2 papers
cs.HC2025
SheetMind: Actions Set Accuracy, Agents Set the Failure Mode
Xi Cheng, Ruiyan Zhu, Yanming Kang +11
Spreadsheet agents are converging on elaborate multi-agent designs, yet it is unclear how much of their performance comes from the agents rather than from the action interface they…
cs.SE2024
Co-Learning: Code Learning for Multi-Agent Reinforcement Collaborative Framework with Conversational Natural Language Interfaces
Jiapeng Yu, Yuqian Wu, Yajing Zhan +3
Online question-and-answer (Q\&A) systems based on the Large Language Model (LLM) have progressively diverged from recreational to professional use. This paper proposed a Multi-Age…