大模型加持SysML v2，破解协同系统工程语义对齐难题，工程智能化的前沿探索。
arXiv:2508.16181v2 Announce Type: replace-cross Abstract: Cross-organizational collaboration in Model-Based Systems Engineering (MBSE) faces many chal…
用多尺度超图对齐脑网络语义，融合AI与神经科学的ICME新框架，值得关注
arXiv:2607.01901v1 Announce Type: cross Abstract: Effective brain disease diagnosis requires the synergy of brain connectivity patterns and high-level…
3D CT医学影像的视觉语言预训练新方法，混合视觉编码破解粗粒度语义对齐难题，助力通用医学AI。
arXiv:2606.25546v1 Announce Type: new Abstract: Vision-language pre-training (VLP) holds great promise for general-purpose medical AI by leveraging ra…
从语义、词汇到句法，三层剖析大模型如何理解与处理人类隐喻，为NLP可解释性提供新洞见。
arXiv:2510.04120v2 Announce Type: replace Abstract: Large language models (LLMs) achieve strong performance on metaphor detection and interpretation t…
提出因果语义对齐方法，让大语言模型更精准捕捉时间序列中的因果关系，提升预测性能。
arXiv:2606.08262v1 Announce Type: new Abstract: Recent advances in Large Language Models (LLMs) have opened new possibilities for time series forecast…
工业级LLM推荐系统中语义与ID空间对齐的Pareto最优策略，直击两个核心瓶颈的权衡方案。
arXiv:2606.03866v1 Announce Type: cross Abstract: Scaling recommender systems via large language models (LLMs) has become a prominent trend in the ind…
用语义对齐技术自动生成SystemVerilog断言，为硬件验证带来AI新思路
arXiv:2605.25181v1 Announce Type: new Abstract: Existing Large Language Model (LLM) approaches to SystemVerilog Assertion (SVA) generation primarily f…
让图像分词更接近文本语义，提出新方法优化多模态大语言模型的融合效果。
arXiv:2605.17954v1 Announce Type: cross Abstract: Modern multimodal large language models (MLLMs) typically keep the language model fixed and train a …
将GUI批评从二元判断重构为连续语义对齐，提升智能体测试时扩展的排序能力
arXiv:2605.14311v1 Announce Type: cross Abstract: Test-Time Scaling (TTS), which samples multiple candidate actions and ranks them via a Critic Model,…