3 papers
cs.LG2026
Eliciting Chain-of-Thought Reasoning for Time Series Analysis using Reinforcement Learning
Felix Parker, Nimeesha Chan, Chi Zhang +1
Complex numerical time series analysis often demands multi-step reasoning capabilities beyond current models' reach. Tasks like medical diagnosis and weather forecasting require se…
cs.LG2026
TsLLM: Augmenting LLMs for General Time Series Understanding and Prediction
Felix Parker, Nimeesha Chan, Chi Zhang +1
Time series data is fundamental to decision-making across many domains including healthcare, finance, power systems, and logistics. However, analyzing this data correctly often req…
cs.LG2024
MedTsLLM: Leveraging LLMs for Multimodal Medical Time Series Analysis
Nimeesha Chan, Felix Parker, William Bennett +4
The complexity and heterogeneity of data in many real-world applications pose significant challenges for traditional machine learning and signal processing techniques. For instance…