语言大模型 / LLM

Comparison of Large Language Models for Deployment Requirements

Alper Yaman, Jannik Schwab, Christof Nitsche, Abhirup Sinha, Marco Huber

机构 * Fraunhofer Institute for Manufacturing Engineering and Automation IPA（弗劳恩霍夫智能制造与自动化研究所） 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.CL

Journal ref Proceedings of the First International Conference on Generative Pre-trained Transformer Models and Beyond (GPTMB 2024), Porto, Portugal, Jun. 2024, pp. 41-44, ISBN: 978-1-68558-182-4

Quantum Knowledge Distillation for Large Language Models

Lingxiao Li, Yihao Wang, Jiacheng Fan, Jing Li, Sujuan Qin, Qiaoyan Wen, Fei Gao

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

Comments Preprint, under review

AILS-NTUA at SemEval-2025 Task 4: Parameter-Efficient Unlearning for Large Language Models using Data Chunking

Iraklis Premptis, Maria Lymperaiou, Giorgos Filandrianos, Orfeas Menis Mastromichalakis, Athanasios Voulodimos, Giorgos Stamou

机构 * National Technical University of Athens（希腊国家技术大学） 纠错

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

Journal ref The 19th International Workshop on Semantic Evaluation (SemEval 2025) - Best paper award

OneShield -- the Next Generation of LLM Guardrails

Chad DeLuca, Anna Lisa Gentile, Shubhi Asthana, Bing Zhang, Pawan Chowdhary, Kellen Cheng, Basel Shbita, Pengyuan Li, Guang-Jie Ren, Sandeep Gopisetty

机构 * IBM Research（IBM研究院） ； Princeton University（普林斯顿大学） 纠错

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

Quality-of-Service Aware LLM Routing for Edge Computing with Multiple Experts

Jin Yang, Qiong Wu, Zhiying Feng, Zhi Zhou, Deke Guo, Xu Chen

机构 * School of Computer Science and Engineering, Sun Yat-sen University（中山大学计算机科学与工程学院） ； Department of Computer Science and Engineering, The Hong Kong University of Science and Technology（香港科学与技术大学计算机科学与工程系） ； College of Systems Engineering, National University of Defense Technology（国防科技大学系统工程学院） 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

Comments Accepted by IEEE Transactions on Mobile Computing

AdaptiVocab: Enhancing LLM Efficiency in Focused Domains through Lightweight Vocabulary Adaptation

Itay Nakash, Nitay Calderon, Eyal Ben David, Elad Hoffer, Roi Reichart

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

Instruction-Grounded Visual Projectors for Continual Learning of Generative Vision-Language Models

Hyundong Jin, Hyung Jin Chang, Eunwoo Kim

机构 * School of Computer Science and Engineering, Chung-Ang University（Chung-Ang 大学计算机科学与工程学院） ； School of Computer Science, University of Birmingham（布拉德福德大学计算机科学学院） 纠错

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

Comments Accepted to ICCV 2025

Learning Like Humans: Resource-Efficient Federated Fine-Tuning through Cognitive Developmental Stages

Yebo Wu, Jingguang Li, Zhijiang Guo, Li Li

机构 * University of Macau（澳门大学） ； HKUST（香港科技大学） ； HKUST (Guangzhou)（香港科技大学（广州）） 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

Feather the Throttle: Revisiting Visual Token Pruning for Vision-Language Model Acceleration

Mark Endo, Xiaohan Wang, Serena Yeung-Levy

机构 * Stanford University（斯坦福大学） 纠错

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

Comments ICCV 2025, project page: https://web.stanford.edu/~markendo/projects/feather

CyGATE: Game-Theoretic Cyber Attack-Defense Engine for Patch Strategy Optimization

Yuning Jiang, Nay Oo, Qiaoran Meng, Lu Lin, Dusit Niyato, Zehui Xiong, Hoon Wei Lim, Biplab Sikdar

机构 * National University of Singapore（新加坡国立大学） ； Nanyang Technological University（南洋理工大学） ； Queen's University Belfast（女王大学贝尔法斯特分校） 纠错

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

Semantic Compression for Word and Sentence Embeddings using Discrete Wavelet Transform

Rana Aref Salama, Abdou Youssef, Mona Diab

机构 * School of Engineering and Applied Science, George Washington University（工程与应用科学学院，乔治华盛顿大学） ； Faculty of Computers and Artificial Intelligence, Cairo University（计算机与人工智能学院，开罗大学） ； Language Technologies Institute, Carnegie Mellon University（语言技术研究所，卡内基梅隆大学） 纠错

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

Journal ref https://aclanthology.org/2024.findings-acl.945/

How Quantization Impacts Privacy Risk on LLMs for Code?

Md Nazmul Haque, Hua Yang, Zhou Yang, Bowen Xu

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

R1-ACT: Efficient Reasoning Model Safety Alignment by Activating Safety Knowledge

Yeonjun In, Wonjoong Kim, Sangwu Park, Chanyoung Park

机构 * KAIST（韩国科学技术院） 纠错

专题命中 效率与部署 ：post-training(abstract)；分类 cs.CL、cs.AI

Comments under review

EMA Without the Lag: Bias-Corrected Iterate Averaging Schemes

Adam Block, Cyril Zhang

机构 * Columbia University（哥伦比亚大学） ； Microsoft Research NYC（微软研究院纽约） 纠错

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

GECO: Geometrically Consistent Embedding with Lightspeed Inference

Regine Hartwig, Dominik Muhle, Riccardo Marin, Daniel Cremers

机构 * TU Munich（慕尼黑技术大学） ； Munich Center for Machine Learning（慕尼黑机器学习中心） 纠错

专题命中 效率与部署 ：foundation model(abstract)