Author

Luo-Xi Tang

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#artificial intelligence Preprint Oct 2026

Polar: LLM-Powered Synthesis of Real-World Cyber Evidence for Prioritization and Mitigation

Cyber threat analysis increasingly depends on evidence distributed across vendor advisories, vulnerability databases, and threat intelligence sources. Turning these fragmented observations into timely decisions requires models to connect technical severity with evolving exploitation evidence and available defensive act...

Luo-Xi Tang, Yu-Qiao Meng, Ankita Patra et al. · 0 citations

#artificial intelligence Preprint Oct 2026

Understanding and Mitigating Inference-Time Overreliance Using Agentic Memory

MEMTRIM is proposed, a plug-and-play framework that indexes memory evidence at write time and controls its reuse at read time that removes repeated or conflicting evidence while preserving useful memory-specific information, requires no retraining, and applies to both embedding-based and structured memory systems.

Luo-Xi Tang, Yu-Qiao Meng, Nilesh Auradkar et al. · 0 citations

#artificial intelligence Preprint Sep 2026

When Correct Memory Goes Wrong: Fuzzing Persistent Memory Use in LLM Agents

Persistent memory helps LLM agents carry information across long interactions, but correct memory can still be used incorrectly when queries change or memory states evolve. Existing work mainly studies memory content errors or evaluates fixed test cases, leaving memory-use failures hard to discover systematically. We f...

Yu-Qiao Meng, Luo-Xi Tang, Ying-Xue Zhang et al. · 0 citations