大模型对齐与安全

Rethinking Text-based Protein Understanding: Retrieval or LLM?

Juntong Wu, Zijing Liu, He Cao, Hao Li, Bin Feng, Zishan Shu, Ke Yu, Li Yuan, Yu Li

机构 * Peking University, Shenzhen Graduate School（北京大学深圳研究生院） ； International Digital Economy Academy (IDEA)（国际数字经济学院） 纠错

专题命中 隐私与版权 ：alignment(abstract)；分类 cs.CL、cs.AI

Comments Accepted by Empirical Methods in Natural Language Processing 2025 (EMNLP 2025) Main Conference

Retracing the Past: LLMs Emit Training Data When They Get Lost

Myeongseob Ko, Nikhil Reddy Billa, Adam Nguyen, Charles Fleming, Ming Jin, Ruoxi Jia

机构 * Virginia Tech（弗吉尼亚理工大学） ； Cisco Research（思科研究） 纠错

专题命中 隐私与版权 ：alignment(abstract)；分类 cs.CL、cs.AI

Comments The 2025 Conference on Empirical Methods in Natural Language Processing

EcoLoRA: Communication-Efficient Federated Fine-Tuning of Large Language Models

Han Liu, Ruoyao Wen, Srijith Nair, Jia Liu, Wenjing Lou, Chongjie Zhang, William Yeoh, Yevgeniy Vorobeychik, Ning Zhang

专题命中 隐私与版权 ：alignment(abstract)