# Google Research — Time series foundation models can be few-shot learners

- Company: Google Research (research.google)
- Announced: 2025-09-23T18:00:43+00:00
- Category: research-paper
- Subject: Research
- Models affected: TimesFM-ICF, TimesFM
- Source: https://research.google/blog/time-series-foundation-models-can-be-few-shot-learners/
- Record: https://forck.live/items/1416-time-series-foundation-models-can-be-few-shot-learners

Google Research presents TimesFM-ICF, a time-series foundation model that uses continued pre-training to learn from in-context examples at inference time, enabling few-shot forecasting without supervised fine-tuning. The work was presented at ICML 2025.

## Evidence

Verbatim from https://research.google/blog/time-series-foundation-models-can-be-few-shot-learners/:

> In our new work, "In-Context Fine-Tuning for Time-Series Foundation Models", presented at ICML 2025, we introduce a novel approach that transforms TimesFM into a few-shot learner.

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