将LLM引入工业网约车调度，用语义特征替代传统数值匹配，提升用户画像实用对齐。
arXiv:2606.18803v1 Announce Type: new Abstract: Bringing Large Language Models (LLMs) into industrial ride-hailing dispatch as semantic feature extrac…
首个大规模评估Agent技能的通用框架，填补跨模型、跨领域评估方法空白，推动LLM Agent能力标准化研究。
arXiv:2606.17819v1 Announce Type: cross Abstract: Agent skills -- structured, reusable knowledge artifacts that augment LLM agent capabilities -- have…
探索量子机器学习在工业场景中的实际落地，解决传统计算瓶颈的前沿研究
arXiv:2606.14822v1 Announce Type: cross Abstract: Recent advances in Machine Learning have transformed numerous industrial sectors, yet classical para…
工业级大模型智能体系统综述，IEEE录用论文详解架构、应用与最新进展。
arXiv:2505.16120v3 Announce Type: replace Abstract: The emergence of Large Language Models (LLMs) has reshaped agent systems. Unlike traditional rule-…
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…
无需训练即可检测配送中心任意物体卡堵，零样本视觉方案高效实用。
arXiv:2606.00321v1 Announce Type: new Abstract: In fulfillment centers, diverse objects move continuously from inbound to outbound operations and can …