Mingtian Tan — accepted AI-conference papers

2024

Are Language Models Actually Useful for Time Series Forecasting?

Mingtian Tan, Mike A Merrill, Vinayak Gupta, Tim Althoff, Thomas Hartvigsen

NeurIPS 2024spotlight

Large language models (LLMs) are being applied to time series forecasting. But are language models actually useful for time series? In a series of ablation studies on three recent and popular LLM-based time series forecasting methods, we find that removing the LLM component or replacing it with a ba…

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2024

Language Models Still Struggle to Zero-shot Reason about Time Series

Mike A Merrill, Mingtian Tan, Vinayak Gupta, Thomas Hartvigsen, Tim Althoff

EMNLP 2024finding

Time series are critical for decision-making in fields like finance and healthcare. Their importance has driven a recent influx of works passing time series into language models, leading to non-trivial forecasting on some datasets. But it remains unknown whether non-trivial forecasting implies that…

Cited by 31 Source ↗PDF ↗code ↗Scholar ↗