语言大模型 / LLM

A-MemGuard: A Proactive Defense Framework for LLM-Based Agent Memory

Qianshan Wei, Tengchao Yang, Yaochen Wang, Xinfeng Li, Lijun Li, Zhenfei Yin, Yi Zhan, Thorsten Holz, Zhiqiang Lin, XiaoFeng Wang

机构 * Nanyang Technological University（南洋理工大学） ； University of Oxford（牛津大学） ； Max Planck Institute（马克斯·普朗克研究所） ； The Ohio State University（俄亥俄州立大学） 纠错

专题命中 长上下文与记忆 ：LLM(title,abstract)；large language model(abstract)；language model(abstract)；分类 cs.AI

Pre-training Limited Memory Language Models with Internal and External Knowledge

Linxi Zhao, Sofian Zalouk, Christian K. Belardi, Justin Lovelace, Jin Peng Zhou, Ryan Thomas Noonan, Dongyoung Go, Kilian Q. Weinberger, Yoav Artzi, Jennifer J. Sun

机构 * Department of Computer Science Cornell University（计算机科学系 哥伦比亚大学） 纠错

专题命中 长上下文与记忆 ：language model(title,abstract)；分类 cs.CL、cs.AI、cs.LG

Comments Code, models, and data available at https://github.com/kilian-group/LMLM

Vibe coding: programming through conversation with artificial intelligence

Advait Sarkar, Ian Drosos

专题命中 长上下文与记忆 ：large language model(abstract)；language model(abstract)；prompting(abstract)

Comments Sarkar, A., & Drosos, I. (2025). Vibe coding: Programming through conversation with artificial intelligence. In Proceedings of the 36th Annual Conference of the Psychology of Programming Interest Group (PPIG 2025)

EntropyLong: Effective Long-Context Training via Predictive Uncertainty

Junlong Jia, Ziyang Chen, Xing Wu, Chaochen Gao, Zijia Lin, Debing Zhang, Songlin Hu, Binghui Guo

机构 * School of Artificial Intelligence, Beihang University（北京航空航天大学人工智能学院） ； Institute of Information Engineering, Chinese Academy of Sciences（中国科学院信息工程研究所） ； Tsinghua University（清华大学） 纠错

专题命中 长上下文与记忆 ：language model(abstract)；分类 cs.CL、cs.AI

Comments work in progress; Correspondence to: Xing Wu <wuxing@iie.ac.cn>