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
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
Long-term memory systems for large language models (LLMs) have gained popularity for extending reasoning capabilities across applications. Current memory systems rely on LLM agents to organize and consolidate memory, resulting in costly, inefficient write operations. To address this limitation, we propose MemFit, a lon...
A systematic study of three representative paradigms for training-free multi-subject I2V generation: direct, parallel, and sequential generation, revealing the strengths and limitations of each paradigm and offering practical insights for designing controllable multi-subject video generation systems.
Yan Qi, Ke-Xin Chen, Mu-Chao Ye et al.· 0 citations
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