Video LLMs Miss Simple Event Counts, Trapped by Low‑Frequency Events
Even top‑tier video language models like Gemini 3.6 flash can’t reliably count simple, low‑frequency events such as visual blinks. A new trace‑grounded benchmark shows they succeed only on persistent, high‑frequency cues and collapse when event frequency drops, exposing a ‘low‑frequency trap’ that inflates aggregate scores without true temporal reasoning.