Lapras: Latent Reasoning for Time Series Language Models
Time Series Language Models (TSLMs) offer a promising path toward time series understanding by reasoning over temporal signals and producing natural language answers and explanations.
By Yuliang Chen, Yu Yvonne Wu, Patrick Langer, Arvind Pillai, Sudarshan Regmi, Martin Maritsch, Juncheng Liu, Robert Jakob, Thomas Kaar, Tess Z. Griffin, Lisa Marsch, Michael V. Heinz, Nicholas C. Jacobson, Andrew CampbellarXiv - cs.CL (NLP)
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Originally published by arXiv - cs.CL (NLP) on Oct 9, 2026.
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