יום ראשון, 4 באוקטובר 2026 LIVE
AI־INFO

כתבה arXiv cs.CL ·

TRACE: תיעוד זמני ובדיקה תנאית של תחביר וידאו

TRACE: Temporal Audit and Condition-aware Evaluation of Streaming Video Understanding
מערכת חדשה לבדיקה והערכה של תחביר וידאו, המתאימה לעיבוד וידאו זרם.
תקציר מקורי באנגליתarXiv:2609.30670v1 Announce Type: new Abstract: Streaming video understanding requires models to interpret evidence as it arrives, yet current evaluations often report task scores without specifying when evidence becomes valid, how visual history is maintained, or how responses are triggered. As a result, similar scores may correspond to different workloads, failure modes, and operational behavior. We introduce TRACE (Temporal Audit and Condition-aware Evaluation), a condition-aware benchmark and evaluation framework that makes these factors explicit. TRACE combines temporally audited visual tasks with evidence timing and instruction-dependent trigger annotations, a unified causal Core--Adapter protocol that controls information availability while recording actual history processing and re
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