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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

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Yu-Yan Wu

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Open access Aug 2026

Ensembling Heterogeneous NLU Models via Knowledge‐Driven Constraints for Task‐Oriented Dialogue Systems

Intent classification and slot filling are essential tasks in natural language understanding. The latest approaches consider these tasks jointly in order to leverage their interdependence but use single models for training and inference, which struggle to capture fine semantic distinctions and contextual dependencies i...

Yu-Yan Wu, Romina Soledad Albornoz-De Luise, M. Arevalillo-Herráez · 0 citations
Open access Oct 2026

Enhancing Knowledge Tracing with Talking-Heads Attention and Item Response Theory

Knowledge tracing (KT) is a fundamental task in student modeling within online education systems, enabling the tracking of a student’s learning progress and the prediction of future performance. Recent attention-based KT methods have leveraged self-attention mechanisms to capture complex patterns in student learning. H...

Yu-Yan Wu, Pablo Arnau-Gónzalez, Miguel Arevalillo-Herráez · 0 citations

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