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 101–150 of 1697 papers

TitleStatusHype
SwiftEval: Developing a Language-Specific Benchmark for LLM-generated Code Evaluation—0
A Reward-driven Automated Webshell Malicious-code Generator for Red-teaming—0
RMoA: Optimizing Mixture-of-Agents through Diversity Maximization and Residual CompensationCode0
Eye of Judgement: Dissecting the Evaluation of Russian-speaking LLMs with POLLUX—0
HardTests: Synthesizing High-Quality Test Cases for LLM Coding—0
Using Reasoning Models to Generate Search Heuristics that Solve Open Instances of Combinatorial Design ProblemsCode0
SwingArena: Competitive Programming Arena for Long-context GitHub Issue Solving—0
Enhancing LLM-Based Code Generation with Complexity Metrics: A Feedback-Driven Approach—0
Infinite-Instruct: Synthesizing Scaling Code instruction Data with Bidirectional Synthesis and Static VerificationCode0
OSS-UAgent: An Agent-based Usability Evaluation Framework for Open Source SoftwareCode0
Self-Correcting Code Generation Using Small Language ModelsCode0
VERINA: Benchmarking Verifiable Code GenerationCode2
LLM Performance for Code Generation on Noisy TasksCode0
DeepRTL2: A Versatile Model for RTL-Related Tasks—0
Training Language Models to Generate Quality Code with Program Analysis FeedbackCode1
HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding—0
Rendering-Aware Reinforcement Learning for Vector Graphics Generation—0
R1-Code-Interpreter: Training LLMs to Reason with Code via Supervised and Reinforcement LearningCode1
RepoMaster: Autonomous Exploration and Understanding of GitHub Repositories for Complex Task SolvingCode0
An LLM-as-Judge Metric for Bridging the Gap with Human Evaluation in SE Tasks—0
Large Language Models for IT Automation Tasks: Are We There Yet?—0
SWE-rebench: An Automated Pipeline for Task Collection and Decontaminated Evaluation of Software Engineering AgentsCode1
An Empirical Study on Strong-Weak Model Collaboration for Repo-level Code GenerationCode0
Style2Code: A Style-Controllable Code Generation Framework with Dual-Modal Contrastive Representation LearningCode0
Learning to Reason without External RewardsCode3
Compliance-to-Code: Enhancing Financial Compliance Checking via Code GenerationCode1
Win Fast or Lose Slow: Balancing Speed and Accuracy in Latency-Sensitive Decisions of LLMsCode1
Large Language Models in Code Co-generation for Safe Autonomous Vehicles—0
CODE-DITING: A Reasoning-Based Metric for Functional Alignment in Code Evaluation—0
ReChisel: Effective Automatic Chisel Code Generation by LLM with ReflectionCode1
ActiveDPO: Active Direct Preference Optimization for Sample-Efficient Alignment—0
Architectures of Error: A Philosophical Inquiry into AI and Human Code Generation—0
Mind the Gap: A Practical Attack on GGUF QuantizationCode1
PromptWise: Online Learning for Cost-Aware Prompt Assignment in Generative Models—0
HD-PiSSA: High-Rank Distributed Orthogonal Adaptation—0
Does Representation Intervention Really Identify Desired Concepts and Elicit Alignment?—0
SEW: Self-Evolving Agentic Workflows for Automated Code GenerationCode7
From Output to Evaluation: Does Raw Instruction-Tuned Code LLMs Output Suffice for Fill-in-the-Middle Code Generation?—0
ChartGalaxy: A Dataset for Infographic Chart Understanding and GenerationCode3
Autocomp: LLM-Driven Code Optimization for Tensor Accelerators—0
PPT: A Process-based Preference Learning Framework for Self Improving Table Question Answering Models—0
Evaluating the Energy-Efficiency of the Code Generated by LLMs—0
FullFront: Benchmarking MLLMs Across the Full Front-End Engineering WorkflowCode1
HyGenar: An LLM-Driven Hybrid Genetic Algorithm for Few-Shot Grammar GenerationCode0
Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks—0
SIMCOPILOT: Evaluating Large Language Models for Copilot-Style Code Generation—0
dKV-Cache: The Cache for Diffusion Language ModelsCode2
MAPS: A Multilingual Benchmark for Global Agent Performance and Security—0
Towards a Science of Causal Interpretability in Deep Learning for Software Engineering—0
R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint OptimizationCode13
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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