LLM Benchmark Scores Comparison

kaggle2026-07-14 更新2026-07-24 收录

语言模型性能

基准测试对比

数据链接：

https://www.kaggle.com/datasets/muhammadhammad406/llm-benchmark-scores-comparison 数据链接链接失效反馈

官方服务：

资源简介：

GPQA, MMLU-Pro, SWE-bench, and AIME scores for 19 leading LLMs in 2026

2026年19款顶尖大语言模型在GPQA、MMLU-Pro、SWE-bench及AIME上的评测分数

创建时间：

2026-07-14

OALL/details_OpenBuddy__openbuddy-yi1.5-34b-v21.3-32k

阿拉伯语多领域评估

语言模型性能

数据集`Evaluation run of OpenBuddy/openbuddy-yi1.5-34b-v21.3-32k`是在模型`OpenBuddy/openbuddy-yi1.5-34b-v21.3-32k`的评估运行过程中自动生成的。该数据集包含136个配置，每个配置对应一个评估任务。数据集由1次运行生成，每次运行的结果作为特定配置中的一个分割，分割名称使用运行的时间戳。此外，数据集还包含

Hugging Face2024-06-19 更新60

Judge the Votes: A System to Classify Bug Reports and Give Suggestions

错误报告分类

语言模型性能

The aim of the research is to compare the modern reasoning approaches for the bug classification task with the previous state of the art models. We've used 4 language models. We tested them with zero-

DataCite Commons2025-07-17 更新30

Performance of fine-tuned GPT-4o mini (500 samples) across five runs.

语言模型性能

自然语言处理下游任务

Metrics include mean, standard deviation (SD), and 95% confidence interval (CI) using the t-distribution. For sentiment analysis and news categorization, the metric is macro-F1. For sarcasm detection,

Figshare2025-10-08 更新30

Additional file 1 of Assessing the performance of ChatGPT-4 and ChatGPT-4o in lung cancer diagnoses

肺癌辅助诊断

语言模型性能

Supplementary Material 1

NIAID Data Ecosystem40

OALL/details_UCLA-AGI__Llama-3-Instruct-8B-SPPO-Iter2

阿拉伯语多领域评估

语言模型性能

--- pretty_name: Evaluation run of UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter2 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [UCLA-AGI/Llama-3-Instruct-8B-SPPO-It

Hugging Face2024-08-07 更新30

LLM Benchmark Scores Comparison

资源简介：

相关数据集