图半监督蒸馏新方法被KDD2026录用，利用文本属性提升图表示学习效率。
arXiv:2607.20477v1 Announce Type: new Abstract: {\em Text-Attributed Graphs} (TAGs) have emerged as an expressive data model for integrating graph top…
利用LLM实现电商定价中长期价值对齐，KDD 2026 oral论文，AI赋能商业决策新范式。
arXiv:2606.26787v1 Announce Type: cross Abstract: Traditional dynamic pricing models in large-scale e-commerce suffer from limited interpretability, p…
提出 LLM-as-Code 智能体编程范式，为 Agent 框架提供全新开发思路，KDD 2026 最新研究。
arXiv:2606.15874v1 Announce Type: new Abstract: Every major LLM agent framework gives the LLM the role of orchestrator; the model decides what to do n…
面向异构网络威胁情报的RAG基准测试，填补安全领域大模型应用评估空白，KDD 2026收录。
arXiv:2510.11974v2 Announce Type: replace-cross Abstract: Cyber Threat Intelligence (CTI) is foundational to modern cybersecurity, enabling organizati…
一项被KDD 2026接收的新方法，通过形式化与校准探针精准映射大模型推理能力，揭示LLM深层认知图谱。
arXiv:2603.05290v2 Announce Type: replace Abstract: Large language models (LLMs) achieve promising performance, yet their ability to reason remains po…
SIGKDD 2026接收论文，提出TimeBlocks统一时间序列建模框架，兼具基础模型能力与持续学习，适合时序预测研究者。
arXiv:2606.02142v1 Announce Type: new Abstract: The ongoing digitization has led to a proliferation of time-series data streams that monitor a variety…
用大语言模型从GPS数据生成语义轨迹，灵活度高，已被KDD2026接收。
arXiv:2605.30014v1 Announce Type: new Abstract: Urban trajectories play a crucial role in modeling urban dynamics and supporting various smart city ap…
基因到功能：首个LLM生命科学推理基准，SIGKDD 2026录用，填补评估空白。
arXiv:2601.12805v3 Announce Type: replace-cross Abstract: Large language models (LLMs) have shown growing promise in biomedical research, particularly…
大模型驱动自动特征工程，协作贝叶斯超参数优化提效，KDD 2026前沿方法。
arXiv:2602.09851v2 Announce Type: replace Abstract: Feature Engineering (FE) is pivotal in automated machine learning (AutoML) but remains a bottlenec…
KDD 2026发布最新基准MirrorBench，重新定义对话代理拟人化评估标准，推动人机交互研究新高度
arXiv:2601.08118v3 Announce Type: replace-cross Abstract: Large language models (LLMs) are increasingly used as human simulators, both for evaluating …