Boyu Guan — accepted AI-conference papers

2025

SHIFT: Selected Helpful Informative Frame for Video-guided Machine Translation

Boyu Guan, Chuang Han, Yining Zhang, Yupu Liang, Zhiyang Zhang, Yang Zhao +1

EMNLP 2025

Video-guided Machine Translation (VMT) aims to improve translation quality by integrating contextual information from paired short video clips. Mainstream VMT approaches typically incorporate multimodal information by uniformly sampling frames from the input videos. However, this paradigm frequently

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗

2025

TriFine: A Large-Scale Dataset of Vision-Audio-Subtitle for Tri-Modal Machine Translation and Benchmark with Fine-Grained Annotated Tags

Boyu Guan, Yining Zhang, Yang Zhao, Chengqing Zong

COLING 2025main

Current video-guided machine translation (VMT) approaches primarily use coarse-grained visual information, resulting in information redundancy, high computational overhead, and neglect of audio content. Our research demonstrates the significance of fine-grained visual and audio information in VMT fr…

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗