AIBullisharXiv – CS AI · 14h ago6/10
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Continuity and Ordinality Matter: Constraining Time Series Tokens for Effective Time Series Analysis with Large Language Models
Researchers propose COM, a novel framework that improves large language models' ability to analyze time series data by preserving the continuity and ordinality properties of sequential tokens. The method integrates geometric constraints during initialization and training, demonstrating consistent performance improvements across multiple benchmarks and establishing better generalizability for token-based TS-LLMs.