TurnWise improves streaming video RL with turn-level credit
TurnWise assigns turn-level advantages using silence-completed prefix scoring to reduce redundancy in streaming video policy learning
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TurnWise assigns turn-level advantages using silence-completed prefix scoring to reduce redundancy in streaming video policy learning
Under a matched recent-frame setup, ViSS improves OVO-Bench and helps hallucination detection most, while staying comparable on StreamingBench.
One checkpoint improves OVO-S-Bench, OST-Bench and UCS-Bench together, including a 13.41-point gain on OST-Bench.
DeltaStreamer combines change-aware memory and targeted replay for streaming video question answering.
OneStreamer-4B unifies streaming video perception, caption memory, and proactive responses, topping eight benchmarks.
APM-Bench evaluates persistent memory for streaming video assistants across 104 multi-session trajectories.
TRACE benchmarks streaming video models on timing, triggers, workload, and reliability, not accuracy alone.
ReactVAU is a slow-fast streaming framework for real-time video anomaly understanding that reserves heavyweight MLLM reasoning for suspicious events, improving efficiency.
ShallowStream builds streaming-video retrieval indexes from shallow MLLM layers, cutting per-frame prefill latency by up to 52.1x.
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