语言大模型 / LLM

Learning to Parallel: Accelerating Diffusion Large Language Models via Learnable Parallel Decoding

Wenrui Bao, Zhiben Chen, Dan Xu, Yuzhang Shang

机构 * University of Central Florida（中央佛罗里达大学） ； HKUST（香港科技大学） 纠错

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

Microscaling Floating Point Formats for Large Language Models

Marco Cococcioni, Dario Pagani, Federico Rossi

机构 * University of Pisa, Department of Information Engineering（比萨大学信息工程学院） 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.LG

Go With The Flow: Churn-Tolerant Decentralized Training of Large Language Models

Nikolay Blagoev, Bart Cox, Jérémie Decouchant, Lydia Y. Chen

机构 * Worker Thread ； Université de Neuchâtel（Neuchâtel大学） ； Delft University of Technology（代尔夫特理工大学） 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.LG

Efficient Tuning of Large Language Models for Knowledge-Grounded Dialogue Generation

Bo Zhang, Hui Ma, Dailin Li, Jian Ding, Jian Wang, Bo Xu, HongFei Lin

机构 * Dalian University of Technology, China（大连理工大学） 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.CL

Comments Accepted at TACL; pre-MIT Press publication version. Code and data are available at https://github.com/zhangbo-nlp/KEDiT

Experience Scaling: Post-Deployment Evolution For Large Language Models

Xingkun Yin, Kaibin Huang, Dong In Kim, Hongyang Du

机构 * Department of Electrical and Electronic Engineering, University of Hong Kong（香港大学电子与电气工程系） ； Department of Electrical and Computer Engineering, Sungkyunkwan University（成均馆大学电子与计算机工程系） 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

OpenOmni: Advancing Open-Source Omnimodal Large Language Models with Progressive Multimodal Alignment and Real-Time Self-Aware Emotional Speech Synthesis

Run Luo, Ting-En Lin, Haonan Zhang, Yuchuan Wu, Xiong Liu, Min Yang, Yongbin Li, Longze Chen, Jiaming Li, Lei Zhang, Xiaobo Xia, Hamid Alinejad-Rokny, Fei Huang

机构 * Shenzhen Key Laboratory for High Performance Data Mining（深圳高性能数据挖掘重点实验室） ； Shenzhen Institute of Advanced Technology（深圳先进技术研究院） ； Chinese Academy of Sciences（中国科学院） ； University of Chinese Academy of Sciences（中国科学院大学） ； Tongyi Laboratory（通义实验室） ； University of New South Wales（新南威尔士大学） ； National University of Singapore（新加坡国立大学） ； University of Science and Technology of China（中国科学技术大学） ； MoE Key Laboratory of Brain-inspired Intelligent Perception and Cognition（脑启发智能感知与认知重点实验室） 纠错

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

GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance

Jinuk Kim, Marwa El Halabi, Wonpyo Park, Clemens JS Schaefer, Deokjae Lee, Yeonhong Park, Jae W. Lee, Hyun Oh Song

机构 * Department of XXX, University of YYY, Location, Country ； School of ZZZ, Institute of WWW, Location, Country ； Department of Computer Science ； Engineering, Seoul National University ； Neural Processing Research Center ； Samsung AI Lab, Montreal ； Google 纠错

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

Comments ICML 2025

L-MTP: Leap Multi-Token Prediction Beyond Adjacent Context for Large Language Models

Xiaohao Liu, Xiaobo Xia, Weixiang Zhao, Manyi Zhang, Xianzhi Yu, Xiu Su, Shuo Yang, See-Kiong Ng, Tat-Seng Chua

机构 * National University of Singapore（新加坡国立大学） ； Harbin Institute of Technology（哈尔滨工业大学） ； Tsinghua University（清华大学） ； Chinese Academy of Sciences（中国科学院） ； Central South University（中南大学） 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.CL

Comments Accepted by NeurIPS 2025. Codes are available at https://github.com/Xiaohao-Liu/L-MTP

LEO-MINI: An Efficient Multimodal Large Language Model using Conditional Token Reduction and Mixture of Multi-Modal Experts

Yimu Wang, Mozhgan Nasr Azadani, Sean Sedwards, Krzysztof Czarnecki

机构 * University of Waterloo（滑铁卢大学） 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.CL

Comments To appear at EMNLP 2025

TranSQL+: Serving Large Language Models with SQL on Low-Resource Hardware

Wenbo Sun, Qiming Guo, Wenlu Wang, Rihan Hai

机构 * Delft University of Technology（代尔夫特理工大学） ； Texas A\&M University - Corpus Christi（德克萨斯A&M大学-科罗萨尔） 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.LG

Comments Accepted by SIGMOD2026

Large Language Model-Empowered Decision Transformer for UAV-Enabled Data Collection

Zhixion Chen, Jiangzhou Wang, Hyundong Shin, Arumugam Nallanathan

机构 * School of Electronic Engineering and Computer Science, Queen Mary University of London（伦敦女王学院电子工程与计算机科学学院） ； National Mobile Communications Research Laboratory, Southeast University（东南大学国家移动通信研究中心） ； Department of Electronics and Information Convergence Engineering, Kyung Hee University（韩国庆熙大学电子与信息融合工程系） 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.LG

Comments 14pages, 8 figures

CredID: Credible Multi-Bit Watermark for Large Language Models Identification

Haoyu Jiang, Xuhong Wang, Ping Yi, Shanzhe Lei, Yilun Lin

机构 * School of Cyber Science and Engineering, Shanghai Jiao Tong University（上海交通大学计算机科学与工程学院） ； Shanghai Artificial Intelligence Laboratory（上海人工智能实验室） 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

Comments v2

Pimba: A Processing-in-Memory Acceleration for Post-Transformer Large Language Model Serving

Wonung Kim, Yubin Lee, Yoonsung Kim, Jinwoo Hwang, Seongryong Oh, Jiyong Jung, Aziz Huseynov, Woong Gyu Park, Chang Hyun Park, Divya Mahajan, Jongse Park

机构 * Uppsala University（乌普萨拉大学） ； Georgia Institute of Technology（佐治亚理工学院） 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.LG

Journal ref MICRO 2025

ENSI: Efficient Non-Interactive Secure Inference for Large Language Models

Zhiyu He, Maojiang Wang, Xinwen Gao, Yuchuan Luo, Lin Liu, Shaojing Fu

机构 * College of Computer Science and Technology（计算机科学与技术学院） ； National University of Defense Technology（国防科技大学） 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

KROMA: Ontology Matching with Knowledge Retrieval and Large Language Models

Lam Nguyen, Erika Barcelos, Roger French, Yinghui Wu

机构 * Case Western Reserve University（凯斯西储大学） 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

Comments Accepted to the 24th International Semantic Web Conference Research Track (ISWC 2025)

Benchmarking Energy Efficiency of Large Language Models Using vLLM

K. Pronk, Q. Zhao

机构 * Allumni Master Applied IT Fontys University of Applied Sciences Eindhoven, The Netherlands ； Sustainable Data \& AI Group Fontys University of Applied Sciences Eindhoven, The Netherlands 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

Comments 6 pages, 6 figures

Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks

Ikhlasse Badidi, Nouhaila El Khiyaoui, Aya Riany, Badr Ben Elallid, Amine Abouaomar

机构 * School of Science and Engineering, Al Akhawayn University in Ifrane（科学与工程学院，阿尔阿赫韦因大学） ； Department of Electrical and Computer Engineering, Université du Québec à Trois-Rivières（电气与计算机工程系，魁北克大学Trois-Rivières分校） 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.LG

Comments 7 pages, 6 figures, 1 algorithm, 5 equations

PagedEviction: Structured Block-wise KV Cache Pruning for Efficient Large Language Model Inference

Krishna Teja Chitty-Venkata, Jie Ye, Xian-He Sun, Anthony Kougkas, Murali Emani, Venkatram Vishwanath, Bogdan Nicolae

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

Comments Preprint

IC-Cache: Efficient Large Language Model Serving via In-context Caching

Yifan Yu, Yu Gan, Nikhil Sarda, Lillian Tsai, Jiaming Shen, Yanqi Zhou, Arvind Krishnamurthy, Fan Lai, Henry M. Levy, David Culler

机构 * University of Illinois Urbana-Champaign ； Google ； Google \& University of Washington 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.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}

EconAgentic in DePIN Markets: A Large Language Model Approach to the Sharing Economy of Decentralized Physical Infrastructure

Yulin Liu, Mocca Schweitzer

机构 * Quantum Economics Zug Switzerland（量子经济学研究所） 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

GDLLM: A Global Distance-aware Modeling Approach Based on Large Language Models for Event Temporal Relation Extraction

Jie Zhao, Wanting Ning, Yuxiao Fei, Yubo Feng, Lishuang Li

机构 * School of Computer Science and Technology, Dalian University of Technology, China（大连理工大学计算机科学与技术学院） ； Luddy School of Informatics, Computing, and Engineering, Indiana University Indianapolis, the United States（印第安纳大学印第安纳波利斯分校信息学院） 纠错

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

Comments Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP Findings)

Large Language Model-Based Framework for Explainable Cyberattack Detection in Automatic Generation Control Systems

Muhammad Sharshar, Ahmad Mohammad Saber, Davor Svetinovic, Amr M. Youssef, Deepa Kundur, Ehab F. El-Saadany

机构 * Department of Computer Science, College of Computing and Mathematical Sciences, Khalifa University（计算机科学系，计算与数学科学学院，哈利法大学） ； ECE Department, University of Toronto（电子工程系，多伦多大学） ； Concordia Institute for Information Systems Engineering (CIISE), Concordia University（信息系统工程研究所（CIISE），康科迪亚大学） ； Department of Electrical Engineering, College of Engineering and Physical Sciences, Khalifa University（电气工程系，工程与物理科学学院，哈利法大学） 纠错

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

Comments Accepted Paper

Routing Distilled Knowledge via Mixture of LoRA Experts for Large Language Model based Bundle Generation

Kaidong Feng, Zhu Sun, Hui Fang, Jie Yang, Wenyuan Liu, Yew-Soon Ong

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

Do Large Language Model Agents Exhibit a Survival Instinct? An Empirical Study in a Sugarscape-Style Simulation

Atsushi Masumori, Takashi Ikegami

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

MetaAgents: Large Language Model Based Agents for Decision-Making on Teaming

Yuan Li, Lichao Sun, Yixuan Zhang

机构 * University of Cambridge（剑桥大学） ； Lehigh University（莱斯利大学） 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

Energy-Aware Code Generation with LLMs: Benchmarking Small vs. Large Language Models for Sustainable AI Programming

Humza Ashraf, Syed Muhammad Danish, Aris Leivadeas, Yazan Otoum, Zeeshan Sattar

机构 * Algoma University（阿尔戈马大学） ； École de Technologie Supérieure (ÉTS)（高等技术学院） ； Ericsson Inc.（爱立信公司） 纠错

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

\(X\)-evolve: Solution space evolution powered by large language models

Yi Zhai, Zhiqiang Wei, Ruohan Li, Keyu Pan, Shuo Liu, Lu Zhang, Jianmin Ji, Wuyang Zhang, Yu Zhang, Yanyong Zhang

机构 * University of Science and Technology of China（中国科学技术大学） ； ByteDance Ltd.（字节跳动有限公司） ； Institute of Artificial Intelligence（人工智能研究院） ； Hefei Comprehensive National Science Center（合肥综合性国家科学中心） 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