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HumanEval

Papers

Showing 7180 of 264 papers

TitleStatusHype
EffiLearner: Enhancing Efficiency of Generated Code via Self-OptimizationCode1
Instruction Tuning With Loss Over InstructionsCode1
Unchosen Experts Can Contribute Too: Unleashing MoE Models' Power by Self-ContrastCode1
Multiple-Choice Questions are Efficient and Robust LLM EvaluatorsCode1
MHPP: Exploring the Capabilities and Limitations of Language Models Beyond Basic Code GenerationCode1
Better & Faster Large Language Models via Multi-token PredictionCode1
XFT: Unlocking the Power of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-ExpertsCode1
The RealHumanEval: Evaluating Large Language Models' Abilities to Support ProgrammersCode1
Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and OptimizationCode1
CYCLE: Learning to Self-Refine the Code GenerationCode1
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