most citedAgentic Workflow for Education: Concepts and Applications

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Would You Walk to the Car Wash? Salience Bias in LLM Commonsense Reasoning

Zheng Wu, Chenhao Xue, Shijie Zheng +3

Despite advances in complex reasoning, large language models (LLMs) can prioritize explicit input conditions over implicit task prerequisites. In everyday commonsense reasoning, th…

cs.AI2026

Communication Policy Evolution for Proactive LLM Agents

Xinbei Ma, Jiyang Qiu, Yao Yao +10

LLM agents have rapidly evolved into autonomous systems, yet a persistent information gap remains between users and agents: communication is costly, while users' identical preferen…

cs.CL2026

OS-SPEAR: A Toolkit for the Safety, Performance,Efficiency, and Robustness Analysis of OS Agents

Zheng Wu, Yi Hua, Zhaoyuan Huang +8

The evolution of Multimodal Large Language Models (MLLMs) has shifted the focus from text generation to active behavioral execution, particularly via OS agents navigating complex G…

cs.CY2025★ 1 cited

Agentic Workflow for Education: Concepts and Applications

Yuan-Hao Jiang, Yijie Lu, Ling Dai +3

With the rapid advancement of Large Language Models (LLMs) and Artificial Intelligence (AI) agents, agentic workflows are showing transformative potential in education. This study…

cs.AI2025

EVA: Evolving Semantic Adversaries for Red-Teaming GUI Agents Against Environmental Injection Attacks

Yijie Lu, Manman Zhao, Tianjie Ju +6

Graphical User Interface (GUI) agents powered by Multimodal Large Language Models (MLLMs) are increasingly deployed yet vulnerable to Environmental Injection Attacks (EIAs).However…