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 451–500 of 1697 papers

TitleStatusHype
Toward Neurosymbolic Program Comprehension—0
Importing Phantoms: Measuring LLM Package Hallucination Vulnerabilities—0
Towards Adaptive Self-Improvement for Smarter Energy Systems—0
Analysis of LLMs vs Human Experts in Requirements Engineering—0
Cogito, ergo sum: A Neurobiologically-Inspired Cognition-Memory-Growth System for Code GenerationCode0
Enhancing Large Language Model Efficiencyvia Symbolic Compression: A Formal Approach Towards Interpretability—0
Statistical multi-metric evaluation and visualization of LLM system predictive performance—0
o3-mini vs DeepSeek-R1: Which One is Safer?Code1
GLLM: Self-Corrective G-Code Generation using Large Language Models with User Feedback—0
Using Code Generation to Solve Open Instances of Combinatorial Design ProblemsCode0
Towards Making Flowchart Images Machine InterpretableCode1
CoCoNUT: Structural Code Understanding does not fall out of a treeCode0
Programming by Examples Meets Historical Linguistics: A Large Language Model Based Approach to Sound Law Induction—0
Advancing Generative Artificial Intelligence and Large Language Models for Demand Side Management with Internet of Electric Vehicles—0
ENTER: Event Based Interpretable Reasoning for VideoQA—0
Chain of Grounded Objectives: Bridging Process and Goal-oriented Prompting for Code Generation—0
Pseudocode-Injection Magic: Enabling LLMs to Tackle Graph Computational Tasks—0
Correctness Assessment of Code Generated by Large Language Models Using Internal RepresentationsCode0
Revisit Self-Debugging with Self-Generated Tests for Code Generation—0
QualityFlow: An Agentic Workflow for Program Synthesis Controlled by LLM Quality Checks—0
Consolidating TinyML Lifecycle with Large Language Models: Reality, Illusion, or Opportunity?—0
Towards Advancing Code Generation with Large Language Models: A Research Roadmap—0
GREEN-CODE: Learning to Optimize Energy Efficiency in LLM-based Code GenerationCode0
ChaosEater: Fully Automating Chaos Engineering with Large Language ModelsCode1
SOP-Agent: Empower General Purpose AI Agent with Domain-Specific SOPs—0
OptiChat: Bridging Optimization Models and Practitioners with Large Language ModelsCode2
The Invisible Hand: Unveiling Provider Bias in Large Language Models for Code Generation—0
CWEval: Outcome-driven Evaluation on Functionality and Security of LLM Code GenerationCode1
Leveraging Metamemory Mechanisms for Enhanced Data-Free Code Generation in LLMs—0
Evaluating Agent-based Program Repair at Google—0
ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code GenerationCode2
Guided Code Generation with LLMs: A Multi-Agent Framework for Complex Code Tasks—0
Dafny as Verification-Aware Intermediate Language for Code Generation—0
BioAgents: Democratizing Bioinformatics Analysis with Multi-Agent Systems—0
FairCoder: Evaluating Social Bias of LLMs in Code GenerationCode0
Deriving Coding-Specific Sub-Models from LLMs using Resource-Efficient Pruning—0
Search-o1: Agentic Search-Enhanced Large Reasoning ModelsCode5
The Future of AI: Exploring the Potential of Large Concept Models—0
Do Code LLMs Understand Design Patterns?—0
Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation—0
EpiCoder: Encompassing Diversity and Complexity in Code Generation—0
Practical Design and Benchmarking of Generative AI Applications for Surgical Billing and Coding—0
How to Select Pre-Trained Code Models for Reuse? A Learning PerspectiveCode0
ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono—0
RTLSquad: Multi-Agent Based Interpretable RTL Design—0
CodeVision: Detecting LLM-Generated Code Using 2D Token Probability Maps and Vision Models—0
Semantic Captioning: Benchmark Dataset and Graph-Aware Few-Shot In-Context Learning for SQL2TextCode0
ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use—0
Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack DefenseCode0
Cracks in The Stack: Hidden Vulnerabilities and Licensing Risks in LLM Pre-Training Datasets—0
Show:102550
← PrevPage 10 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