collaborators

11 papers

cs.AI2026

ToolCUA: Towards Optimal GUI-Tool Path Orchestration for Computer Use Agents

Xuhao Hu, Xi Zhang, Haiyang Xu +6

Computer Use Agents (CUAs) can act through both atomic GUI actions, such as click and type, and high-level tool calls, such as API-based file operations, but this hybrid action spa…

cs.CL2026

DARE: Diffusion Large Language Models Alignment and Reinforcement Executor

Jingyi Yang, Yuxian Jiang, Xuhao Hu +3

Diffusion large language models (dLLMs) are emerging as a compelling alternative to dominant autoregressive models, replacing strictly sequential token generation with iterative de…

cs.AI2026

Mobile-Agent-v3.5: Multi-platform Fundamental GUI Agents

Haiyang Xu, Xi Zhang, Haowei Liu +16

The paper introduces GUI-Owl-1.5, the latest native GUI agent model that features instruct/thinking variants in multiple sizes (2B/4B/8B/32B/235B) and supports a range of platforms…

cs.CL2026

DeepSight: An All-in-One LM Safety Toolkit

Bo Zhang, Jiaxuan Guo, Lijun Li +17

As the development of Large Models (LMs) progresses rapidly, their safety is also a priority. In current Large Language Models (LLMs) and Multimodal Large Language Models (MLLMs) s…

cs.CL2026

LLMs Deceive Unintentionally: Emergent Misalignment in Dishonesty from Misaligned Samples to Biased Human-AI Interactions

Xuhao Hu, Peng Wang, Xiaoya Lu +3

Previous research has shown that LLMs finetuned on malicious or incorrect completions within narrow domains (e.g., insecure code or incorrect medical advice) can become broadly mis…

cs.AI2025

IS-Bench: Evaluating Interactive Safety of VLM-Driven Embodied Agents in Daily Household Tasks

Xiaoya Lu, Zeren Chen, Xuhao Hu +5

Flawed planning from VLM-driven embodied agents poses significant safety hazards, hindering their deployment in real-world household tasks. However, existing static, non-interactiv…