用结构化提示提升合成日语咨询对话质量，并探索自动评估方法，为对话系统研究提供新思路。
arXiv:2507.02950v3 Announce Type: replace-cross Abstract: Large language models (LLMs) may support counseling training, yet evidence from Japanese-lan…
研究LLM能否胜任诗歌理解评估任务，首次提出Poller方法探索AI在文学评价中的可行性。
arXiv:2606.30556v1 Announce Type: new Abstract: Traditional automatic evaluation methods have been shown to be unsuitable for modern Chinese poetry be…
面向高风险考试的LLM自动评判，提出课程基础评分流水线，提升可靠性与可解释性。
arXiv:2606.17507v1 Announce Type: new Abstract: Generative AI and large language models (LLMs) are increasingly applied to question generation and aut…
提出SoCRATES框架，解决LLM调解员在多领域和社会认知变化下的自动评估难题，填补现有测试平台局限。
arXiv:2606.05563v1 Announce Type: new Abstract: Evaluating LLM mediators remains challenging, as mediation unfolds as a real-time trajectory shaped by…
提出GAMBLe分析框架，为AI驱动研究系统提供系统性评估方法，避免盲目探索。
arXiv:2606.02863v1 Announce Type: new Abstract: AI-Driven Research Systems (ADRS) -- systems coupling LLMs with automated evaluation to discover algor…
用集成框架自动评估前列腺扩散加权成像几何畸变，为影像质量保障提供新方案。
arXiv:2606.00393v1 Announce Type: cross Abstract: Geometric distortion in prostate diffusion-weighted imaging (DWI) can impair lesion localization and…
大模型自我评估竟有系统性偏见？这篇研究拆解了自偏见的成因与影响，对AI评估可信度敲响警钟。
arXiv:2509.26600v2 Announce Type: replace-cross Abstract: As LLMs rapidly saturate existing benchmarks, automated benchmark creation using LLMs (LLM-a…
新论文提出自动审计框架，评估LLM智能体的开放技能生态系统，助力安全与能力验证。
arXiv:2605.23657v1 Announce Type: new Abstract: Skills, i.e., structured workflow instructions distilled for large language models (LLMs), are becomin…
自动生成评估准则，为大规模强化学习训练大模型提供可扩展方案。
arXiv:2605.23454v1 Announce Type: new Abstract: Rubric-based rewards offer a promising way to extend reinforcement learning (RL) for large language mo…
研究利用大语言模型自动评估编程教育中学生自我解释的效果，为AI赋能教学评估提供实证参考。
arXiv:2605.21614v1 Announce Type: cross Abstract: Worked examples are step-by-step solutions to problems in a specific domain, offered to students to …
大语言模型作为自动评估者，会被对话历史中的观点极性所影响，一项覆盖7.5万样本的研究揭示了这种“累积消息效应”
arXiv:2605.22714v1 Announce Type: cross Abstract: Large language models are routinely used as automated evaluators: to review code, moderate content, …
医学对话系统如何理解数轮前的病史？这篇被AAMAS 2026录用的论文提出合成与评估长程历史感知对话的新方法。
arXiv:2605.19766v1 Announce Type: new Abstract: An effective healthcare agent must be able to recall and reason over a patient's longitudinal medical …
22位作者联合研究，探索用大语言模型替代人类专家评估试题难度的方法与效果
arXiv:2605.18562v1 Announce Type: cross Abstract: Accurate estimates of item difficulty are essential for valid assessment and effective adaptive lear…