2 papers
cs.CV2026
LEMON: How Well Do MLLMs Perform Temporal Multimodal Understanding on Instructional Videos?
Zhuang Yu, Lei Shen, Jing Zhao +1
Recent multimodal large language models (MLLMs) have shown remarkable progress across vision, audio, and language tasks, yet their performance on long-form, knowledge-intensive, an…
cs.CL2025
Memory Reviving, Continuing Learning and Beyond: Evaluation of Pre-trained Encoders and Decoders for Multimodal Machine Translation
Zhuang Yu, Shiliang Sun, Jing Zhao +2
Multimodal Machine Translation (MMT) aims to improve translation quality by leveraging auxiliary modalities such as images alongside textual input. While recent advances in large-s…