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LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters

https://doi.org/10.1145/3719207

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Transfer Learning for Financial Time Series Forecasting

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Transformers in Time-Series Analysis: A Tutorial

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Temporal convolutional neural (TCN) network for an effective weather forecasting using time-series data from the local weather station

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Time-series forecasting with deep learning: a survey

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Simple Contrastive Representation Learning for Time Series Forecasting

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inferredcites →https://doi.org/10.1145/3630637openalex-snapshot

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inferredcites →https://doi.org/10.1609/aaai.v35i12.17325openalex-snapshot

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inferredcites →https://doi.org/10.1609/aaai.v36i7.20729openalex-snapshot

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inferredcites →https://doi.org/10.1609/aaai.v36i8.20881openalex-snapshot

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inferredcites →https://doi.org/10.1609/aaai.v37i9.26317openalex-snapshot

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One Fits All: Power General Time Series Analysis by Pretrained LM

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inferred← citeshttps://doi.org/10.1007/978-3-032-21168-2_1openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-3-032-31654-7_22openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-3-032-32732-1_1openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-3-032-38410-2_37openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.eswa.2026.133799openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113478openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113808openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.knosys.2026.115557openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.knosys.2026.115938openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.measurement.2026.120839openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.multra.2026.100308openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.neucom.2026.135322openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.neunet.2026.108687openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.patcog.2026.114817openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.patcog.2026.114944openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.trd.2026.105638openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.xinn.2025.100948openalex-snapshot

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inferred← citeshttps://doi.org/10.1049/pel2.70207openalex-snapshot

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inferred← citeshttps://doi.org/10.1080/09544828.2025.2574208openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/access.2025.3570618openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/access.2025.3624012openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/brains67003.2025.11302944openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/comst.2024.3423319openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/comst.2024.3465447openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/ecti-con64996.2025.11100774openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/eespe68405.2026.11648328openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/icpsasia70813.2026.11692002openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/jiot.2024.3524030openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/phm-xian66756.2025.11427647openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/smartiot70864.2026.00049openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/tai.2025.3572853openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/ton.2026.3677371openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/tpami.2025.3602445openalex-snapshot

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inferred← citeshttps://doi.org/10.1371/journal.pone.0358970openalex-snapshot

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inferred← citeshttps://doi.org/10.2139/ssrn.5708802openalex-snapshot

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inferred← citeshttps://doi.org/10.2139/ssrn.5868817openalex-snapshot

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inferred← citeshttps://doi.org/10.2139/ssrn.7292120openalex-snapshot

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inferred← citeshttps://doi.org/10.2139/ssrn.7506437openalex-snapshot

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inferred← citeshttps://doi.org/10.21468/scipostphys.20.3.070openalex-snapshot

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inferred← citeshttps://doi.org/10.29132/ijpas.1559013openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/a18120791openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/app16189140openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/asi9090178openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/data10100161openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/electronics15071345openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/en18112902openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/fi18100550openalex-snapshot

Evaluating the Robustness of Zero-Shot Time Series Models Against Data Degradation in Industrial Sensor Streams

inferred← citeshttps://doi.org/10.3390/smartcities8060201openalex-snapshot

Unleashing the Potential of Large Language Models in Urban Data Analytics: A Review of Emerging Innovations and Future Research

inferred← citeshttps://doi.org/10.61882/jsdp.22.2.109openalex-snapshot

Review on Large Language Models in Finance: Text and Time Series Analysis for Investor Behavior and Market Prediction

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.