Author

Hao-Ming Li

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#artificial intelligence Preprint Oct 2026

CUA-Recovery: Benchmarking Error Recovery in Long-Horizon Computer-Use Agents

CUA-Recovery is introduced, a benchmark comprising test and training suites across multiple desktop applications using ReRail, a framework for synthesizing long-horizon tasks and trajectories in a persistent desktop environment that shows that agents struggle both to recognize inherited errors and to complete the task.

Xue Hu, Hao-Ming Li, Yuxuan Wang et al. · 0 citations

#natural language process... Preprint Oct 2026

SAFE-Mem: Secure Agentic Memory with Fine-Grained Authority and Governance-Aware Retrieval

SAFE-Mem is a fine-grained memory governance framework that improves security while preserving legitimate memory use and attains the lowest attack success among defenses that retain legitimate memory, at least 77% below the strongest of them, and the highest answer accuracy of all evaluated defenses.

Hao-Ming Li, Ding-Yi Kang, Xue Hu et al. · 0 citations