3 papers
cs.CV2026
Exploring the Use of VLMs for Navigation Assistance for People with Blindness and Low Vision
Yu Li, Yuchen Zheng, Giles Hamilton-Fletcher +6
This paper investigates the potential of vision-language models (VLMs) to assist people with blindness and low vision (pBLV) in navigation tasks. We evaluate state-of-the-art close…
cs.CL2024
LIONs: An Empirically Optimized Approach to Align Language Models
Xiao Yu, Qingyang Wu, Yu Li +1
Alignment is a crucial step to enhance the instruction-following and conversational abilities of language models. Despite many recent work proposing new algorithms, datasets, and t…
cs.CL2023
Curriculum-Driven Edubot: A Framework for Developing Language Learning Chatbots Through Synthesizing Conversational Data
Yu Li, Shang Qu, Jili Shen +2
Chatbots have become popular in educational settings, revolutionizing how students interact with material and how teachers teach. We present Curriculum-Driven EduBot, a framework f…