{"total":14,"rows":[{"id":"2410.05440","title":"Can LLMs Understand Time Series Anomalies?","created":"2024-10-07","cited_by_count":41,"area":null},{"id":"2503.13502","title":"Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey","created":"2025-03-12","cited_by_count":24,"area":null},{"id":"2503.11835","title":"How Can Time Series Analysis Benefit From Multiple Modalities? A Survey and Outlook","created":"2025-03-14","cited_by_count":20,"area":null},{"id":"2503.14190","title":"Inferring Events from Time Series using Language Models","created":"2025-03-18","cited_by_count":10,"area":null},{"id":"2509.00622","title":"BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting","created":"2025-08-30","cited_by_count":6,"area":null},{"id":"2501.12640","title":"Toxicity Begets Toxicity: Unraveling Conversational Chains in Political Podcasts","created":"2025-01-22","cited_by_count":4,"area":null},{"id":"2509.24378","title":"AXIS: Explainable Time Series Anomaly Detection with Large Language Models","created":"2025-09-29","cited_by_count":4,"area":null},{"id":"2502.06911","title":"Foundation Models for Anomaly Detection: Vision and Challenges","created":"2025-02-10","cited_by_count":3,"area":null},{"id":"2508.19563","title":"Robustness is Important: Limitations of LLMs for Data Fitting","created":"2025-08-27","cited_by_count":2,"area":null},{"id":"2601.19255","title":"LLM-Assisted Logic Rule Learning: Scaling Human Expertise for Time Series Anomaly Detection","created":"2026-01-27","cited_by_count":2,"area":null},{"id":"2507.12295","title":"Text-ADBench: Text Anomaly Detection Benchmark Based on LLM Embeddings","created":"2025-07-16","cited_by_count":1,"area":null},{"id":"2506.22927","title":"Towards Time Series Generation Conditioned on Unstructured Natural Language","created":"2025-06-28","cited_by_count":0,"area":null},{"id":"2508.20578","title":"Human-AI Collaborative Bot Detection in MMORPGs","created":"2025-08-28","cited_by_count":0,"area":null},{"id":"2603.26842","title":"VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection","created":"2026-03-27","cited_by_count":0,"area":null}],"next_cursor":null}