Kailin Jiang

When Large Multimodal Models Confront Evolving Knowledge: Challenges and Explorations

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

Can visual input Be Compressed? A visual input token compression benchmark for large multimodal models

KORE: Enhancing Knowledge Injection for Large Multimodal Models via Knowledge-Oriented Augmentations and Constraints

In-Context Editing: Learning Knowledge from Self-Induced Distributions

MMKE-Bench: A Multimodal Editing Benchmark for Diverse Visual Knowledge