works on

From the 1 of 6 linked papers with an AI index.

activity
20242026
collaborators

6 papers

cs.CR2026

FAVA: Formal Authorization for Verified Agents with Evidence-Backed Permission Graphs

Yifan Zhang, Xinkui Zhao, Sai Liu +3

FAVA is a framework that translates natural‑language tasks for large language model agents into structured permission constraints and uses SMT solving to verify and enforce safe ex…

cs.CL2026

Notes to Self: Can LLMs Benefit from Experiential Abstractions?

Chang Liu, Xinyu Li, Artur Dubrawski

Humans distill experience into reusable abstractions, e.g., strategies and cautionary reminders, and apply them to gradually solve problems more effectively. We study whether Large…

cs.LG2026

Towards Practical Multimodal Hospital Outbreak Detection

Chang Liu, Jieshi Chen, Alexander J. Sundermann +5

Rapid identification of outbreaks in hospitals is essential for controlling pathogens with epidemic potential. Although whole genome sequencing (WGS) remains the gold standard in o…

cs.AI2026

ProMAS: Proactive Error Forecasting for Multi-Agent Systems Using Markov Transition Dynamics

Xinkui Zhao, Sai Liu, Yifan Zhang +4

The integration of Large Language Models into Multi-Agent Systems (MAS) has enabled the so-lution of complex, long-horizon tasks through collaborative reasoning. However, this coll…

cs.DC2025

MUSE: A Heterogeneity-Aware Multimedia Search Engine for Mobile SoCs

Xinkui Zhao, Qingyu Ma, Yifan Zhang +8

On-device multimedia retrieval is vital for smartphones, enabling applications like cross-modal semantic search and multimodal personal AI agents. However, realizing efficient retr…

cs.LG2024

Multimodal Structure Preservation Learning

Chang Liu, Jieshi Chen, Lee H. Harrison +1

When selecting data to build machine learning models in practical applications, factors such as availability, acquisition cost, and discriminatory power are crucial considerations.…