1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.AI2025
Towards Evaluation for Real-World LLM Unlearning
Ke Miao, Yuke Hu, Xiaochen Li +4
This paper analyzes the limitations of existing unlearning evaluation metrics in terms of practicality, exactness, and robustness in real-world LLM unlearning scenarios. To overcom…
cs.IR2023★ 1 cited
Knowledge Prompt-tuning for Sequential Recommendation
Jianyang Zhai, Xiawu Zheng, Chang-Dong Wang +2
Pre-trained language models (PLMs) have demonstrated strong performance in sequential recommendation (SR), which are utilized to extract general knowledge. However, existing method…
cs.SE2023
RefBERT: A Two-Stage Pre-trained Framework for Automatic Rename Refactoring
Hao Liu, Yanlin Wang, Zhao Wei +4
Refactoring is an indispensable practice of improving the quality and maintainability of source code in software evolution. Rename refactoring is the most frequently performed refa…