用多模型交叉审计替代提示工程去偏，为LLM裁判公正性提供新思路。
arXiv:2607.28636v1 Announce Type: new Abstract: LLMs increasingly serve as automated judges, but their judgments remain vulnerable to cognitive biases…
用知识蒸馏技术自动化评估AI导师的教学质量，FATE方法为教育大模型评价提供新思路
arXiv:2607.10647v1 Announce Type: new Abstract: The rapid integration of Large Language Models (LLMs) into K-12 and higher education has outpaced the …
零标签+代码驱动，用Litmus自动化定义AI评估指标，告别传统人工标注。
arXiv:2606.23403v1 Announce Type: new Abstract: As agentic LLM systems move from prototypes to deployment across increasingly diverse domains, evaluat…
用仿真技术评估鸡胸肉"木质化"缺陷，农业自动化前沿研究，CASE 2026收录。
arXiv:2606.16951v1 Announce Type: new Abstract: Woody breast (WB) is a myopathy in modern broiler chickens that causes the breast muscle to become unu…
ACL 2026收录论文：系统提出语言模型在开放任务中创造力的自动化评估方法，填补量化空白。
arXiv:2606.11762v1 Announce Type: cross Abstract: Large language models (LLMs) have achieved remarkable progress in language understanding, reasoning,…
提出自动化框架，系统评估并加固LLM系统指令以抵御编码攻击，为AI安全提供新工具。
arXiv:2604.01039v2 Announce Type: replace-cross Abstract: System Instructions in Large Language Models (LLMs) are commonly used to enforce safety poli…
用BART模型自动评估CS1的C++编程作业，基于评分标准实现高效、公正的代码打分。
arXiv:2606.03814v1 Announce Type: new Abstract: This paper investigates rubric-aware, multitask fine-tuning of transformer models for automated gradin…
新基准用报告自动生成肿瘤学VQA任务，填补3D医学影像评估空白，推动视觉语言模型临床落地。
arXiv:2606.02809v1 Announce Type: new Abstract: Evaluating vision-language models (VLMs) on medical images requires benchmarks that are clinically gro…
GrowLoop通过人类种子引导自演化评估对话质量，无需大量人工标注即可自动提升评测能力
arXiv:2605.28882v1 Announce Type: cross Abstract: With the rapid advancement of large language models, evaluating human-likeness in open-ended convers…
提出Agentic CLEAR框架，自动化评估LLM Agents多层次能力，提升评估效率与客观性。
arXiv:2605.22608v1 Announce Type: new Abstract: Agentic systems are becoming more capable: agents define strategies, take actions, and interact with d…