3 papers
cs.CV2026
MiMIC: Mitigating Visual Modality Collapse in Universal Multimodal Retrieval While Avoiding Semantic Misalignment
Juan Li, Chuanghao Ding, Xujie Zhang +1
Universal Multimodal Retrieval (UMR) aims to map different modalities (e.g., visual and textual) into a shared embedding space for multi-modal retrieval. Existing UMR methods can b…
cs.CL2025
Consultant Decoding: Yet Another Synergistic Mechanism
Chuanghao Ding, Jiaping Wang, Ziqing Yang +4
The synergistic mechanism based on Speculative Decoding (SD) has garnered considerable attention as a simple yet effective approach for accelerating the inference of large language…
cs.CV2024
SynthDoc: Bilingual Documents Synthesis for Visual Document Understanding
Chuanghao Ding, Xuejing Liu, Wei Tang +5
This paper introduces SynthDoc, a novel synthetic document generation pipeline designed to enhance Visual Document Understanding (VDU) by generating high-quality, diverse datasets…