NeurIPS 2025 Past Large language modelsTime series
Recent Advances in Time Series Foundation Models Have We Reached the 'BERT Moment'?
BERT2S
- Submission deadline
- Aug 30, 2025, 11:59 UTC imported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).
Accepted papers (33)
Fetched from OpenReview (v2) on 2026-06-10.
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A More Realistic Evaluation of Cross-Frequency Transfer Learning and Foundation Forecasting Models
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Adaptive Refinement of Time Series Foundation Models via Pattern and Context-Awareness
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Adaptive Regime-Switching Forecasts with Distribution-Free Uncertainty: Deep Switching State-Space Models Meet Conformal Prediction
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Beyond Naïve Prompting: Strategies for Improved Zero-shot Context-aided Forecasting with LLMs
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CHRONOGRAPH: A Real-World Graph-Based Multivariate Time Series Dataset
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Efficiently Generating Correlated Sample Paths from Multi-step Time Series Foundation Models
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FlowState: Sampling-Rate Invariant Time Series Foundation Model with Dynamic Forecasting Horizons
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FMTK: A Modular Toolkit for Composable Time Series Foundation Model Pipelines
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Frequency Matters: When Time Series Foundation Models Fail Under Spectral Shift
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Goal-Oriented Time-Series Forecasting: Foundation Framework Design
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HORIZON: A Benchmark for In-the-wild User Behaviour Modeling
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How Foundational are Foundation Models for Time Series Forecasting?
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Kronos: A Foundation Model for the Language of Financial Markets
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Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal Narrative
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Leveraging Generic Time Series Foundation Models for EEG Classification
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Linear Regression as a Litmus Test for Time Series Forecasting Benchmarks
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LiveDrill: Multimodal Segment-Triggered Data-to-Text for Time Series Foundation Models
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LLM-Integrated Bayesian State Space Models for Multimodal Time-Series Forecasting
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LTSM-Bundle: A Toolbox and Benchmark on Large Language Models for Time Series Forecasting
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OATS: Online Data Augmentation for Time Series Foundation Models
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On the Internal Semantics of Time-Series Foundation Models
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Pre-trained Forecasting Models: Strong Zero-Shot Feature Extractors for Time Series Classification
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qHuBERT: Quantized Model for ECG Classification
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TempusBench: An Evaluation Framework for Time-Series Forecasting
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Time Series Representations for Classification Lie Hidden in Pretrained Vision Transformers
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time2time: Causal Intervention in Hidden States to Simulate Rare Events in Time Series Foundation Models
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TimeCopilot
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TimeMaster: Training Time-Series Multimodal LLMs to Reason via Reinforcement Learning
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TimeSeriesExamAgent: Creating TimeSeries Reasoning Benchmarks at Scale
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TimeSqueeze: Dynamic Patching for Efficient Time Series Forecasting
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Zero Shot Time Series Forecasting: Do Time Series FMs Outperform Cross Modal FMs?
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Zero-shot forecasting of epidemics
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Zero-to-Forecast: Natural Language to Time Series Prediction via Cross-Modal Ensembles