Two more DIG papers accepted at #EMNLP2026 (Budapest, Oct 24–29): one in the main conference, one in Findings. Both find events in multivariate time series from a natural-language description, with little or no labeled data. 🧵👇
#NLP #TimeSeries
The DIG team is part of Télécom Paris, Institut Polytechnique de Paris, France. We work on knowledge graphs, language models, foundational models, learning over tabular data, graph mining, and stream mining. Website: dig.telecom-paris.fr