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HumanEval

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Showing 26–50 of 264 papers

TitleStatusHype
LayerSkip: Enabling Early Exit Inference and Self-Speculative DecodingCode3
SelfCodeAlign: Self-Alignment for Code GenerationCode3
KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for CodingCode3
CODESIM: Multi-Agent Code Generation and Problem Solving through Simulation-Driven Planning and DebuggingCode2
Training Language Models to Self-Correct via Reinforcement LearningCode2
CodeT: Code Generation with Generated TestsCode2
Top Leaderboard Ranking = Top Coding Proficiency, Always? EvoEval: Evolving Coding Benchmarks via LLMCode2
A Survey on Large Language Models for Code GenerationCode2
Rethinking Benchmark and Contamination for Language Models with Rephrased SamplesCode2
From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical DebuggingCode2
MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code GenerationCode2
Nexus: A Lightweight and Scalable Multi-Agent Framework for Complex Tasks AutomationCode2
NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User PromptsCode2
Parsel: Algorithmic Reasoning with Language Models by Composing DecompositionsCode2
AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and OptimisationCode2
MapCoder: Multi-Agent Code Generation for Competitive Problem SolvingCode2
any4: Learned 4-bit Numeric Representation for LLMsCode2
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language ModelsCode2
MasRouter: Learning to Route LLMs for Multi-Agent SystemsCode2
Instruction Tuning With Loss Over InstructionsCode1
InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language ModelsCode1
InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-InstructCode1
HumanEval-XL: A Multilingual Code Generation Benchmark for Cross-lingual Natural Language GeneralizationCode1
Invisible Entropy: Towards Safe and Efficient Low-Entropy LLM WatermarkingCode1
HumanEval Pro and MBPP Pro: Evaluating Large Language Models on Self-invoking Code GenerationCode1
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