{"total":143,"rows":[{"id":"2407.13278","title":"Deep Time Series Models: A Comprehensive Survey and Benchmark","created":"2024-07-18","cited_by_count":197,"area":null},{"id":"2406.16964","title":"Are Language Models Actually Useful for Time Series Forecasting?","created":"2024-06-22","cited_by_count":168,"area":null},{"id":"2402.01801","title":"Large Language Models for Time Series: A Survey","created":"2024-02-02","cited_by_count":114,"area":null},{"id":"2310.08278","title":"Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting","created":"2023-10-12","cited_by_count":113,"area":null},{"id":"2310.10196","title":"Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook","created":"2023-10-16","cited_by_count":110,"area":null},{"id":"2403.07300","title":"CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning","created":"2024-03-12","cited_by_count":108,"area":null},{"id":"2409.18479","title":"CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns","created":"2024-09-27","cited_by_count":106,"area":null},{"id":"2403.00131","title":"UniTS: A Unified Multi-Task Time Series Model","created":"2024-02-29","cited_by_count":94,"area":null},{"id":"2401.10134","title":"Spatial-Temporal Large Language Model for Traffic Prediction","created":"2024-01-18","cited_by_count":83,"area":null},{"id":"2406.08627","title":"Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis","created":"2024-06-12","cited_by_count":74,"area":null},{"id":"2402.02370","title":"AutoTimes: Autoregressive Time Series Forecasters via Large Language Models","created":"2024-02-04","cited_by_count":65,"area":null},{"id":"2402.03182","title":"Empowering Time Series Analysis with Large Language Models: A Survey","created":"2024-02-05","cited_by_count":60,"area":null},{"id":"2502.10721","title":"A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy Perspective","created":"2025-02-15","cited_by_count":58,"area":null},{"id":"2402.10350","title":"Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review","created":"2024-02-15","cited_by_count":53,"area":null},{"id":"2410.14752","title":"TimeSeriesExam: A time series understanding exam","created":"2024-10-18","cited_by_count":49,"area":null},{"id":"2402.10835","title":"Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities","created":"2024-02-16","cited_by_count":48,"area":null},{"id":"2502.08942","title":"Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal Narrative","created":"2025-02-13","cited_by_count":40,"area":null},{"id":"2501.03747","title":"Context-Alignment: Activating and Enhancing LLM Capabilities in Time Series","created":"2025-01-07","cited_by_count":39,"area":null},{"id":"2402.19348","title":"Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook","created":"2024-02-29","cited_by_count":33,"area":null},{"id":"2401.17548","title":"Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators","created":"2024-01-31","cited_by_count":32,"area":null},{"id":"2402.04852","title":"Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning","created":"2024-02-07","cited_by_count":25,"area":null},{"id":"2411.02796","title":"Specialized Foundation Models Struggle to Beat Supervised Baselines","created":"2024-11-05","cited_by_count":24,"area":null},{"id":"2402.01749","title":"Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models","created":"2024-01-30","cited_by_count":23,"area":null},{"id":"2402.10802","title":"TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models","created":"2024-02-16","cited_by_count":23,"area":null},{"id":"2405.02358","title":"Empowering Time Series Analysis with Foundation Models: A Comprehensive Survey","created":"2024-05-03","cited_by_count":23,"area":null},{"id":"2408.03475","title":"Can LLMs Serve As Time Series Anomaly Detectors?","created":"2024-08-06","cited_by_count":22,"area":null},{"id":"2411.00823","title":"Mobility-LLM: Learning Visiting Intentions and Travel Preferences from Human Mobility Data with Large Language Models","created":"2024-10-29","cited_by_count":22,"area":null},{"id":"2502.09741","title":"FoNE: Precise Single-Token Number Embeddings via Fourier Features","created":"2025-02-13","cited_by_count":22,"area":null},{"id":"2403.14661","title":"Towards Modeling Learner Performance with Large Language Models","created":"2024-02-29","cited_by_count":21,"area":null},{"id":"2410.16928","title":"xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories","created":"2024-10-22","cited_by_count":19,"area":null},{"id":"2507.12472","title":"A Survey of AIOps in the Era of Large Language Models","created":"2025-06-23","cited_by_count":19,"area":null},{"id":"2403.05798","title":"$\\textbf{S}^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting","created":"2024-03-09","cited_by_count":17,"area":null},{"id":"2405.20348","title":"Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models","created":"2024-05-24","cited_by_count":15,"area":null},{"id":"2503.08015","title":"GPT-PPG: A GPT-based Foundation Model for Photoplethysmography Signals","created":"2025-03-11","cited_by_count":15,"area":null},{"id":"2405.09592","title":"A Survey of Generative Techniques for Spatial-Temporal Data Mining","created":"2024-05-15","cited_by_count":14,"area":null},{"id":"2505.20446","title":"Time Series Generation Under Data Scarcity: A Unified Generative Modeling Approach","created":"2025-05-26","cited_by_count":14,"area":null},{"id":"2412.08906","title":"Federated Foundation Models on Heterogeneous Time Series","created":"2024-12-12","cited_by_count":13,"area":null},{"id":"2508.09191","title":"From Values to Tokens: An LLM-Driven Framework for Context-aware Time Series Forecasting via Symbolic Discretization","created":"2025-08-08","cited_by_count":13,"area":null},{"id":"2410.07018","title":"Tri-Level Navigator: LLM-Empowered Tri-Level Learning for Time Series OOD Generalization","created":"2024-10-09","cited_by_count":12,"area":null},{"id":"2505.02583","title":"Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era","created":"2025-05-05","cited_by_count":12,"area":null},{"id":"2506.21611","title":"When Does Multimodality Lead to Better Time Series Forecasting?","created":"2025-06-20","cited_by_count":11,"area":null},{"id":"2510.03117","title":"Taming Text-to-Sounding Video Generation via Advanced Modality Condition and Interaction","created":"2025-10-03","cited_by_count":11,"area":null},{"id":"2407.09096","title":"STD-PLM: Understanding Both Spatial and Temporal Properties of Spatial-Temporal Data with PLM","created":"2024-07-12","cited_by_count":10,"area":null},{"id":"2408.04057","title":"PowerPM: Foundation Model for Power Systems","created":"2024-08-07","cited_by_count":9,"area":null},{"id":"2502.14045","title":"There are no Champions in Supervised Long-Term Time Series Forecasting","created":"2025-02-19","cited_by_count":8,"area":null},{"id":"2510.22880","title":"Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data","created":"2025-10-27","cited_by_count":8,"area":null},{"id":"2411.12972","title":"UniFlow: A Foundation Model for Unified Urban Spatio-Temporal Flow Prediction","created":"2024-11-20","cited_by_count":7,"area":null},{"id":"2502.05790","title":"Breaking the Frozen Subspace: Importance Sampling for Low-Rank Optimization in LLM Pretraining","created":"2025-02-09","cited_by_count":7,"area":null},{"id":"2505.15072","title":"MoTime: A Dataset Suite for Multimodal Time Series Forecasting","created":"2025-05-21","cited_by_count":7,"area":null},{"id":"2510.19710","title":"SEMPO: Lightweight Foundation Models for Time Series Forecasting","created":"2025-10-22","cited_by_count":7,"area":null},{"id":"2312.12276","title":"POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning","created":"2023-12-19","cited_by_count":6,"area":null},{"id":"2406.02131","title":"CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting","created":"2024-06-04","cited_by_count":6,"area":null},{"id":"2406.08765","title":"LLM-based Knowledge Pruning for Time Series Data Analytics on Edge-computing Devices","created":"2024-06-13","cited_by_count":6,"area":null},{"id":"2410.03794","title":"Repurposing Foundation Model for Generalizable Medical Time Series Classification","created":"2024-10-03","cited_by_count":6,"area":null},{"id":"2501.17888","title":"RadioLLM: Introducing Large Language Model into Cognitive Radio via Hybrid Prompt and Token Reprogrammings","created":"2025-01-28","cited_by_count":6,"area":null},{"id":"2503.16991","title":"TRACE: Time SeRies PArameter EffiCient FinE-tuning","created":"2025-03-21","cited_by_count":6,"area":null},{"id":"2506.08641","title":"Unlocking Pretrained Vision Transformers for Time Series Classification","created":"2025-06-10","cited_by_count":6,"area":null},{"id":"2508.12235","title":"CC-Time: Cross-Model and Cross-Modality Time Series Forecasting","created":"2025-08-17","cited_by_count":6,"area":null},{"id":"2405.11124","title":"AdaWaveNet: Adaptive Wavelet Network for Time Series Analysis","created":"2024-05-17","cited_by_count":5,"area":null},{"id":"2410.03806","title":"Metadata Matters for Time Series: Informative Forecasting with Transformers","created":"2024-10-04","cited_by_count":5,"area":null},{"id":"2502.01922","title":"LAST SToP For Modeling Asynchronous Time Series","created":"2025-02-04","cited_by_count":5,"area":null},{"id":"2411.00929","title":"Text2Freq: Learning Series Patterns from Text via Frequency Domain","created":"2024-11-01","cited_by_count":4,"area":null},{"id":"2411.15743","title":"Beyond Data Scarcity: A Frequency-Driven Framework for Zero-Shot Forecasting","created":"2024-11-24","cited_by_count":4,"area":null},{"id":"2411.18506","title":"LLM-ABBA: Understanding time series via symbolic approximation","created":"2024-11-27","cited_by_count":4,"area":null},{"id":"2412.02525","title":"LLMForecaster: Improving Seasonal Event Forecasts with Unstructured Textual Data","created":"2024-12-03","cited_by_count":4,"area":null},{"id":"2501.07048","title":"Unveiling the Potential of Text in High-Dimensional Time Series Forecasting","created":"2025-01-13","cited_by_count":4,"area":null},{"id":"2502.03264","title":"GTM: A General Time-series Model for Enhanced Representation Learning of Time-Series Data","created":"2025-02-05","cited_by_count":4,"area":null},{"id":"2504.02119","title":"Efficient Model Selection for Time Series Forecasting via LLMs","created":"2025-04-02","cited_by_count":4,"area":null},{"id":"2504.07360","title":"Enhancing Time Series Forecasting via Multi-Level Text Alignment with LLMs","created":"2025-04-10","cited_by_count":4,"area":null},{"id":"2505.10774","title":"Context-Aware Probabilistic Modeling with LLM for Multimodal Time Series Forecasting","created":"2025-05-16","cited_by_count":4,"area":null},{"id":"2508.00933","title":"OKG-LLM: Aligning Ocean Knowledge Graph with Observation Data via LLMs for Global Sea Surface Temperature Prediction","created":"2025-07-31","cited_by_count":4,"area":null},{"id":"2603.23987","title":"Can we generate portable representations for clinical time series data using LLMs?","created":"2026-03-25","cited_by_count":4,"area":null},{"id":"2406.18069","title":"Large Language Models for Cuffless Blood Pressure Measurement From Wearable Biosignals","created":"2024-06-26","cited_by_count":3,"area":null},{"id":"2409.06282","title":"ReAugment: Model Zoo-Guided RL for Few-Shot Time Series Augmentation and Forecasting","created":"2024-09-10","cited_by_count":3,"area":null},{"id":"2410.08224","title":"A Survey of Spatio-Temporal EEG data Analysis: from Models to Applications","created":"2024-09-26","cited_by_count":3,"area":null},{"id":"2410.16489","title":"LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling","created":"2024-10-21","cited_by_count":3,"area":null},{"id":"2502.19960","title":"SeisMoLLM: Advancing Seismic Monitoring via Cross-modal Transfer with Pre-trained Large Language Model","created":"2025-02-27","cited_by_count":3,"area":null},{"id":"2505.01135","title":"Dual-Forecaster: A Multimodal Time Series Model Integrating Descriptive and Predictive Texts","created":"2025-05-02","cited_by_count":3,"area":null},{"id":"2506.11040","title":"Large Language models for Time Series Analysis: Techniques, Applications, and Challenges","created":"2025-05-21","cited_by_count":3,"area":null},{"id":"2509.04208","title":"One-Embedding-Fits-All: Efficient Zero-Shot Time Series Forecasting by a Model Zoo","created":"2025-09-04","cited_by_count":3,"area":null},{"id":"2511.07237","title":"The Few Govern the Many:Unveiling Few-Layer Dominance for Time Series Models","created":"2025-11-10","cited_by_count":3,"area":null},{"id":"2601.03181","title":"Multi-Modal Data-Enhanced Foundation Models for Prediction and Control in Wireless Networks: A Survey","created":"2026-01-06","cited_by_count":3,"area":null},{"id":"2603.15506","title":"Seeking SOTA: Time-Series Forecasting Must Adopt Taxonomy-Specific Evaluation to Dispel Illusory Gains","created":"2026-03-16","cited_by_count":3,"area":null},{"id":"2603.21612","title":"Towards Multimodal Time Series Anomaly Detection with Semantic Alignment and Condensed Interaction","created":"2026-03-23","cited_by_count":3,"area":null},{"id":"2609.04239","title":"EXAONE Finance 1.0: An Attention-free Time Series Foundation Model for Financial Time Series","created":"2026-08-04","cited_by_count":3,"area":null},{"id":"2406.12738","title":"Large Language Model as a Universal Clinical Multi-task Decoder","created":"2024-06-18","cited_by_count":2,"area":null},{"id":"2408.14505","title":"RePST: Language Model Empowered Spatio-Temporal Forecasting via Semantic-Oriented Reprogramming","created":"2024-08-24","cited_by_count":2,"area":null},{"id":"2409.10176","title":"TCDformer-based Momentum Transfer Model for Long-term Sports Prediction","created":"2024-09-16","cited_by_count":2,"area":null},{"id":"2502.05701","title":"TOKON: TOKenization-Optimized Normalization for time series analysis with a large language model","created":"2025-02-08","cited_by_count":2,"area":null},{"id":"2502.18218","title":"FLARE: A Framework for Stellar Flare Forecasting using Stellar Physical Properties and Historical Records","created":"2025-02-25","cited_by_count":2,"area":null},{"id":"2504.10900","title":"Bridging Distribution Gaps in Time Series Foundation Model Pretraining with Prototype-Guided Normalization","created":"2025-04-15","cited_by_count":2,"area":null},{"id":"2504.16432","title":"iTFKAN: Interpretable Time Series Forecasting with Kolmogorov-Arnold Network","created":"2025-04-23","cited_by_count":2,"area":null},{"id":"2505.02880","title":"Beyond Fixed Patches: Enhancing GPTs for Financial Prediction with Adaptive Segmentation and Learnable Wavelets","created":"2025-05-05","cited_by_count":2,"area":null},{"id":"2509.12080","title":"A Time-Series Foundation Model by Universal Delay Embedding","created":"2025-09-15","cited_by_count":2,"area":null},{"id":"2509.20645","title":"Anticipatory Evaluation of Language Models: Predicting LLM Benchmark Scores from Descriptions","created":"2025-09-25","cited_by_count":2,"area":null},{"id":"2512.08954","title":"An Electrocardiogram Multi-task Benchmark with Comprehensive Evaluations and Insightful Findings","created":"2025-11-28","cited_by_count":2,"area":null},{"id":"2602.04369","title":"Multi-scale hypergraph meets LLMs: Aligning large language models for time series analysis","created":"2026-02-04","cited_by_count":2,"area":null},{"id":"2605.03410","title":"Geometry over Density: Few-Shot Cross-Domain OOD Detection","created":"2026-05-05","cited_by_count":2,"area":null},{"id":"2605.13711","title":"MILM: Large Language Models for Multimodal Irregular Time Series with Informative Sampling","created":"2026-05-13","cited_by_count":2,"area":null},{"id":"2606.06285","title":"TRACE: A Temporal Conditional Estimation for Multimodal Time Series Foundation Models","created":"2026-06-04","cited_by_count":2,"area":null}],"next_cursor":"100"}