3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.AI2026
Personalization Meets Safety:Mechanisms,Risks,and Mitigations in Personalized LLMs
Yanyan Luo, Xue Han, Ruiqiao Bai +10
Large Language Models (LLMs) have enabled increasingly personalized interactions by adapting to users' preferences, contexts, and long-term histories. However, the mechanisms that…
cs.CL2025
MultiPL-MoE: Multi-Programming-Lingual Extension of Large Language Models through Hybrid Mixture-of-Experts
Qing Wang, Xue Han, Jiahui Wang +5
Despite LLMs' excellent code creation capabilities, multilingual code generation remains extremely challenging. To address this, we intent to improve the multi-programming-lingual…
cs.CV2022★ 3 cited
Learning to Compose Diversified Prompts for Image Emotion Classification
Sinuo Deng, Lifang Wu, Ge Shi +3
Contrastive Language-Image Pre-training (CLIP) represents the latest incarnation of pre-trained vision-language models. Although CLIP has recently shown its superior power on a wid…