collaborators

5 papers

cs.CR2026

Understanding and Evaluating Claw-like Agent Security Through a Computer-Systems Lens

Peizhi Niu, Wenjie Qu, Shangding Gu +14

Claw-like AI agents (e.g., OpenClaw) are always-on processes with persistent access to credentials, files, tools, and external services. They take on system-level responsibilities…

cs.AI2026

AQuaUI: Visual Token Reduction for GUI Agents with Adaptive Quadtrees

Yuankai Li, Tinghui Zhu, Ha Min Son +3

Large Multimodal Models (LMMs) have recently emerged as promising backbones for GUI-agent models, where high-resolution GUI screenshots are introduced to the prompts at each iterat…

cs.CV2026

Video Models Can Reason with Verifiable Rewards

Tinghui Zhu, Sheng Zhang, James Y. Huang +5

Video diffusion models have made rapid progress in perceptual realism and temporal coherence, but they remain primarily optimized for plausible generation rather than verifiable re…

cs.CL2026

BRIEF-Pro: Universal Context Compression with Short-to-Long Synthesis for Fast and Accurate Multi-Hop Reasoning

Jia-Chen Gu, Junyi Zhang, Di Wu +3

As retrieval-augmented generation (RAG) tackles complex tasks, increasingly expanded contexts offer richer information, but at the cost of higher latency and increased cognitive lo…

cs.CL2025

BRIEF: Bridging Retrieval and Inference for Multi-hop Reasoning via Compression

Yuankai Li, Jia-Chen Gu, Di Wu +2

Retrieval-augmented generation (RAG) can supplement large language models (LLMs) by integrating external knowledge. However, as the number of retrieved documents increases, the inp…