READ-Bench: Benchmarking Historical Instance Retrieval for Time-Series Diagnosis
cs.AI
Submitted: 2026-09-26
Updated: 2026-09-26
Code: https://github.com/junwoopark92/LLM-TSAD
Terminology
Sources
- Large language models can be zero-shot anomaly detectors for time series?
- Chronos-2: From Univariate to Universal Forecasting
- MS MARCO: A Human Generated MAchine Reading COmprehension Dataset
- TRACE: Grounding Time Series in Context for Multimodal Embedding and Retrieval
- Toto: Time Series Optimized Transformer for Observability
- MantisV2: Closing the Zero-Shot Gap in Time Series Classification with Synthetic Data and Test-Time Strategies
- Retrieval Augmented Time Series Forecasting
- Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection
- Bake off redux: a review and experimental evaluation of recent time series classification algorithms
- A Survey on Time-Series Distance Measures
- AnomaMind: Agentic Time Series Anomaly Detection with Tool-Augmented Reasoning
- Retrieval Augmented Time Series Forecasting
- ChatTS: Aligning Time Series with LLMs via Synthetic Data for Enhanced Understanding and Reasoning
- TS-Haystack: A Multi-Task Retrieval Benchmark for Long-Context Time-Series Reasoning
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