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- HumanEval: Hand-Written Evaluation Set - GitHub
HumanEval: Hand-Written Evaluation Set This is an evaluation harness for the HumanEval problem solving dataset described in the paper " Evaluating Large Language Models Trained on Code " Installation
- HumanEval: A Benchmark for Evaluating LLM Code Generation . . . - DataCamp
HumanEval is a benchmark dataset developed by OpenAI that evaluates the performance of large language models (LLMs) in code generation tasks It has become a significant tool for assessing the capabilities of AI models in understanding and generating code
- HumanEval-V
HumanEval-V is a novel benchmark designed to evaluate the ability of Large Multimodal Models (LMMs) to understand and reason over complex diagrams in programming contexts Unlike traditional multimodal or coding benchmarks, HumanEval-V challenges models to generate Python code based on visual inputs that are indispensable for solving the task
- HumanEval | DeepEval - The Open-Source LLM Evaluation Framework
The HumanEval benchmark is a dataset designed to evaluate an LLM’s code generation capabilities The benchmark consists of 164 hand-crafted programming challenges comparable to simple software interview questions
- HumanEval: LLM Benchmark for Code Generation | Deepgram
This article delves into the intricacies of the HumanEval dataset, the limitations of traditional evaluation methods, the workings of the pass@k metric, and the implications of this novel approach on the ongoing development of code generation models
- HumanEval Benchmark (Code Generation) - Papers With Code
The current state-of-the-art on HumanEval is LLaMA 3 See a full comparison of 4 papers with code
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