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Papers

Showing 125 of 129 papers

TitleStatusHype
EvoAgentX: An Automated Framework for Evolving Agentic WorkflowsCode7
CodexGraph: Bridging Large Language Models and Code Repositories via Code Graph DatabasesCode7
Code Llama: Open Foundation Models for CodeCode6
OpenCodeInterpreter: Integrating Code Generation with Execution and RefinementCode5
WizardCoder: Empowering Code Large Language Models with Evol-InstructCode5
Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-stepCode4
Web-Bench: A LLM Code Benchmark Based on Web Standards and FrameworksCode3
DataDecide: How to Predict Best Pretraining Data with Small ExperimentsCode3
KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for CodingCode3
any4: Learned 4-bit Numeric Representation for LLMsCode2
Two Heads are Better Than One: Test-time Scaling of Multi-agent Collaborative ReasoningCode2
MasRouter: Learning to Route LLMs for Multi-Agent SystemsCode2
CODESIM: Multi-Agent Code Generation and Problem Solving through Simulation-Driven Planning and DebuggingCode2
A Survey on Large Language Models for Code GenerationCode2
MapCoder: Multi-Agent Code Generation for Competitive Problem SolvingCode2
NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User PromptsCode2
AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and OptimisationCode2
InterCode: Standardizing and Benchmarking Interactive Coding with Execution FeedbackCode2
MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code GenerationCode2
CodeT: Code Generation with Generated TestsCode2
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement LearningCode2
Invisible Entropy: Towards Safe and Efficient Low-Entropy LLM WatermarkingCode1
Rethinking Repetition Problems of LLMs in Code GenerationCode1
CodeCriticBench: A Holistic Code Critique Benchmark for Large Language ModelsCode1
Learning to Generate Unit Tests for Automated DebuggingCode1
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