Althoff, TimMerrill, Mike A.2025-01-232025-01-232025-01-232024Merrill_washington_0250E_27749.pdfhttps://hdl.handle.net/1773/52765Thesis (Ph.D.)--University of Washington, 2024Time series are critical data which drive countless decisions in finance, healthcare, and science. However, multimodal NLP research has mostly focused on images and video. Here I enumerate barriers towards such models and describe my work towards mitigating them. I detail new multimodal NLP tasks for reasoning about time series, describe an LLM-powered agent that can answer questions about time series, and present methods for pretraining time series encoders. I also share work on using language models for code generation to assist scientists.application/pdfen-USCC BYArtificial intelligenceComputer science and engineeringThesis