6 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CR2025
Invariant-based Robust Weights Watermark for Large Language Models
Qingxiao Guo, Xinjie Zhu, Yilong Ma +4
Watermarking technology has gained significant attention due to the increasing importance of intellectual property (IP) rights, particularly with the growing deployment of large la…
cs.LG2025
C-LoRA: Contextual Low-Rank Adaptation for Uncertainty Estimation in Large Language Models
Amir Hossein Rahmati, Sanket Jantre, Weifeng Zhang +4
Low-Rank Adaptation (LoRA) offers a cost-effective solution for fine-tuning large language models (LLMs), but it often produces overconfident predictions in data-scarce few-shot se…
cs.AR2023★ 6 cited
Challenges and Opportunities to Enable Large-Scale Computing via Heterogeneous Chiplets
Zhuoping Yang, Shixin Ji, Xingzhen Chen +4
Fast-evolving artificial intelligence (AI) algorithms such as large language models have been driving the ever-increasing computing demands in today's data centers. Heterogeneous c…