attention mechanisms 1benchmark evaluation 1clustering 1efficient inference 1graph neural networks 1large language models 1multi-agent systems 1natural language interfaces 1spreadsheet automation 1traffic forecasting 1
From the 2 of 2 linked papers with an AI index.
2 papers
cs.LG2026
EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting
Mingxing Xu, Rakesh Chowdary Machineni, Ke Liu +7
The paper introduces EMAGN, a graph neural network that uses learned clustering to linearize multi-head attention, enabling scalable traffic forecasting with reduced computation an…
cs.HC2026
SheetMind: An End-to-End LLM-Powered Multi-Agent Framework for Spreadsheet Automation
Xi Cheng, Ruiyan Zhu, Ke Liu +8
SheetMind is a modular multi‑agent framework that uses large language models to translate natural‑language instructions into spreadsheet actions, employing manager, action, and ref…