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
TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code GenerationCode1
Neural Machine Translation for Query Construction and CompositionCode1
StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic ParsingCode1
A parallel corpus of Python functions and documentation strings for automated code documentation and code generationCode1
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional NetworksCode1
Latent Predictor Networks for Code GenerationCode1
CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning—0
Towards Formal Verification of LLM-Generated Code from Natural Language Prompts—0
MERA Code: A Unified Framework for Evaluating Code Generation Across Tasks—0
Scaling Up RL: Unlocking Diverse Reasoning in LLMs via Prolonged Training—0
CodeJudgeBench: Benchmarking LLM-as-a-Judge for Coding Tasks—0
Turning the Tide: Repository-based Code Reflection—0
CodeAssistBench (CAB): Dataset & Benchmarking for Multi-turn Chat-Based Code Assistance—0
OpenCodeReasoning-II: A Simple Test Time Scaling Approach via Self-Critique—0
Multilingual Multimodal Software Developer for Code Generation—0
Automating MD simulations for Proteins using Large language Models: NAMD-Agent—0
Learn Globally, Speak Locally: Bridging the Gaps in Multilingual Reasoning—0
ArtifactsBench: Bridging the Visual-Interactive Gap in LLM Code Generation Evaluation—0
CORE: Benchmarking LLMs Code Reasoning Capabilities through Static Analysis Tasks—0
LLM-based Realistic Safety-Critical Driving Video Generation—0
A Large Language Model-Empowered Agent for Reliable and Robust Structural Analysis—0
Where to find Grokking in LLM Pretraining? Monitor Memorization-to-Generalization without Test—0
Estimating Correctness Without Oracles in LLM-Based Code GenerationCode0
SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models—0
SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization—0
From Reproduction to Replication: Evaluating Research Agents with Progressive Code MaskingCode0
QHackBench: Benchmarking Large Language Models for Quantum Code Generation Using PennyLane Hackathon Challenges—0
Why Do Open-Source LLMs Struggle with Data Analysis? A Systematic Empirical Study—0
The Debugging Decay Index: Rethinking Debugging Strategies for Code LLMs—0
Use Property-Based Testing to Bridge LLM Code Generation and Validation—0
Steering Conceptual Bias via Transformer Latent-Subspace Activation—0
RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation—0
Massive Supervised Fine-tuning Experiments Reveal How Data, Layer, and Training Factors Shape LLM Alignment Quality—0
A Technical Study into Small Reasoning Language Models—0
How Does LLM Reasoning Work for Code? A Survey and a Call to Action—0
FrontendBench: A Benchmark for Evaluating LLMs on Front-End Development via Automatic Evaluation—0
LocationReasoner: Evaluating LLMs on Real-World Site Selection ReasoningCode0
Structured Program Synthesis using LLMs: Results and Insights from the IPARC Challenge—0
The Safety Reminder: A Soft Prompt to Reactivate Delayed Safety Awareness in Vision-Language Models—0
SWE-Bench-CL: Continual Learning for Coding AgentsCode0
ReVeal: Self-Evolving Code Agents via Iterative Generation-Verification—0
code_transformed: The Influence of Large Language Models on Code—0
LLM-as-a-Judge for Reference-less Automatic Code Validation and Refinement for Natural Language to Bash in IT Automation—0
Specification and Evaluation of Multi-Agent LLM Systems -- Prototype and Cybersecurity ApplicationsCode0
Reasoning as a Resource: Optimizing Fast and Slow Thinking in Code Generation Models—0
Bridging the Gap Between Open-Source and Proprietary LLMs in Table QACode0
Prompt Variability Effects On LLM Code Generation—0
Understanding Software Engineering Agents Through the Lens of Traceability: An Empirical Study—0
Exploring the Capabilities of the Frontier Large Language Models for Nuclear Energy Research—0
Edit Flows: Flow Matching with Edit Operations—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