3 papers
cs.AI2026
Sheet As Token: A Graph-Enhanced Representation for Multi-Sheet Spreadsheet Understanding
Yiming Lei, Yiqi Wang, Yuhang Yao +6
Workbook-scale spreadsheet understanding is increasingly important for language-model-based data analysis agents, but remains challenging because relevant information is often dist…
cs.AI2025
Beyond Parameters: Exploring Virtual Logic Depth for Scaling Laws
Ruike Zhu, Hanwen Zhang, Kevin Li +6
Scaling large language models typically involves three dimensions: depth, width, and parameter count. In this work, we explore a fourth dimension, \textbf{virtual logical depth} (V…
cs.AI2025
Beyond the Strongest LLM: Multi-Turn Multi-Agent Orchestration vs. Single LLMs on Benchmarks
Aaron Xuxiang Tian, Ruofan Zhang, Jiayao Tang +12
We study multi-turn multi-agent orchestration, where multiple large language model (LLM) agents interact over multiple turns by iteratively proposing answers or casting votes until…