语言大模型 / LLM

A Multi-Pass Large Language Model Framework for Precise and Efficient Radiology Report Error Detection

Songsoo Kim, Seungtae Lee, See Young Lee, Joonho Kim, Keechan Kan, Dukyong Yoon

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 29 pages, 5 figures, 4 tables. Code available at https://github.com/radssk/mp-rred

Retrieval-Confused Generation is a Good Defender for Privacy Violation Attack of Large Language Models

Wanli Peng, Xin Chen, Hang Fu, XinYu He, Xue Yiming, Juan Wen

机构 * China Agricultural University（中国农业大学） 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

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction

Chengjie Liu, Weiyu Chen, Huiyao Xu, Yuan Du, Jun Yang, Li Du

机构 * School of Electronic Science（电子科学学院） ； Nanjing University（南京大学） ； National Center of Technology Innovation for EDA（EDA技术创新中心） ； Nanjing Tech University（南京理工大学） ； School of Integrated Circuits（集成电路学院） ； Southeast University（东南大学） 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.AI

Comments Accepted by ISEDA 2025

Probe before You Talk: Towards Black-box Defense against Backdoor Unalignment for Large Language Models

Biao Yi, Tiansheng Huang, Sishuo Chen, Tong Li, Zheli Liu, Zhixuan Chu, Yiming Li

机构 * College of Cyber Science, Nankai University（南开大学网络科学学院） ； Alibaba Group（阿里巴巴集团） ； Zhejiang University（浙江大学） ； Nanyang Technological University（新加坡国立大学） 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 ICLR 2025

Journal ref Proceedings of The Thirteenth International Conference on Learning Representations (ICLR 2025)

SelectLLM: Query-Aware Efficient Selection Algorithm for Large Language Models

Kaushal Kumar Maurya, KV Aditya Srivatsa, Ekaterina Kochmar

机构 * Mohamed Bin Zayed University of Artificial Intelligence（Mohamed Bin Zayed人工智能大学） 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 9 pages

Journal ref ACL 2025 (Findings)

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts

Yuchen Feng, Bowen Shen, Naibin Gu, Jiaxuan Zhao, Peng Fu, Zheng Lin, Weiping Wang

机构 * Institute of Information Engineering, Chinese Academy of Sciences（中国科学院信息工程研究所） ； School of Cyber Security, University of Chinese Academy of Sciences（中国科学院大学网络空间安全学院） 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.CL

Comments ACL 2025

G-Sim: Generative Simulations with Large Language Models and Gradient-Free Calibration

Samuel Holt, Max Ruiz Luyten, Antonin Berthon, Mihaela van der Schaar

机构 * University of Cambridge（剑桥大学） 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

Comments Accepted at the 42nd International Conference on Machine Learning (ICML 2025). 9 pages, 3 figures

Journal ref Proceedings of the 42nd International Conference on Machine Learning, Vancouver, Canada. PMLR 267, 2025

CE-CoLLM: Efficient and Adaptive Large Language Models Through Cloud-Edge Collaboration

Hongpeng Jin, Yanzhao Wu

机构 * Florida International University（佛罗里达国际大学） 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

Comments To appear in IEEE ICWS 2025

HALoS: Hierarchical Asynchronous Local SGD over Slow Networks for Geo-Distributed Large Language Model Training

Geon-Woo Kim, Junbo Li, Shashidhar Gandham, Omar Baldonado, Adithya Gangidi, Pavan Balaji, Zhangyang Wang, Aditya Akella

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

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets

Mohd. Farhan Israk Soumik, Syed Mhamudul Hasan, Abdur R. Shahid

机构 * School of Computing（计算学院） ； Southern Illinois University Carbondale（南伊利诺伊大学卡罗拉多分校） 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

DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers

Xueguang Ma, Xi Victoria Lin, Barlas Oguz, Jimmy Lin, Wen-tau Yih, Xilun Chen

机构 * FAIR at Meta（Meta 的 FAIR 研究院） ； 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 ACL 2025

Instruction-Following Pruning for Large Language Models

Bairu Hou, Qibin Chen, Jianyu Wang, Guoli Yin, Chong Wang, Nan Du, Ruoming Pang, Shiyu Chang, Tao Lei

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 ICML 2025

SCAR: Data Selection via Style Consistency-Aware Response Ranking for Efficient Instruction-Tuning of Large Language Models

Zhuang Li, Yuncheng Hua, Thuy-Trang Vu, Haolan Zhan, Lizhen Qu, Gholamreza Haffari

机构 * School of Computing Technologies, RMIT University, Australia（皇家墨尔本理工大学计算机科技学院） ； School of Computer Science and Engineering, University of New South Wales（新南威尔士大学计算机科学与工程学院） ； Department of Data Science & AI, Monash University, Australia（墨尔本大学数据科学与人工智能系） 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.CL

Comments 35 pages (9th version), developed over 1.5 years. Previously submitted to EMNLP 2024 and ICLR 2025, with revisions based on extensive review feedback. Now accepted to ACL 2025 main

Exploring the Integration of Large Language Models into Automatic Speech Recognition Systems: An Empirical Study

Zeping Min, Jinbo Wang

机构 * Peking University No.5 Yiheyuan Road, Haidian District, Beijing 100871, P.R.China（北京大学） 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

Power-of-Two (PoT) Weights in Large Language Models (LLMs)

Mahmoud Elgenedy

机构 * Department of Computer Science Stanford University（计算机科学系 斯坦福大学） 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

Anticipating Future with Large Language Model for Simultaneous Machine Translation

Siqi Ouyang, Oleksii Hrinchuk, Zhehuai Chen, Vitaly Lavrukhin, Jagadeesh Balam, Lei Li, Boris Ginsburg

机构 * Carnegie Mellon University（卡内基梅隆大学） ； NVIDIA（英伟达） 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 NAACL 2025 Main

Krikri: Advancing Open Large Language Models for Greek

Dimitris Roussis, Leon Voukoutis, Georgios Paraskevopoulos, Sokratis Sofianopoulos, Prokopis Prokopidis, Vassilis Papavasileiou, Athanasios Katsamanis, Stelios Piperidis, Vassilis Katsouros

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

EL4NER: Ensemble Learning for Named Entity Recognition via Multiple Small-Parameter Large Language Models

Yuzhen Xiao, Jiahe Song, Yongxin Xu, Ruizhe Zhang, Yiqi Xiao, Xin Lu, Runchuan Zhu, Bowen Jiang, Junfeng Zhao

机构 * School of Computer Science and School of Software & Microelectronics, Peking University, Beijing, China（北京大学计算机学院及软件与微电子学院） ； Key Laboratory of High Confidence Software Technologies, Ministry of Education, Beijing, China（教育部高可信软件技术重点实验室） ； Nanhu Laboratory, Jiaxing, China（南湖实验室） ； School of Computer Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing, China（北京航空航天大学计算机科学与工程学院） 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.CL

Small Language Models: Architectures, Techniques, Evaluation, Problems and Future Adaptation

Tanjil Hasan Sakib, Md. Tanzib Hosain, Md. Kishor Morol

机构 * American International University-Bangladesh（美国国际大学-孟加拉国） ； Cornell University（康奈尔大学） 纠错

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

Comments 9 pages

PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration

Ziqian Zeng, Jianwei Wang, Junyao Yang, Zhengdong Lu, Haoran Li, Huiping Zhuang, Cen Chen

机构 * South China University of Technology（华南理工大学） ； Pazhou Laboratory（琶洲实验室） ； Hong Kong University of Science and Technology（香港科学与技术大学） 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 by ACL2025

RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models

Nguyen Thach, Aida Riahifar, Nathan Huynh, Hau Chan

机构 * University of Nebraska-Lincoln（内布拉斯加大学林肯分校） 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 Under Review

Using Large Language Models to Assess Teachers' Pedagogical Content Knowledge

Yaxuan Yang, Shiyu Wang, Xiaoming Zhai

机构 * AI4STEM Education Center, University of Georgia, Athens, GA 30602, USA（AI4STEM教育中心，佐治亚大学，亚特兰大，GA 30602，USA） ； Department of Educational Psychology, University of Georgia, Athens, GA 30602, USA（教育心理学系，佐治亚大学，亚特兰大，GA 30602，USA） ； Department of Mathematics, Science, and Social Studies Education, University of Georgia, Athens, GA 30602, USA（数学、科学与社会科学教育系，佐治亚大学，亚特兰大，GA 30602，USA） 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

$PD^3F$: A Pluggable and Dynamic DoS-Defense Framework Against Resource Consumption Attacks Targeting Large Language Models

Yuanhe Zhang, Xinyue Wang, Haoran Gao, Zhenhong Zhou, Fanyu Meng, Yuyao Zhang, Sen Su

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

Exploring a Large Language Model for Transforming Taxonomic Data into OWL: Lessons Learned and Implications for Ontology Development

Filipi Miranda Soares, Antonio Mauro Saraiva, Luís Ferreira Pires, Luiz Olavo Bonino da Silva Santos, Dilvan de Abreu Moreira, Fernando Elias Corrêa, Kelly Rosa Braghetto, Debora Pignatari Drucker, Alexandre Cláudio Botazzo Delbem

机构 * University of Sao Paulo, Polytechnic School, Computer Engineering and Digital Systems（圣保罗大学，理工学院，计算机工程与数字系统） ； University of Sao Paulo, Center for Artificial Intelligence (C4AI)（圣保罗大学，人工智能中心（C4AI）） ； University of Twente, Faculty of Electrical Engineering, Mathematics and Computer Science（代尔夫特理工大学，电气工程、数学与计算机科学学院） ； Leiden University Medical Center, Human Genetics（莱顿大学医学中心，人类遗传学） ； University of Sao Paulo, Institute of Mathematics and Computer Science（圣保罗大学，数学与计算机科学研究所） ； University of Sao Paulo, Luiz de Queiroz College of Agriculture, Center for Advanced Studies on Applied Economics（圣保罗大学，路易斯·德·奎罗兹农业学院，应用经济学研究中心） ； University of Sao Paulo, Institute of Mathematics and Statistics（圣保罗大学，数学与统计学研究所） ； Embrapa Digital Agriculture, Campinas（巴西数字农业研究所，坎皮纳斯） 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 31 pages, 6 Figures, accepted for publication in Data Intelligence

Journal ref 2025

Bidirectional Knowledge Distillation for Enhancing Sequential Recommendation with Large Language Models

Jiongran Wu, Jiahao Liu, Dongsheng Li, Guangping Zhang, Mingzhe Han, Hansu Gu, Peng Zhang, Li Shang, Tun Lu, Ning Gu

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 11 pages, under review

Making Small Language Models Efficient Reasoners: Intervention, Supervision, Reinforcement

Xuechen Zhang, Zijian Huang, Chenshun Ni, Ziyang Xiong, Jiasi Chen, Samet Oymak

机构 * University of Michigan（密歇根大学） 纠错

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

Leveraging Large Language Models for Command Injection Vulnerability Analysis in Python: An Empirical Study on Popular Open-Source Projects

Yuxuan Wang, Jingshu Chen, Qingyang Wang

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

SayCoNav: Utilizing Large Language Models for Adaptive Collaboration in Decentralized Multi-Robot Navigation

Abhinav Rajvanshi, Pritish Sahu, Tixiao Shan, Karan Sikka, Han-Pang Chiu

机构 * SRI International（SRI国际研究院） ； Meta 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

Symbolic Regression with Multimodal Large Language Models and Kolmogorov Arnold Networks

Thomas R. Harvey, Fabian Ruehle, Kit Fraser-Taliente, James Halverson

机构 * NSF AI Institute for Fundamental Interactions, MIT, Cambridge, MA 02139, USA（NSF人工智能基础相互作用研究所，麻省理工学院，剑桥，马萨诸塞州，02139，美国） ； Department of Physics, Northeastern University, Boston, MA 02115, USA（物理系，东北大学，波士顿，马萨诸塞州，02115，美国） ； Department of Mathematics, Northeastern University, Boston, MA 02115, USA（数学系，东北大学，波士顿，马萨诸塞州，02115，美国） ； Rudolf Peierls Centre for Theoretical Physics, University of Oxford, Oxford OX1 2JD, UK（鲁道夫·佩尔尔斯理论物理中心，牛津大学，牛津 OX1 2JD，英国） 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

VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits

Jintian Shao, Hongyi Huang, Jiayi Wu, YiMing Cheng, ZhiYu Wu, You Shan, MingKai Zheng

机构 * Southern University of Science and Technology（南方科技大学） ； Fudan University（复旦大学） ； Tsinghua University（清华大学） ； SenseTime Research（商汤科技研究院） 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.CL