AI RESEARCH
Byte-token Enhanced Language Models for Temporal Point Processes Analysis
arXiv CS.LG
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ArXi:2502.07139v2 Announce Type: replace-cross Temporal Point Processes (TPPs) have been widely used for modeling event sequences on the Web, such as user reviews, social media posts, and online transactions. However, traditional TPP models often struggle to effectively incorporate the rich textual descriptions that accompany these events, while Large Language Models (LLMs), despite their remarkable text processing capabilities, lack mechanisms for handling the temporal dynamics inherent in Web-based event sequences. To bridge this gap, we