ICDM 2026 Workshop---LLM for Tensor Analysis & Tensor for LLM Advancement (LLMTenA 2026)

Call for Papers:

LLMTenA 2026 focuses on the emerging synergy between Large Language Models (LLMs) and tensor analysis. The central theme is a bidirectional research exchange:

1. LLM → Tensor: using LLMs to advance tensor-based data analysis, and

2. Tensor → LLM: using tensor methods to improve efficiency, interpretability, robustness, and scalability of LLMs.

We invite original submissions on topics including, but not limited to:

* Tensor-based compression and acceleration of LLMs

* LLM-enhanced tensor decomposition, denoising, and completion

* Multi-modal data fusion using tensors and LLMs

* Interpretability, explainability, and reliability of LLMs via tensor methods

* Tensor networks for efficient fine-tuning and prompt engineering

* Knowledge graph embedding and reasoning with tensors and LLMs

* Applications in recommendation systems, tabular data analysis, neuroscience, spatio-temporal data, and multi-agent systems

For more information, please visit https://researchyes.github.io/ICDM2026-Workshop-LLMTenA