2 papers
cs.CL2026
Less Redundancy: Boosting Practicality of Vision Language Model in Walking Assistants
Chongyang Li, Zhiqiang Yuan, Hanbo Bi +2
Approximately 283 million people worldwide live with visual impairments, motivating increasing research into leveraging Visual Language Models (VLMs) to develop effective walking a…
cs.CV2025
F2RVLM: Boosting Fine-grained Fragment Retrieval for Multi-Modal Long-form Dialogue with Vision Language Model
Hanbo Bi, Zhiqiang Yuan, Zexi Jia +6
Traditional dialogue retrieval aims to select the most appropriate utterance or image from recent dialogue history. However, they often fail to meet users' actual needs for revisit…