Young Lee
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The paper introduces a novel multi-LLM orchestration system combined with symbolic execution to successfully detect memory vulnerabilities in uncompilable, incomplete Rust CVE code snippets, achieving a significantly higher detection rate than existing tools.
The paper proposes DRIFT, a drift-resilient Transformer framework that maintains high accuracy in detecting evolving Domain Generation Algorithms (DGAs) by learning invariant representations.
V-LynX is a framework that enhances Video LLMs by integrating new modalities into their existing token interface, achieving state-of-the-art performance across diverse video understanding tasks.
Papers
V-LynX: Token Interface Alignment for Video+X LLMs
V-LynX is a framework that enhances Video LLMs by integrating new modalities into their existing token interface, achieving state-of-the-art performance across diverse video understanding tasks.