语言大模型 / LLM

Continually Learn to Map Visual Concepts to Large Language Models in Resource-constrained Environments

Clea Rebillard, Julio Hurtado, Andrii Krutsylo, Lucia Passaro, Vincenzo Lomonaco

机构 * Bordeaux INP - ENSEIRB-MATMECA（波尔多 INP - ENSEIRB-MATMECA） ； CAMaCS, University of Warwick（Warwick 大学 CAMaCS 实验室） ； Institute of Computer Science Polish Academy of Sciences（波兰科学院计算机科学研究所） ； University of Pisa（比萨大学） 纠错

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

Weak-to-Strong Jailbreaking on Large Language Models

Xuandong Zhao, Xianjun Yang, Tianyu Pang, Chao Du, Lei Li, Yu-Xiang Wang, William Yang Wang

机构 * Sea AI Lab, Singapore（新加坡海智实验室） ； Carnegie Mellon University（卡内基梅隆大学） 纠错

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

Comments ICML 2025

Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models

Zheyuan Liu, Guangyao Dou, Xiangchi Yuan, Chunhui Zhang, Zhaoxuan Tan, Meng Jiang

机构 * University of Notre Dame（诺丁汉大学） ； University of Pennsylvania（宾夕法尼亚大学） ； Georgia Institute of Technology（佐治亚理工学院） ； Dartmouth College（达特茅斯学院） 纠错

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

Comments ACL 2025 Main Conference

A Collaborative Framework Integrating Large Language Model and Chemical Fragment Space: Mutual Inspiration for Lead Design

Hao Tuo, Yan Li, Xuanning Hu, Haishi Zhao, Xueyan Liu, Bo Yang

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

Continuously Updating Digital Twins using Large Language Models

Harry Amad, Nicolás Astorga, Mihaela van der Schaar

机构 * Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, United Kingdom（应用数学与理论物理系，剑桥大学，剑桥，英国） 纠错

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

MLAR: Multi-layer Large Language Model-based Robotic Process Automation Applicant Tracking

Mohamed T. Younes, Omar Walid, Mai Hassan, Ali Hamdi

机构 * Computer Science Dept. MSA University（计算机科学系MSA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

Invariant-based Robust Weights Watermark for Large Language Models

Qingxiao Guo, Xinjie Zhu, Yilong Ma, Hui Jin, Yunhao Wang, Weifeng Zhang, Xiaobing Guo

机构 * Lenovo Research（联想研究院） 纠错

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

TopoMAS: Large Language Model Driven Topological Materials Multiagent System

Baohua Zhang, Xin Li, Huangchao Xu, Zhong Jin, Quansheng Wu, Ce Li

机构 * Computer Newwork Information Center,Chinese Academy of Sciences（中国科学院计算机网络信息中心） ； China University of Mining & Technology-Beijing（中国矿业大学（北京）） 纠错

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

Comments 13 pages,7 figures,3 tables

FlashDP: Private Training Large Language Models with Efficient DP-SGD

Liangyu Wang, Junxiao Wang, Jie Ren, Zihang Xiang, David E. Keyes, Di Wang

机构 * King Abdullah University of Science and Technology（卡布斯大学） 纠错

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

MassTool: A Multi-Task Search-Based Tool Retrieval Framework for Large Language Models

Jianghao Lin, Xinyuan Wang, Xinyi Dai, Menghui Zhu, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang

机构 * Shanghai Jiao Tong University（上海交通大学） ； Huawei Noah’s Ark Lab（华为诺亚实验室） 纠错

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

Efficient Split Federated Learning for Large Language Models over Communication Networks

Kai Zhao, Zhaohui Yang, Ye Hu, Mingzhe Chen, Chen Zhu, Zhaoyang Zhang

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

Guaranteed Generation from Large Language Models

Minbeom Kim, Thibaut Thonet, Jos Rozen, Hwaran Lee, Kyomin Jung, Marc Dymetman

机构 * Seoul National University（首尔国立大学） ； NAVER Labs Europe（NAVER欧洲实验室） ； NAVER AI Lab（NAVER人工智能实验室） ； Sogang University（成均馆大学） 纠错

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

Comments ICLR 2025

Infinite Sampling: Efficient and Stable Grouped RL Training for Large Language Models

Liangyu Wang, Huanyi Xie, Xinhai Wang, Tianjin Huang, Mengdi Li, Di Wang

机构 * King Abdullah University of Science and Technology（卡塔尔国王科技大学） ； University of Exeter（埃克塞特大学） ； University of Exeter UK（埃克塞特大学） 纠错

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

A Large Language Model-Enabled Control Architecture for Dynamic Resource Capability Exploration in Multi-Agent Manufacturing Systems

Jonghan Lim, Ilya Kovalenko

机构 * Department of Industrial and Manufacturing, Pennsylvania State University（工业与制造系，宾夕法尼亚州立大学） 纠错

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

Innovative Research on IoT Architecture and Robotic Operating Platforms: Applications of Large Language Models and Generative AI

Huiwen Han

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

Comments Published in: 2024 6th International Conference on Robotics, Intelligent Control and Artificial Intelligence (RICAI), IEEE Xplore, DOI: 10.1109/RICAI64321.2024.10911316. \c{opyright} 2024 IEEE

Journal ref 2024 6th International Conference on Robotics, Intelligent Control and Artificial Intelligence (RICAI), 2024, IEEE Xplore, pp. 881-886

GradualDiff-Fed: A Federated Learning Specialized Framework for Large Language Model

Amir Faiyaz, Tara Salman

机构 * Department of Computer Science Texas Tech University Texas, USA（计算机科学系德克萨斯科技大学美国德克萨斯） 纠错

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

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems

Haowei Yang, Yu Tian, Zhongheng Yang, Zhao Wang, Chengrui Zhou, Dannier Li

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

Enhancing Document Retrieval in COVID-19 Research: Leveraging Large Language Models for Hidden Relation Extraction

Hoang-An Trieu, Dinh-Truong Do, Chau Nguyen, Vu Tran, Minh Le Nguyen

机构 * Japan Advanced Institute of Science and Technology（日本先进科学研究所） ； The Institute of Statistical Mathematics（统计数学研究所） 纠错

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

Comments In the Proceedings of SCIDOCA 2024

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models

Huaiying Luo, Cheng Ji

机构 * College of Computing and Information Science（计算与信息科学学院） ； Siebel School of Computing and Data Science（计算与数据科学学院） ； Cornell University（康奈尔大学） ； University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） ； New York, USA（美国纽约） ； Champaign, Illinois, USA（美国伊利诺伊州香槟） 纠错

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

Comments Accepted by the 2025 5th International Symposium on Computer Technology and Information Science (ISCTIS 2025)

Unifying Uniform and Binary-coding Quantization for Accurate Compression of Large Language Models

Seungcheol Park, Jeongin Bae, Beomseok Kwon, Minjun Kim, Byeongwook Kim, Se Jung Kwon, U Kang, Dongsoo Lee

机构 * Seoul National University（首尔国立大学） ； NAVER Cloud（NAVER云） 纠错

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

Comments ACL 2025 Main Track

Retrieval-augmented code completion for local projects using large language models

Marko Hostnik, Marko Robnik-Šikonja

机构 * Faculty of Computer and Information Science, University of Ljubljana（计算机与信息科学学院，卢布尔雅那大学） ； Faculty of Mathematics and Physics, University of Ljubljana（数学与物理学院，卢布尔雅那大学） 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 30 pages, 15 figures; Accepted manuscript for Expert Systems with Applications

Inference-Time Decomposition of Activations (ITDA): A Scalable Approach to Interpreting Large Language Models

Patrick Leask, Neel Nanda, Noura Al Moubayed

机构 * Department of Computer Science, Durham University（杜伦大学计算机科学系） 纠错

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

Comments ICML 2025

Exploring the Impact of Temperature on Large Language Models:Hot or Cold?

Lujun Li, Lama Sleem, Niccolo' Gentile, Geoffrey Nichil, Radu State

机构 * University of Luxembourg（卢森堡大学） 纠错

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

Dual-Priv Pruning : Efficient Differential Private Fine-Tuning in Multimodal Large Language Models

Qianshan Wei, Jiaqi Li, Zihan You, Yi Zhan, Kecen Li, Jialin Wu, Xinfeng Li Hengjun Liu, Yi Yu, Bin Cao, Yiwen Xu, Yang Liu, Guilin Qi

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

Accurate Sublayer Pruning for Large Language Models by Exploiting Latency and Tunability Information

Seungcheol Park, Sojin Lee, Jongjin Kim, Jinsik Lee, Hyunjik Jo, U Kang

机构 * Seoul National University（首尔国立大学） ； LG AI Research（LG AI研究院） 纠错

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

Comments IJCAI 2025 Main Track

Revealing the Parallel Multilingual Learning within Large Language Models

Yongyu Mu, Peinan Feng, Zhiquan Cao, Yuzhang Wu, Bei Li, Chenglong Wang, Tong Xiao, Kai Song, Tongran Liu, Chunliang Zhang, Jingbo Zhu

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

Comments Accepted to EMNLP 2024

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks

Xin Yi, Yue Li, Dongsheng Shi, Linlin Wang, Xiaoling Wang, Liang He

机构 * Lab of Artificial Intelligence for Education, East China Normal University, Shanghai 200062, China（教育人工智能实验室，东华大学，上海200062，中国） ； Shanghai Institute of Artificial Intelligence for Education, East China Normal University, Shanghai 200062, China（教育人工智能研究所，东华大学，上海200062，中国） ； School of Computer Science and Technology, East China Normal University, Shanghai 200062, China（计算机科学与技术学院，东华大学，上海200062，中国） 纠错

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

BiasFilter: An Inference-Time Debiasing Framework for Large Language Models

Xiaoqing Cheng, Ruizhe Chen, Hongying Zan, Yuxiang Jia, Min Peng

机构 * First Author Affiliation（第一作者单位） ； Second Author Affiliation（第二作者单位） 纠错

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

SlimLLM: Accurate Structured Pruning for Large Language Models

Jialong Guo, Xinghao Chen, Yehui Tang, Yunhe Wang

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

Comments ICML 2025

Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem?

Zichen Wen, Yifeng Gao, Weijia Li, Conghui He, Linfeng Zhang

机构 * Shanghai Jiao Tong University（上海交通大学） ； EPIC Lab, SJTU（EPIC实验室，SJTu） ； Shanghai AI Laboratory（上海人工智能实验室） ； Sun Yat-sen University（中山大学） 纠错

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

Comments ACL 2025 Findings