语言大模型 / LLM

Towards Incremental Learning in Large Language Models: A Critical Review

Mladjan Jovanovic, Peter Voss

专题命中 效率与部署 ：large language model(title,abstract)；language model(title,abstract)；LLM(abstract)；分类 cs.CL、cs.AI、cs.LG

A Survey: Towards Privacy and Security in Mobile Large Language Models

Honghui Xu, Kaiyang Li, Wei Chen, Danyang Zheng, Zhiyuan Li, Zhipeng Cai

机构 * Department of Information Technology, Kennesaw State University（肯纳邦大学信息科技系） ； Department of Computer Science, Georgia State University（佐治亚州立大学计算机科学系） ； Nexa AI ； School of Computing and Artificial Intelligence, Southwest Jiaotong University（西南交通大学计算机与人工智能学院） 纠错

专题命中 效率与部署 ：large language model(title,abstract)；language model(title,abstract)；LLM(abstract)；分类 cs.AI

Distilling Large Language Models for Network Active Queue Management

Shiva Raj Pokhrel, Deol Satish, Jonathan Kua, Anwar Walid

机构 * School of IT, Deakin University（信息技术学院，德坎大学） ； Defense Unicorns and Columbia University（国防独角兽与哥伦比亚大学） 纠错

专题命中 效率与部署 ：large language model(title,abstract)；language model(title,abstract)；LLM(abstract)；分类 cs.AI

Journal ref IEEE Trans on Networking, 2025

Why Not Transform Chat Large Language Models to Non-English?

Xiang Geng, Ming Zhu, Jiahuan Li, Zhejian Lai, Wei Zou, Shuaijie She, Jiaxin Guo, Xiaofeng Zhao, Yinglu Li, Yuang Li, Chang Su, Yanqing Zhao, Xinglin Lyu, Min Zhang, Jiajun Chen, Hao Yang, Shujian Huang

机构 * National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China（新型软件技术国家重点实验室，南京大学，南京） ； Translation Services Center, Huawei Inc., Beijing 100085, China（翻译服务部，华为公司，北京） 纠错

专题命中 效率与部署 ：large language model(title,abstract)；language model(title,abstract)；LLM(abstract)；分类 cs.CL

Comments The article has been accepted by Frontiers of Computer Science (FCS), with the DOI: {10.1007/s11704-025-50646-z}

Upcycling Candidate Tokens of Large Language Models for Query Expansion

Jinseok Kim, Sukmin Cho, Soyeong Jeong, Sangyeop Kim, Sungzoon Cho

专题命中 效率与部署 ：large language model(title,abstract)；language model(title,abstract)；LLM(abstract)

Comments CIKM 2025

Fluid Antenna Port Prediction based on Large Language Models

Yali Zhang, Haifan Yin, Weidong Li, Emil Bjornson, Merouane Debbah

专题命中 效率与部署 ：large language model(title,abstract)；language model(title,abstract)；LLM(abstract)

Comments 6 pages, 4 figures, 1 table, To appear in IEEE Globecom 2025 SAC - MLCN

AMBEDKAR-A Multi-level Bias Elimination through a Decoding Approach with Knowledge Augmentation for Robust Constitutional Alignment of Language Models

Snehasis Mukhopadhyay, Aryan Kasat, Shivam Dubey, Rahul Karthikeyan, Dhruv Sood, Vinija Jain, Aman Chadha, Amitava Das

机构 * Indian Institute of Information Technology, Kalyani（印度信息技术学院，卡里尼） ； BITS Pilani Goa（比尔·斯图尔特学院，果阿） ； IIT Madras（马德拉斯理工学院） ； DTU（达丁理工大学） ； Artificial Intelligence Institute, University of South Carolina（南卡罗来纳大学人工智能研究所） ； Meta AI ； Amazon GenAI（亚马逊生成人工智能） 纠错

专题命中 效率与部署 ：language model(title,abstract)；LLM(abstract)；large language model(abstract)；small language model(abstract)

Efficient Detection of Toxic Prompts in Large Language Models

Yi Liu, Junzhe Yu, Huijia Sun, Ling Shi, Gelei Deng, Yuqi Chen, Yang Liu

机构 * Nanyang Technological University（南洋理工大学） ； ShanghaiTech University（上海科技大学） 纠错

专题命中 效率与部署 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.CL、cs.AI

Comments Accepted by the 39th IEEE/ACM International Conference on Automated Software Engineering (ASE 2024)

DiffKV: Differentiated Memory Management for Large Language Models with Parallel KV Compaction

Yanqi Zhang, Yuwei Hu, Runyuan Zhao, John C. S. Lui, Haibo Chen

机构 * Huawei（华为） ； The Chinese University of Hong Kong（香港中文大学） ； Shanghai Jiao Tong University（上海交通大学） 纠错

专题命中 效率与部署 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.LG

Comments SOSP 2025

Investigating Tax Evasion Emergence Using Dual Large Language Model and Deep Reinforcement Learning Powered Agent-based Simulation

Teddy Lazebnik, Labib Shami

专题命中 效率与部署 ：large language model(title,abstract)；language model(title,abstract)

Adaptively Robust LLM Inference Optimization under Prediction Uncertainty

Zixi Chen, Yinyu Ye, Zijie Zhou

机构 * Department of Mathematics, Peking University（北京大学数学系） ； Department of Management Science and Engineering, Stanford University（斯坦福大学管理科学与工程系） ； Department of Industrial Engineering and Decision Analytics, HKUST（香港科技大学工业工程与决策分析系） 纠错

专题命中 效率与部署 ：LLM(title,abstract)；large language model(abstract)；language model(abstract)；分类 cs.AI、cs.LG

APT-LLM: Exploiting Arbitrary-Precision Tensor Core Computing for LLM Acceleration

Shaobo Ma, Chao Fang, Haikuo Shao, Zhongfeng Wang

机构 * School of Electronic Science and Engineering, Nanjing University（南京大学电子科学与技术学院） ； Shanghai Qi Zhi Institute（上海启智研究院） ； School of Integrated Circuits, Sun Yat-sen University（中山大学集成电路学院） 纠错

专题命中 效率与部署 ：LLM(title,abstract)；large language model(abstract)；language model(abstract)；分类 cs.AI、cs.LG

Comments To appear in the IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD)

Enhancing Reliability in LLM-Integrated Robotic Systems: A Unified Approach to Security and Safety

Wenxiao Zhang, Xiangrui Kong, Conan Dewitt, Thomas Bräunl, Jin B. Hong

机构 * The University of Western Australia（西澳大学） 纠错

专题命中 效率与部署 ：LLM(title,abstract)；large language model(abstract)；language model(abstract)；分类 cs.AI

Clone What You Can't Steal: Black-Box LLM Replication via Logit Leakage and Distillation

Kanchon Gharami, Hansaka Aluvihare, Shafika Showkat Moni, Berker Peköz

机构 * Department of Electrical Engineering and Computer Science（电气工程与计算机科学系） ； Embry-Riddle Aeronautical University（埃姆布里-里德尔航空大学） ； Department of Mathematics（数学系） 纠错

专题命中 效率与部署 ：LLM(title,abstract)；large language model(abstract)；language model(abstract)；分类 cs.AI

Comments 8 pages. Accepted for publication in the proceedings of 7th IEEE International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications (IEEE TPS 2025)

LLM-Enhanced Space-Air-Ground-Sea Integrated Networks

Halvin Yang, Sangarapillai Lambotharan, Mahsa Derakhshani, Lajos Hanzo

专题命中 效率与部署 ：LLM(title,abstract)；large language model(abstract)；language model(abstract)

Comments 6 figures, 7 pages, magazine

Towards Fundamental Language Models: Does Linguistic Competence Scale with Model Size?

Jaime Collado-Montañez, L. Alfonso Ureña-López, Arturo Montejo-Ráez

机构 * Computer Science Department, University of Jaén（杰纳大学计算机科学系） 纠错

专题命中 效率与部署 ：language model(title,abstract)；large language model(abstract)；分类 cs.CL

Comments 13 pages, 2 figures

ProMoE: Fast MoE-based LLM Serving using Proactive Caching

Xiaoniu Song, Zihang Zhong, Rong Chen, Haibo Chen

机构 * Institute of Parallel and Distributed Systems, Shanghai Jiao Tong University（上海交通大学平行与分布式系统研究所） ； Key Laboratory of System Software (Chinese Academy of Sciences)（中国科学院系统软件重点实验室） ； Zhejiang University（浙江大学） 纠错

专题命中 效率与部署 ：LLM(title)；large language model(abstract)；language model(abstract)；分类 cs.AI

UrbanInsight: A Distributed Edge Computing Framework with LLM-Powered Data Filtering for Smart City Digital Twins

Kishor Datta Gupta, Md Manjurul Ahsan, Mohd Ariful Haque, Roy George, Azmine Toushik Wasi

专题命中 效率与部署 ：LLM(title)；large language model(abstract)；language model(abstract)；分类 cs.AI

KVComp: A High-Performance, LLM-Aware, Lossy Compression Framework for KV Cache

Bo Jiang, Taolue Yang, Youyuan Liu, Chengming Zhang, Xubin He, Sian Jin

机构 * Temple University（特伦特大学） ； University of Houston（休斯顿大学） 纠错

专题命中 效率与部署 ：LLM(title)；large language model(abstract)；language model(abstract)；分类 cs.AI

Does Acceleration Cause Hidden Instability in Vision Language Models? Uncovering Instance-Level Divergence Through a Large-Scale Empirical Study

Yizheng Sun, Hao Li, Chang Xu, Hongpeng Zhou, Chenghua Lin, Riza Batista-Navarro, Jingyuan Sun

机构 * University of Manchester（曼彻斯特大学） ； Microsoft Research（微软研究院） 纠错

专题命中 效率与部署 ：language model(title,abstract)；post-training(abstract)；分类 cs.CL

Comments Accepted to EMNLP 2025 Main Conference

LiquidGEMM: Hardware-Efficient W4A8 GEMM Kernel for High-Performance LLM Serving

Huanqi Hu, Bowen Xiao, Shixuan Sun, Jianian Yin, Zhexi Zhang, Xiang Luo, Chengquan Jiang, Weiqi Xu, Xiaoying Jia, Xin Liu, Minyi Guo

机构 * Shanghai Jiao Tong University（上海交通大学） 纠错

专题命中 效率与部署 ：LLM(title,abstract)；分类 cs.AI、cs.LG

Comments 12 pages, 13 figures

CoViPAL: Layer-wise Contextualized Visual Token Pruning for Large Vision-Language Models

Zicong Tang, Ziyang Ma, Suqing Wang, Zuchao Li, Lefei Zhang, Hai Zhao, Yun Li, Qianren Wang

机构 * School of Artificial Intelligence, Wuhan University（武汉大学人工智能学院） ； School of Computer Science, Wuhan University（武汉大学计算机学院） ； School of Computer Science, Shanghai Jiao Tong University（上海交通大学计算机学院） ； Cognitive AI Lab, Shanghai Huawei Technologies, China（上海华为技术有限公司认知人工智能实验室） 纠错

专题命中 效率与部署 ：language model(title,abstract)；分类 cs.CL、cs.AI

Comments Accepted by EMNLP 2025

Learning to Shard: RL for Co-optimizing the Parallelism Degrees and Per-operator Sharding Dimensions in Distributed LLM Inference

Ruokai Yin, Sattwik Deb Mishra, Xuan Zuo, Hokchhay Tann, Preyas Shah, Apala Guha

机构 * Yale University（耶鲁大学） ； Microsoft Azure（微软Azure） 纠错

专题命中 效率与部署 ：LLM(title,abstract)；分类 cs.LG

A versatile foundation model for cine cardiac magnetic resonance image analysis tasks

Yunguan Fu, Wenjia Bai, Weixi Yi, Charlotte Manisty, Anish N Bhuva, Thomas A Treibel, James C Moon, Matthew J Clarkson, Rhodri Huw Davies, Yipeng Hu

机构 * UCL Hawkes Institute, Department of Medical Physics and Biomedical Engineering, University College London（伦敦大学霍克斯研究所、医学物理与生物医学工程系、伦敦大学学院） ； InstaDeep ； Department of Computing, Imperial College London（伦敦帝国学院计算机系） ； Department of Brain Sciences, Imperial College London（伦敦帝国学院脑科学系） ； Institute of Cardiovascular Sciences, University College London（伦敦大学学院心血管科学研究所） ； Barts Heart Centre, Barts Health NHS Trust（巴特斯心脏中心、巴特斯健康 NHS信托） 纠错

专题命中 效率与部署 ：foundation model(title,abstract)；分类 cs.AI

DPF-CM: A Data Processing Framework with Privacy-Preserving Vector Databases for Chinese Medical LLMs Training and Deployment

Wei Huang, Anda Cheng, Zhao Zhang, Yinggui Wang

机构 * Ant Group（蚂蚁集团） 纠错

专题命中 效率与部署 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.AI、cs.LG

Comments Accepted by EMNLP 2025

Efficient Graph Understanding with LLMs via Structured Context Injection

Govind Waghmare, Sumedh BG, Sonia Gupta, Srikanta Bedathur

机构 * Indian Institute of Technology, Delhi（印度理工学院德里分校） 纠错

专题命中 效率与部署 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.AI、cs.LG

Improving Significant Wave Height Prediction Using Chronos Models

Yilin Zhai, Hongyuan Shi, Chao Zhan, Qing Wang, Zaijin You, Nan Wang

专题命中 效率与部署 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.AI、cs.LG

Comments arXiv admin note: text overlap with arXiv:2403.07815 by other authors

Journal ref Ocean Engineering, Volume 341, Part 2, 1 December 2025, Article 122502

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection

Chengyu Song, Jianming Zheng

专题命中 效率与部署 ：LLM(title,abstract)

AMMKD: Adaptive Multimodal Multi-teacher Distillation for Lightweight Vision-Language Models

Yuqi Li, Chuanguang Yang, Junhao Dong, Zhengtao Yao, Haoyan Xu, Zeyu Dong, Hansheng Zeng, Zhulin An, Yingli Tian

专题命中 效率与部署 ：language model(title)；pretraining(abstract)

Comments 9 pages

LP-Spec: Leveraging LPDDR PIM for Efficient LLM Mobile Speculative Inference with Architecture-Dataflow Co-Optimization

Siyuan He, Zhantong Zhu, Yandong He, Tianyu Jia

专题命中 效率与部署 ：LLM(title,abstract)

Comments Accepted by ICCAD'25