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cs.LG2025★ 1 cited
ChronoSense: Exploring Temporal Understanding in Large Language Models with Time Intervals of Events
Duygu Sezen Islakoglu, Jan-Christoph Kalo
Large Language Models (LLMs) have achieved remarkable success in various NLP tasks, yet they still face significant challenges in reasoning and arithmetic. Temporal reasoning, a cr…
cs.LG2023
Leveraging Pre-trained Language Models for Time Interval Prediction in Text-Enhanced Temporal Knowledge Graphs
Duygu Sezen Islakoglu, Mel Chekol, Yannis Velegrakis
Most knowledge graph completion (KGC) methods learn latent representations of entities and relations of a given graph by mapping them into a vector space. Although the majority of…