Researchers have developed a new benchmark called OVIBench to evaluate how well artificial intelligence models can answer questions about online videos when the user interrupts them. The benchmark simulates realistic interactions where users may cancel or correct the model's responses. It includes three types of interruptions: cancellation, false trigger, and correction. The researchers also created a dataset for fine-tuning models to handle interruptions effectively. --- Why it matters: This matters because many AI models are still not designed to handle real-world interactions like interruptions, which can make them less useful in practical applications. OVIBench provides a standardized way to evaluate these models' ability to adapt to changing user input. Source: https://arxiv.org/abs/2608.22279