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Understanding time series is crucial for its application in real-world scenarios.
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Videochat: Chat-centric video understanding
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Synthetic data could be better than real data
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Wizardlm: Empowering large language models to follow complex instructions
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Zero-shot ECG diagnosis with large language models and retrieval-augmented generation. In Machine Learning for Health (ML4H) . PMLR, 650–663
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Position paper: What can large language models tell us about time series analysis
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Time-MMD: A New Multi-Domain Multimodal Dataset for Time Series Analysis
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Mmevol: Empowering multimodal large language models with evol-instruct
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Language Models Still Struggle to Zero-shot Reason about Time Series
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Ecg-qa: A comprehensive question answering dataset combined with electrocardiogram
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Unifying large language models and knowledge graphs: A roadmap
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Large language models for forecasting and anomaly detection: A systematic literature review
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A survey on multimodal large language models
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Luke Yoffe, Alfonso Amayuelas, and William Yang Wang. 2024 · 2024
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Mm-llms: Recent advances in multimodal large language models
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GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks. In Proceedings of the ACM on Web Conference 2024 . 1003–1014
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See it, Think it, Sorted: Large Multimodal Models are Few-shot Time Series Anomaly Analyzers
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