从结构视角拆解AI偏差研究，追问公平性定义与基准背后的权力集中和盲点。
arXiv:2607.05574v1 Announce Type: cross Abstract: Artificial intelligence increasingly mediates consequential decisions in healthcare, law, and public…
从神经元层面剖析大模型在法律推理中的内部机制，揭示模型如何理解和应用法律规则
arXiv:2606.15884v1 Announce Type: new Abstract: We presented a neuron-level analysis of legal-domain reasoning in LLMs, comparing it with other applie…
用自然语言指令驱动FEniCS进行多物理有限元模拟，降低门槛的创新方法。
arXiv:2606.10928v1 Announce Type: cross Abstract: Large language models can reduce the manual effort required to set up finite element simulations, bu…
多LLM加上本体约束，为预测编码文献碎片化问题提供跨学科证据综合新方案。
arXiv:2606.05206v1 Announce Type: cross Abstract: Fragmentation is common in interdisciplinary fields with diverse methods and theoretical commitments…
五年间NLG评估标准如何演变？这篇元分析揭示趋势与盲点
arXiv:2601.07648v2 Announce Type: replace Abstract: As Natural Language Generation (NLG) dominates modern NLP, scalable evaluation remains a critical …
这篇论文对2022-2025年间生成式AI在金融NLP领域的应用做了大规模元分析，系统梳理了研究趋势与核心发现，值得关注。
arXiv:2509.09544v3 Announce Type: replace Abstract: Financial NLP has evolved rapidly since late 2022, outpacing narrative surveys. We introduce MetaG…
首次系统评估LLM安全基准间的相互影响与代码仓库质量，揭示基准研究的潜在偏差
arXiv:2603.04459v3 Announce Type: replace-cross Abstract: The rapid expansion of research in LLM safety presents challenges in tracking advancements, …