6 citations · 7 across the 7 of their papers we have counts for
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cs.CV2025
Global Prompt Refinement with Non-Interfering Attention Masking for One-Shot Federated Learning
Zhuang Qi, Pan Yu, Lei Meng +4
Federated Prompt Learning (FPL) enables communication-efficient adaptation by tuning lightweight prompts on top of frozen pre-trained models. Existing FPL methods typically rely on…
cs.SE2025
Online-Optimized RAG for Tool Use and Function Calling
Yu Pan, Xiaocheng Li, Hanzhao Wang
In many applications, retrieval-augmented generation (RAG) drives tool use and function calling by embedding the (user) queries and matching them to pre-specified tool/function des…
cs.LG2025★ 1 cited
What Matters in Data for DPO?
Yu Pan, Zhongze Cai, Guanting Chen +2
Direct Preference Optimization (DPO) has emerged as a simple and effective approach for aligning large language models (LLMs) with human preferences, bypassing the need for a learn…