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 1101–1150 of 1697 papers

TitleStatusHype
Mercury: A Code Efficiency Benchmark for Code Large Language ModelsCode2
Game Agent Driven by Free-Form Text Command: Using LLM-based Code Generation and Behavior Branch—0
Entropy-Regularized Token-Level Policy Optimization for Language Agent ReinforcementCode1
LLMs for Coding and Robotics Education—0
V-STaR: Training Verifiers for Self-Taught Reasoners—0
Text-to-Code Generation with Modality-relative Pre-training—0
Do Large Code Models Understand Programming Concepts? Counterfactual Analysis for Code Predicates—0
Limits of Transformer Language Models on Learning to Compose AlgorithmsCode0
Code as Reward: Empowering Reinforcement Learning with VLMs—0
Design and implementation of a real-time onboard system for a stratospheric balloon mission using commercial off-the-self components and a model-based approach—0
Automatic Robotic Development through Collaborative Framework by Large Language Models—0
User Centric Evaluation of Code Generation Tools—0
Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS—0
EffiBench: Benchmarking the Efficiency of Automatically Generated CodeCode2
Code Representation Learning At Scale—0
StepCoder: Improve Code Generation with Reinforcement Learning from Compiler FeedbackCode2
A Survey for Foundation Models in Autonomous Driving—0
Getting the most out of your tokenizer for pre-training and domain adaptationCode1
Ocassionally Secure: A Comparative Analysis of Code Generation Assistants—0
An Empirical Study on Usage and Perceptions of LLMs in a Software Engineering ProjectCode0
OMPGPT: A Generative Pre-trained Transformer Model for OpenMP—0
PPM: Automated Generation of Diverse Programming Problems for Benchmarking Code Generation ModelsCode0
EAGLE: Speculative Sampling Requires Rethinking Feature UncertaintyCode7
Designing Silicon Brains using LLM: Leveraging ChatGPT for Automated Description of a Spiking Neuron ArrayCode0
Improving Natural Language Capability of Code Large Language ModelCode0
DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code IntelligenceCode11
Copilot-in-the-Loop: Fixing Code Smells in Copilot-Generated Python Code using Copilot—0
Investigating the Efficacy of Large Language Models for Code Clone DetectionCode0
Can Large Language Models Write Parallel Code?Code1
"Which LLM should I use?": Evaluating LLMs for tasks performed by Undergraduate Computer Science Students—0
Interactions with Prompt Problems: A New Way to Teach Programming with Large Language Models—0
Knowledge Fusion of Large Language ModelsCode4
AutoChunk: Automated Activation Chunk for Memory-Efficient Long Sequence Inference—0
LangProp: A code optimization framework using Large Language Models applied to drivingCode2
Using LLM such as ChatGPT for Designing and Implementing a RISC Processor: Execution,Challenges and LimitationsCode0
Evolutionary Computation in the Era of Large Language Model: Survey and RoadmapCode2
Evaluating LLMs' Mathematical and Coding Competency through Ontology-guided InterventionsCode1
Code Generation with AlphaCodium: From Prompt Engineering to Flow EngineeringCode7
JumpCoder: Go Beyond Autoregressive Coder via Online ModificationCode1
CLSA-CIM: A Cross-Layer Scheduling Approach for Computing-in-Memory Architectures—0
Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models—0
EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health RecordsCode2
Zero-Shot RTL Code Generation with Attention Sink Augmented Large Language Models—0
OOP: Object-Oriented Programming Evaluation Benchmark for Large Language ModelsCode1
Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human ProgrammersCode1
DevEval: Evaluating Code Generation in Practical Software Projects—0
Mutation-based Consistency Testing for Evaluating the Code Understanding Capability of LLMs—0
Leveraging Print Debugging to Improve Code Generation in Large Language Models—0
DebugBench: Evaluating Debugging Capability of Large Language ModelsCode2
Rewriting the Code: A Simple Method for Large Language Model Augmented Code SearchCode1
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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