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

Research article (ACM Transactions on Intelligent Systems and Technology, 2025) · cited 74× · AI/ML
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LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters

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LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters is a scholarly article[1].

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  • LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters. Retrieved May 24, 2026, from https://4ort.xyz/entity/llm4ts-aligning-pre-trained-llms-as-data-efficient-time-series-forecasters
MLA “LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/llm4ts-aligning-pre-trained-llms-as-data-efficient-time-series-forecasters.
BibTeX @misc{4ortxyz_llm4ts-aligning-pre-trained-llms-as-data-efficient-time-series-forecasters_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters}}, year = {2026}, url = {https://4ort.xyz/entity/llm4ts-aligning-pre-trained-llms-as-data-efficient-time-series-forecasters}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters — https://4ort.xyz/entity/llm4ts-aligning-pre-trained-llms-as-data-efficient-time-series-forecasters (retrieved 2026-05-24)

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