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A personalized Korean visual speech recognition (VSR) system is presented and the gap between the population-level benchmark score and an individual user's error is quantified, on the nine-camera OLKAVS corpus.
ValueDiff, a value-geometric eviction that ranks tokens by the L2 deviation of their value vectors from the cache mean, is presented, and value geometry emerges as the more reliable query-invariant eviction signal for sink-suppressed models.
Modern large language models (LLMs) operate in interactive multi-turn settings, making multi-turn jailbreaking a realistic threat model and an important setting for automated red teaming. A core challenge in learning multi-turn jailbreak attackers is credit assignment: different turns contribute differently to the fina...
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