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本表格汇总了常用大语言模型在主流评测排行榜上的表现。评测范围涵盖：人类偏好（文字和视觉），知识与推理，数学能力，代码能力，和长文本推理。在整合各项评测结果的基础上，计算出综合排名。
This chart compiles the performance of commonly used large language models across major benchmark leaderboards. Evaluation categories include：Human preference (text & vision), Knowledge and reasoning, Mathematical ability, Coding capability, and Long-context reasoning. Based on the aggregated results from these evaluations, an overall ranking is produced.

本表格汇总了常用大语言模型在常用评测排行榜上的表现，并计算出综合排名。排行榜涵盖人类偏好、知识与推理能力、数学能力、代码能力等多个方面。
This table summarizes the performance of popular large language models across well-known benchmark leaderboards, integrating evaluation results to obtain an overall ranking. These rankings cover a range of capabilities, including human preference, knowledge and reasoning, mathematical skills, and coding ability.

本表格汇总了常用大语言模型在常用评测榜单上的表现，整合评测结果，得到综合排名。榜单涵盖人类偏好、知识与推理能力、数学能力、代码能力等多个方面。
This table summarizes the performance of popular large language models across well-known benchmark leaderboards, integrating evaluation results to obtain an overall ranking. These rankings cover a range of capabilities, including human preference, knowledge and reasoning, mathematical skills, and coding ability.

关于埃德蒙顿的野外湖边的一些常见的野草的记录

本表格汇总了常用大语言模型在常用评测榜单上的表现。榜单涵盖人类偏好、知识与推理能力、数学能力、代码能力、多模态能力等多个方面。
This table summarizes the performance of popular large language models across well-known benchmark leaderboards. These rankings cover a range of capabilities, including human preference, knowledge and reasoning, mathematical skills, coding ability, and multimodal performance.

尝试用通俗易懂的方法证明哥德尔不完备性定理