collaborators

8 papers

cs.AI2026

ScreenSearch: Uncertainty-Aware OS Exploration

Michael Solodko, Justin Wagle

Desktop GUI agents operate under partial observability: visually similar screens can correspond to different underlying workflow states, so locally plausible actions can lead to sh…

cs.CV2026

Covering Human Action Space for Computer Use: Data Synthesis and Benchmark

Miaosen Zhang, Xiaohan Zhao, Zhihong Tan +14

Computer-use agents (CUAs) automate on-screen work, as illustrated by GPT-5.4 and Claude. Yet their reliability on complex, low-frequency interactions is still poor, limiting user…

cs.CL2026

MoLoRA: Composable Specialization via Per-Token Adapter Routing

Shrey Shah, Justin Wagle

Multi-adapter serving systems route entire sequences to a single adapter, forcing a choice when requests span multiple domains. This assumption fails in two important settings: (1)…

cs.LG2026

Breaking and Fixing Defenses Against Control-Flow Hijacking in Multi-Agent Systems

Rishi Jha, Harold Triedman, Justin Wagle +1

Control-flow hijacking attacks manipulate orchestration mechanisms in multi-agent systems into performing unsafe actions that compromise the system and exfiltrate sensitive informa…

cs.AI2026

CUA-Skill: Develop Skills for Computer Using Agent

Tianyi Chen, Yinheng Li, Michael Solodko +12

Computer-Using Agents (CUAs) aim to autonomously operate computer systems to complete real-world tasks. However, existing agentic systems remain difficult to scale and lag behind h…

cs.CL2025

AppSelectBench: Application-Level Tool Selection Benchmark

Tianyi Chen, Michael Solodko, Sen Wang +14

Computer Using Agents (CUAs) are increasingly equipped with external tools, enabling them to perform complex and realistic tasks. For CUAs to operate effectively, application selec…