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