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 651–700 of 1697 papers

TitleStatusHype
ZIP-FIT: Embedding-Free Data Selection via Compression-Based Alignment—0
Process Supervision-Guided Policy Optimization for Code Generation—0
Scattered Forest Search: Smarter Code Space Exploration with LLMs—0
GeoCode-GPT: A Large Language Model for Geospatial Code Generation Tasks—0
Large Language Models in Computer Science Education: A Systematic Literature ReviewCode0
Building A Coding Assistant via the Retrieval-Augmented Language ModelCode1
Self-Explained Keywords Empower Large Language Models for Code Generation—0
Automated Proof Generation for Rust Code via Self-Evolution—0
Improving Parallel Program Performance with LLM Optimizers via Agent-System InterfacesCode4
mHumanEval -- A Multilingual Benchmark to Evaluate Large Language Models for Code GenerationCode0
MCCoder: Streamlining Motion Control with LLM-Assisted Code Generation and Rigorous VerificationCode0
Evaluating Quantized Large Language Models for Code Generation on Low-Resource Language BenchmarksCode0
CELI: Controller-Embedded Language Model Interactions—0
LLMOPT: Learning to Define and Solve General Optimization Problems from ScratchCode2
Personality-Guided Code Generation Using Large Language ModelsCode0
HumanEval-V: Evaluating Visual Understanding and Reasoning Abilities of Large Multimodal Models Through Coding TasksCode1
Enhancing LLM Agents for Code Generation with Possibility and Pass-rate Prioritized Experience Replay—0
FVEval: Understanding Language Model Capabilities in Formal Verification of Digital HardwareCode1
Substance Beats Style: Why Beginning Students Fail to Code with LLMs—0
Evidence of Cognitive Deficits andDevelopmental Advances in Generative AI: A Clock Drawing Test Analysis—0
FLARE: Faithful Logic-Aided Reasoning and Exploration—0
EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuningCode1
Agent-as-a-Judge: Evaluate Agents with AgentsCode4
AFlow: Automating Agentic Workflow GenerationCode7
Conversational Code Generation: a Case Study of Designing a Dialogue System for Generating Driving Scenarios for Testing Autonomous Vehicles—0
Collu-Bench: A Benchmark for Predicting Language Model Hallucinations in Code—0
COrAL: Order-Agnostic Language Modeling for Efficient Iterative RefinementCode0
Impeding LLM-assisted Cheating in Introductory Programming Assignments via Adversarial Perturbation—0
Test-driven Software Experimentation with LASSO: an LLM Prompt Benchmarking Example—0
Software Engineering and Foundation Models: Insights from Industry Blogs Using a Jury of Foundation ModelsCode0
PEAR: A Robust and Flexible Automation Framework for Ptychography Enabled by Multiple Large Language Model AgentsCode1
What Makes Large Language Models Reason in (Multi-Turn) Code Generation?—0
Mitigating Gender Bias in Code Large Language Models via Model Editing—0
Context-Augmented Code Generation Using Programming Knowledge Graphs—0
IterGen: Iterative Semantic-aware Structured LLM Generation with BacktrackingCode1
DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models—0
In-the-loop Hyper-Parameter Optimization for LLM-Based Automated Design of Heuristics—0
Generating CAD Code with Vision-Language Models for 3D Designs—0
Learning How Hard to Think: Input-Adaptive Allocation of LM Computation—0
SparsePO: Controlling Preference Alignment of LLMs via Sparse Token Masks—0
An evaluation of LLM code generation capabilities through graded exercises—0
Evaluation of Code LLMs on Geospatial Code GenerationCode0
A Survey on LLM-based Code Generation for Low-Resource and Domain-Specific Programming Languages—0
Learning Code Preference via Synthetic EvolutionCode1
Showing LLM-Generated Code Selectively Based on Confidence of LLMs—0
SwiftKV: Fast Prefill-Optimized Inference with Knowledge-Preserving Model TransformationCode3
Horizon-Length Prediction: Advancing Fill-in-the-Middle Capabilities for Code Generation with Lookahead Planning—0
Tadashi: Enabling AI-Based Automated Code Generation With Guaranteed CorrectnessCode1
Steering Large Language Models between Code Execution and Textual ReasoningCode2
Generating Equivalent Representations of Code By A Self-Reflection Approach—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