MINED: Probing and Updating with Multimodal Time-Sensitive Knowledge for Large Multimodal Models

The introduction of MINED, a new benchmark for Large Multimodal Models (LMMs), is a significant advancement in evaluating how these models handle time-sensitive knowledge. Traditional benchmarks have fallen short in assessing this crucial aspect, which is vital for applications that rely on up-to-date information. MINED aims to fill this gap, ensuring that LMMs can better understand and process temporal data, ultimately enhancing their performance in real-world scenarios. This development is important as it pushes the boundaries of AI capabilities, making systems smarter and more responsive to changing information.