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
Exploring Combinatorial Problem Solving with Large Language Models: A Case Study on the Travelling Salesman Problem Using GPT-3.5 Turbo—0
Aptly: Making Mobile Apps from Natural Language—0
Tabular Embedding Model (TEM): Finetuning Embedding Models For Tabular RAG Applications—0
On the Limitations of Embedding Based Methods for Measuring Functional Correctness for Code Generation—0
"ChatGPT Is Here to Help, Not to Replace Anybody" -- An Evaluation of Students' Opinions On Integrating ChatGPT In CS Courses—0
Digital ASIC Design with Ongoing LLMs: Strategies and Prospects—0
OpTC -- A Toolchain for Deployment of Neural Networks on AURIX TC3xx Microcontrollers—0
CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code—0
Beyond Code Generation: An Observational Study of ChatGPT Usage in Software Engineering Practice—0
Towards smaller, faster decoder-only transformers: Architectural variants and their implicationsCode0
Assessing GPT-4-Vision's Capabilities in UML-Based Code Generation—0
Large Language Models as Test Case Generators: Performance Evaluation and EnhancementCode0
Low-Cost Language Models: Survey and Performance Evaluation on Python Code Generation—0
Is DPO Superior to PPO for LLM Alignment? A Comprehensive Study—0
The Fault in our Stars: Quality Assessment of Code Generation Benchmarks—0
Test Code Generation for Telecom Software Systems using Two-Stage Generative Model—0
CreativEval: Evaluating Creativity of LLM-Based Hardware Code Generation—0
A Multi-Expert Large Language Model Architecture for Verilog Code Generation—0
Sketch-Plan-Generalize: Learning and Planning with Neuro-Symbolic Programmatic Representations for Inductive Spatial Concepts—0
CodeFort: Robust Training for Code Generation Models—0
Comments as Natural Logic Pivots: Improve Code Generation via Comment PerspectiveCode0
Register Your Forests: Decision Tree Ensemble Optimization by Explicit CPU Register Allocation—0
Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy CompetitionCode0
Analyzing the Performance of Large Language Models on Code SummarizationCode0
BISCUIT: Scaffolding LLM-Generated Code with Ephemeral UIs in Computational Notebooks—0
WebCode2M: A Real-World Dataset for Code Generation from Webpage Designs—0
Synergy of Large Language Model and Model Driven Engineering for Automated Development of Centralized Vehicular Systems—0
VoicePilot: Harnessing LLMs as Speech Interfaces for Physically Assistive Robots—0
An Investigation into Misuse of Java Security APIs by Large Language ModelsCode0
Testing the Effect of Code Documentation on Large Language Model Code Understanding—0
Exploring and Evaluating Hallucinations in LLM-Powered Code Generation—0
The Larger the Better? Improved LLM Code-Generation via Budget ReallocationCode0
CodeBenchGen: Creating Scalable Execution-based Code Generation BenchmarksCode0
A Survey of using Large Language Models for Generating Infrastructure as Code—0
DataAgent: Evaluating Large Language Models' Ability to Answer Zero-Shot, Natural Language Queries—0
MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution—0
To Err is Machine: Vulnerability Detection Challenges LLM Reasoning—0
Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback—0
SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents—0
CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing—0
Enhancing Programming Education with ChatGPT: A Case Study on Student Perceptions and Interactions in a Python Course—0
Enhancing Formal Theorem Proving: A Comprehensive Dataset for Training AI Models on Coq Code—0
A Study of Vulnerability Repair in JavaScript Programs with Large Language Models—0
Linguacodus: A Synergistic Framework for Transformative Code Generation in Machine Learning Pipelines—0
Exploring Language Model's Code Generation Ability with Auxiliary Functions—0
Software Vulnerability and Functionality Assessment using LLMs—0
Bugs in Large Language Models Generated Code: An Empirical StudyCode0
Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM—0
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code—0
Materials science in the era of large language models: a perspective—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