16 citations · 17 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Nemesis: Normalizing the Soft-prompt Vectors of Vision-Language Models
Shuai Fu, Xiequn Wang, Qiushi Huang +1
With the prevalence of large-scale pretrained vision-language models (VLMs), such as CLIP, soft-prompt tuning has become a popular method for adapting these models to various downs…
cs.CL2024★ 16 cited
Learning Retrieval Augmentation for Personalized Dialogue Generation
Qiushi Huang, Shuai Fu, Xubo Liu +4
Personalized dialogue generation, focusing on generating highly tailored responses by leveraging persona profiles and dialogue context, has gained significant attention in conversa…
cs.CL2024★ 1 cited
Selective Prompting Tuning for Personalized Conversations with LLMs
Qiushi Huang, Xubo Liu, Tom Ko +4
In conversational AI, personalizing dialogues with persona profiles and contextual understanding is essential. Despite large language models' (LLMs) improved response coherence, ef…