In current benchmarks for evaluating large language models (LLMs), there are issues such as evaluation content restriction, untimely updates, and lack of optimization guidance. In this paper, we propose a new paradigm for the measurement of LLMs: Benchmarking-Evaluation-Assessment. Our paradigm shifts the "location" of LLM evaluation from the "examination room" to the "hospital". Through conducting a "physical examination" on LLMs, it utilizes specific task-solving as the evaluation content, performs deep attribution of existing problems within LLMs, and provides recommendation for optimization.
IF-RewardBench: Benchmarking Judge Models for Instruction-Following Evaluation
The Conversational Artificial Intelligence (CoAI) Group, Tsinghua University（清华大学对话人工智能（CoAI）小组）；Zhipu AI（智谱AI）；University of Electronic Science and Technology of China（电子科技大学）
HarmMetric Eval: Benchmarking Metrics and Judges for LLM Harmfulness Assessment
The State Key Laboratory of Blockchain and Data Security（区块链与数据安全国家重点实验室）；Zhejiang University（浙江大学）；Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security（杭州高新技术区（滨江）区块链与数据安全研究院）；Pretraining Team, xAI（预训练团队，xAI）；Hong Kong University of Science and Technology (GuangZhou)（香港科技大学（广州））
Benchmarking Open-Source Large Language Models for Persian in Zero-Shot and Few-Shot Learning
Department of Medical Engineering（医学工程系）；Electrical Engineering Department（电气工程系）；Sharif University of Technology（谢里夫技术大学）；Department of Electrical Engineering（电气工程系）；University of Tehran（德黑兰大学）
DS@GT at eRisk 2025: From prompts to predictions, benchmarking early depression detection with conversational agent based assessments and temporal attention models
SciHorizon: Benchmarking AI-for-Science Readiness from Scientific Data to Large Language Models
Computer Network Information Center, Chinese Academy of Sciences（中国科学院计算机网络信息中心）；University of Chinese Academy of Sciences（中国科学院大学）；University of Science and Technology of China（中国科学技术大学）；Hefei University of Technology（合肥工业大学）；The Hong Kong University of Science and Technology (Guangzhou)（香港科学与技术大学（广州））
PaperAudit-Bench: Benchmarking Error Detection in Research Papers for Critical Automated Peer Review
Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所）；Pengcheng Laboratory（鹏城实验室）；University of Chinese Academy of Sciences（中国科学院大学）；Wenge Technology（文英科技）
Vote'n'Rank: Revision of Benchmarking with Social Choice Theory
HSE University（高等经济大学）；SaluteDevices（SaluteDevices公司）；University of Oxford（牛津大学）；Artificial Intelligence Research Institute（人工智能研究院）；Institute of Linguistics, RAS（俄罗斯科学院语言学研究所）；Center for Information and Language Processing, LMU Munich（慕尼黑大学信息与语言处理中心）
