Welcome to the official website of the ICDM 2026 workshop on LLM for Tensor Analysis & Tensor for LLM Advancement.
While tensors are a powerful tool for representing multi-dimensional real-world data (like MRI and videos) and LLMs have revolutionized language and multi-modal tasks, the two fields have largely developed independently. This workshop (LLMTenA 2026) aims to bridge this gap by exploring a two-way synergy: using tensors to help compress, interpret, and improve LLMs, and using LLMs to enhance traditional tensor tasks like completion and decomposition.
Leveraging LLMs to enhance tensor-based data analysis; Utilizing tensor methods to improve the efficiency, interpretability, and robustness of LLMs
Researchers, practitioners, students, industry partners, etc.
Looking forward to seeing you at Shenyang.
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CUHK-Shenzhen
DeepMind
RIKEN
CUHK-Shenzhen
Link this to the conference submission system once it is available.
For ICDM workshops, each paper is limited to a maximum of 8 pages, plus 2 additional pages if necessary. All submissions must be original, unpublished work and comply with the double-blind review policy. Accepted papers will be published in the joint ICDM workshop proceedings and archived in IEEE Xplore.
To be announced