1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.LG2026
Unlabeled Data Can Provably Enhance In-Context Learning of Transformers
Renpu Liu, Jing Yang
Large language models (LLMs) exhibit impressive in-context learning (ICL) capabilities, yet the quality of their predictions is fundamentally limited by the few costly labeled demo…
cs.LG2025
A Shared Low-Rank Adaptation Approach to Personalized RLHF
Renpu Liu, Peng Wang, Donghao Li +2
Reinforcement Learning from Human Feedback (RLHF) has emerged as a pivotal technique for aligning artificial intelligence systems with human values, achieving remarkable success in…
cs.IT2021★ 1 cited
Timely Broadcasting in Erasure Networks: Age-Rate Tradeoffs
Xingran Chen, Renpu Liu, Shaochong Wang +1
The interplay between timeliness and rate efficiency is investigated in packet erasure broadcast channels with feedback. A scheduling framework is proposed in which coding actions,…