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 501–550 of 1697 papers

TitleStatusHype
Evaluation of the Code Generation Capabilities of ChatGPT 4: A Comparative Analysis in 19 Programming LanguagesCode0
A Survey on Large Language Models with some Insights on their Capabilities and Limitations—0
Effective LLM-Driven Code Generation with PythonessCode1
Dynamic Scaling of Unit Tests for Code Reward Modeling—0
Automated Self-Refinement and Self-Correction for LLM-based Product Attribute Value ExtractionCode0
CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings—0
Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform—0
Enabling New HDLs with Agents—0
Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement—0
Efficiently Serving LLM Reasoning Programs with CertaindexCode3
HumanEval Pro and MBPP Pro: Evaluating Large Language Models on Self-invoking Code GenerationCode1
SecBench: A Comprehensive Multi-Dimensional Benchmarking Dataset for LLMs in Cybersecurity—0
Toward Intelligent and Secure Cloud: Large Language Model Empowered Proactive DefenseCode1
Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey—0
The Impact of Prompt Programming on Function-Level Code GenerationCode0
SocRATES: Towards Automated Scenario-based Testing of Social Navigation Algorithms—0
SketchFill: Sketch-Guided Code Generation for Imputing Derived Missing Values—0
Renaissance of Literate Programming in the Era of LLMs: Enhancing LLM-Based Code Generation in Large-Scale Projects—0
How Propense Are Large Language Models at Producing Code Smells? A Benchmarking Study—0
M-Ped: Multi-Prompt Ensemble Decoding for Large Language Models—0
Top General Performance = Top Domain Performance? DomainCodeBench: A Multi-domain Code Generation BenchmarkCode0
AutoDroid-V2: Boosting SLM-based GUI Agents via Code GenerationCode1
Cypress Copilot: Development of an AI Assistant for Boosting Productivity and Transforming Web Application Testing—0
Emerging Security Challenges of Large Language Models—0
AIGCodeSet: A New Annotated Dataset for AI Generated Code Detection—0
Beyond the Sum: Unlocking AI Agents Potential Through Market Forces—0
Why We Build Local Large Language Models: An Observational Analysis from 35 Japanese and Multilingual LLMs—0
HPC-Coder-V2: Studying Code LLMs Across Low-Resource Parallel Languages—0
Energy consumption of code small language models serving with runtime engines and execution providers—0
Tree-of-Code: A Tree-Structured Exploring Framework for End-to-End Code Generation and Execution in Complex Task Handling—0
Helping LLMs Improve Code Generation Using Feedback from Testing and Static Analysis—0
Reasoning Through Execution: Unifying Process and Outcome Rewards for Code GenerationCode1
Channel Merging: Preserving Specialization for Merged Experts—0
GenX: Mastering Code and Test Generation with Execution Feedback—0
Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution—0
Syzygy: Dual Code-Test C to (safe) Rust Translation using LLMs and Dynamic Analysis—0
ARTEMIS-DA: An Advanced Reasoning and Transformation Engine for Multi-Step Insight Synthesis in Data Analytics—0
AnalogXpert: Automating Analog Topology Synthesis by Incorporating Circuit Design Expertise into Large Language Models—0
An Exploratory Study of ML Sketches and Visual Code Assistants—0
Seed-CTS: Unleashing the Power of Tree Search for Superior Performance in Competitive Coding Tasks—0
PERC: Plan-As-Query Example Retrieval for Underrepresented Code Generation—0
Breaking the Programming Language Barrier: Multilingual Prompting to Empower Non-Native English Learners—0
Seeker: Towards Exception Safety Code Generation with Intermediate Language Agents FrameworkCode0
CoopetitiveV: Leveraging LLM-powered Coopetitive Multi-Agent Prompting for High-quality Verilog Generation—0
Optimizing AI-Assisted Code Generation—0
ChainStream: An LLM-based Framework for Unified Synthetic SensingCode1
Towards LLM-based optimization compilers. Can LLMs learn how to apply a single peephole optimization? Reasoning is all LLMs need!—0
Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar—0
DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production—0
MaestroMotif: Skill Design from Artificial Intelligence Feedback—0
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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