3 papers
cs.CL2026
Beyond Static Models: An Evolving Framework for Continual Learning in Large Language Models across Training Stages
Hongyang Chen, Zhongwu Sun, Hongfei Ye +2
Continual learning (CL) has emerged as a pivotal paradigm to enable large language models (LLMs) to dynamically adapt to evolving knowledge and sequential tasks while mitigating ca…
cs.CV2025
Assessing Color Vision Test in Large Vision-language Models
Hongfei Ye, Bin Chen, Wenxi Liu +4
With the widespread adoption of large vision-language models, the capacity for color vision in these models is crucial. However, the color vision abilities of large visual-language…
cs.CL2025
Knowledge-Decoupled Synergetic Learning: An MLLM based Collaborative Approach to Few-shot Multimodal Dialogue Intention Recognition
Bin Chen, Yu Zhang, Hongfei Ye +2
Few-shot multimodal dialogue intention recognition is a critical challenge in the e-commerce domainn. Previous methods have primarily enhanced model classification capabilities thr…