4 papers · 1 filter
Foundation Models for Event Prediction Across Heterogeneous Event Logs
Fabian Spaeh, Sean Jaffe, Shandian Zhe +1
Event logs are ubiquitous across real-world domains, including business processes, manufacturing workflows, healthcare, and many other operational systems. Yet event logs can diffe…
Universal Multi-Modal Traceformer: Integrating Heterogeneous Context for Process Event Prediction
Fabian Spaeh, Jingxing Fang, Shandian Zhe +1
Event logs arise in a wide range of real-world processes, capturing not only event activities and timestamps but also multi-modal contextual information. Existing event-sequence mo…
Efficient Algorithms for Influence Maximization in General Models and Observed Cascades
Fabian Spaeh, Themistoklis Haris, Alina Ene +1
We study influence maximization in general stochastic models, the observed cascades model, and the independent cascade (IC) model. For general stochastic models with only black-box…
Query Suggestion for Retrieval-Augmented Generation via Dynamic In-Context Learning
Fabian Spaeh, Tianyi Chen, Chen-Hao Chiang +1
Retrieval-augmented generation with tool-calling agents (agentic RAG) has become increasingly powerful in understanding, processing, and responding to user queries. However, the sc…