using Vulnerability-constrained Decoding—0
Deriving Coding-Specific Sub-Models from LLMs using Resource-Efficient Pruning—0
Efficient Model-agnostic Alignment via Bayesian Persuasion—0
Demo: SGCode: A Flexible Prompt-Optimizing System for Secure Generation of Code—0
Demonstrations of Integrity Attacks in Multi-Agent Systems—0
Eliciting Instruction-tuned Code Language Models' Capabilities to Utilize Auxiliary Function for Code Generation—0
Demo-Craft: Using In-Context Learning to Improve Code Generation in Large Language Models—0
Embedding Code Contexts for Cryptographic API Suggestion:New Methodologies and Comparisons—0
Emerging Security Challenges of Large Language Models—0
Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs—0
Empowering Business Transformation: The Positive Impact and Ethical Considerations of Generative AI in Software Product Management -- A Systematic Literature Review—0
Enabling High-Sparsity Foundational Llama Models with Efficient Pretraining and Deployment—0
Enabling New HDLs with Agents—0
Structured Chain-of-Thought Prompting for Code Generation—0
Defining and Evaluating Physical Safety for Large Language Models—0
Energy consumption of code small language models serving with runtime engines and execution providers—0
The use of Extract Morphology for Automatic Generation of Language Technology for Votic—0
Agent-as-a-Service based on Agent Network—0
Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey—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 + 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