Papers by Jingfan Yang

1 papers
SCOPE: Preserving Modality-Specific Cues to Mitigate Modality Laziness in Multimodal Learning (2026.findings-acl)

Copied to clipboard

Challenge: Existing approaches to learning multimodal representations emphasize shared semantics and overlook modality-specific cues.
Approach: They propose a framework for learning complete multimodal representations using shared and practical cues.
Outcome: SCOPE outperforms SOTA benchmarks on four datasets and achieves 27.10% accuracy improvement.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations