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 201–250 of 1697 papers

TitleStatusHype
R1-Code-Interpreter: Training LLMs to Reason with Code via Supervised and Reinforcement LearningCode1
ReChisel: Effective Automatic Chisel Code Generation by LLM with ReflectionCode1
Compliance-to-Code: Enhancing Financial Compliance Checking via Code GenerationCode1
SWE-rebench: An Automated Pipeline for Task Collection and Decontaminated Evaluation of Software Engineering AgentsCode1
Win Fast or Lose Slow: Balancing Speed and Accuracy in Latency-Sensitive Decisions of LLMsCode1
Mind the Gap: A Practical Attack on GGUF QuantizationCode1
FullFront: Benchmarking MLLMs Across the Full Front-End Engineering WorkflowCode1
CLEVER: A Curated Benchmark for Formally Verified Code GenerationCode1
EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated CodeCode1
AGI-Elo: How Far Are We From Mastering A Task?Code1
HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM SystemsCode1
VeriReason: Reinforcement Learning with Testbench Feedback for Reasoning-Enhanced Verilog GenerationCode1
VeriThoughts: Enabling Automated Verilog Code Generation using Reasoning and Formal VerificationCode1
Rethinking Repetition Problems of LLMs in Code GenerationCode1
Rewriting Pre-Training Data Boosts LLM Performance in Math and CodeCode1
OSVBench: Benchmarking LLMs on Specification Generation Tasks for Operating System VerificationCode1
Reviving Any-Subset Autoregressive Models with Principled Parallel Sampling and Speculative DecodingCode1
AutoP2C: An LLM-Based Agent Framework for Code Repository Generation from Multimodal Content in Academic PapersCode1
ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware DevelopmentCode1
Data-efficient LLM Fine-tuning for Code GenerationCode1
A Dual-Space Framework for General Knowledge Distillation of Large Language ModelsCode1
TuRTLe: A Unified Evaluation of LLMs for RTL GenerationCode1
MaintainCoder: Maintainable Code Generation Under Dynamic RequirementsCode1
BigO(Bench) -- Can LLMs Generate Code with Controlled Time and Space Complexity?Code1
ProjectEval: A Benchmark for Programming Agents Automated Evaluation on Project-Level Code GenerationCode1
RepoST: Scalable Repository-Level Coding Environment Construction with Sandbox TestingCode1
DependEval: Benchmarking LLMs for Repository Dependency UnderstandingCode1
GPIoT: Tailoring Small Language Models for IoT Program Synthesis and DevelopmentCode1
Multi-Turn Code Generation Through Single-Step RewardsCode1
CodeIF: Benchmarking the Instruction-Following Capabilities of Large Language Models for Code GenerationCode1
CodeCriticBench: A Holistic Code Critique Benchmark for Large Language ModelsCode1
I-MCTS: Enhancing Agentic AutoML via Introspective Monte Carlo Tree SearchCode1
AdaptiveStep: Automatically Dividing Reasoning Step through Model ConfidenceCode1
Uncovering the Impact of Chain-of-Thought Reasoning for Direct Preference Optimization: Lessons from Text-to-SQLCode1
Code-Vision: Evaluating Multimodal LLMs Logic Understanding and Code Generation CapabilitiesCode1
Enhancing Cross-Tokenizer Knowledge Distillation with Contextual Dynamical MappingCode1
BenchMAX: A Comprehensive Multilingual Evaluation Suite for Large Language ModelsCode1
nvAgent: Automated Data Visualization from Natural Language via Collaborative Agent WorkflowCode1
C codegen considered unnecessary: go directly to binary, do not pass C. Compilation of Julia code for deployment in model-based engineeringCode1
o3-mini vs DeepSeek-R1: Which One is Safer?Code1
Towards Making Flowchart Images Machine InterpretableCode1
ChaosEater: Fully Automating Chaos Engineering with Large Language ModelsCode1
CWEval: Outcome-driven Evaluation on Functionality and Security of LLM Code GenerationCode1
Effective LLM-Driven Code Generation with PythonessCode1
Toward Intelligent and Secure Cloud: Large Language Model Empowered Proactive DefenseCode1
HumanEval Pro and MBPP Pro: Evaluating Large Language Models on Self-invoking Code GenerationCode1
AutoDroid-V2: Boosting SLM-based GUI Agents via Code GenerationCode1
Reasoning Through Execution: Unifying Process and Outcome Rewards for Code GenerationCode1
ChainStream: An LLM-based Framework for Unified Synthetic SensingCode1
Towards Rich Emotions in 3D Avatars: A Text-to-3D Avatar Generation BenchmarkCode1
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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