collaborators

6 papers

cs.CL2026

KnowAct-GUIClaw: Know Deeply, Act Perfectly, Personal GUI Assistant with Self-Evolving Memory and Skill

Yunxin Li, Jinchao Li, Shibo Su +7

The paper introduces KnowAct-GUIClaw, an agent framework that combines accumulated user interaction knowledge with a self‑evolving memory and skill library to improve cross‑platfor…

cs.CV2026

VisualLeakBench: Reproducible Action-Boundary Propagation Failures in Vision-Language Agents

Youting Wang, Yuan Tang, Yitian Qian +1

Vision-language agents increasingly consume screenshots, documents, and user interfaces before writing to memory, sending messages, or invoking external tools. We study a concrete…

cs.AI2026

WindowsWorld: A Process-Centric Benchmark of Autonomous GUI Agents in Professional Cross-Application Environments

Jinchao Li, Yunxin Li, Chenrui Zhao +3

While GUI agents have shown impressive capabilities in common computer-use tasks such as OSWorld, current benchmarks mainly focus on isolated and single-application tasks. This ove…

cs.CV2026

Superclass-Guided Representation Disentanglement for Spurious Correlation Mitigation

Chenruo Liu, Hongjun Liu, Zeyu Lai +3

To enhance group robustness to spurious correlations, prior work often relies on auxiliary group annotations and assumes identical sets of groups across training and test domains.…

cs.AI2025

SwarmSys: Decentralized Swarm-Inspired Agents for Scalable and Adaptive Reasoning

Ruohao Li, Hongjun Liu, Leyi Zhao +7

Large language model (LLM) agents have shown remarkable reasoning abilities. However, existing multi-agent frameworks often rely on fixed roles or centralized control, limiting sca…

cs.AI2025

MedMMV: A Controllable Multimodal Multi-Agent Framework for Reliable and Verifiable Clinical Reasoning

Hongjun Liu, Yinghao Zhu, Yuhui Wang +4

Recent progress in multimodal large language models (MLLMs) has demonstrated promising performance on medical benchmarks and in preliminary trials as clinical assistants. Yet, our…