语言大模型 / LLM

TotalRegistrator: Towards a Lightweight Foundation Model for CT Image Registration

Xuan Loc Pham, Gwendolyn Vuurberg, Marjan Doppen, Joey Roosen, Tip Stille, Thi Quynh Ha, Thuy Duong Quach, Quoc Vu Dang, Manh Ha Luu, Ewoud J. Smit, Hong Son Mai, Mattias Heinrich, Bram van Ginneken, Mathias Prokop, Alessa Hering

机构 * Department of Imaging, Radboudumc, Nijmegen, the Netherlands（影像部，Radboudumc，尼姆egen，荷兰） ； Institute for Medical Informatics, University of Lübeck, Lübeck, Germany（医学信息研究所，吕贝克大学，吕贝克，德国） ； Department of Nuclear Medicine, Hospital 108, Hanoi, Vietnam（核医学部，108医院，河内，越南） ； Department of Diagnostic Imaging and Interventional Radiology, Thai Nguyen National Hospital, Thai Nguyen, Vietnam（诊断影像和介入放射科，Thai Nguyen国家医院，Thai Nguyen，越南） ； Interventional Radiology Center, Tam Anh Hospital, Hanoi, Vietnam（介入放射科中心，Tam Anh医院，河内，越南） ； FET, Vietnam National University, University of Engineering and Technology, Hanoi, Vietnam（FET，越南国家大学，工程与技术大学，河内，越南） 纠错

专题命中 长上下文与记忆 ：foundation model(title,abstract)

KVSink: Understanding and Enhancing the Preservation of Attention Sinks in KV Cache Quantization for LLMs

Zunhai Su, Kehong Yuan

机构 * Shenzhen International Graduate School, Tsinghua University（清华大学深圳国际研究生院） 纠错

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

Comments Published as a conference paper at COLM 2025

Analyzing Prominent LLMs: An Empirical Study of Performance and Complexity in Solving LeetCode Problems

Everton Guimaraes, Nathalia Nascimento, Chandan Shivalingaiah, Asish Nelapati

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

Comments 11 pages, 13 figures, 29th International Conference on Evaluation and Assessment in Software Engineering (EASE)

Open Scene Graphs for Open-World Object-Goal Navigation

Joel Loo, Zhanxin Wu, David Hsu

机构 * Smart Systems Institute, National University of Singapore（新加坡国立大学智能系统研究所） ； College of Computing and Information Science, Cornell University（康奈尔大学计算机与信息科学学院） 纠错

专题命中 长上下文与记忆 ：foundation model(abstract,comments)

Comments In IJRR Special Issue: Foundation Models and Neuro-symbolic AI for Robotics. Journal extension to arXiv:2407.02473