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arXiv — cs.AI

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TimeThink: Eliciting Compositional Reasoning in Timeseries Large Language Models

Timeseries multimodal large language models (TS-MLLMs) have recently begun leveraging the reasoning capabilities of large language models (LLMs) for question-answering tasks. However, these models often fail to capture dynamic temporal patterns, providing only implicit reasoning…

arXiv — cs.AIBy: Sudarshan Regmi, Arvind Pillai, Yu Yvonne Wu, Yuliang Chen, Bibek Panthi, Tess Z. Griffin, Michael V. Heinz, Lisa Marsch, Nicholas C. Jacobson, Andrew CampbellSeptember 15, 2026 (Sep 15)
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AI Summary & Key Takeaways

  • Timeseries multimodal large language models (TS-MLLMs) have recently begun leveraging the reasoning capabilities of large language models (LLMs) for question-answering tasks
  • However, these models often fail to capture dynamic temporal patterns, providing only implicit reasoning…
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TimeThink: Eliciting Compositional Reasoning in Timeseries Large Language Models

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