语言大模型 / LLM

Z-Pruner: Post-Training Pruning of Large Language Models for Efficiency without Retraining

Samiul Basir Bhuiyan, Md. Sazzad Hossain Adib, Mohammed Aman Bhuiyan, Muhammad Rafsan Kabir, Moshiur Farazi, Shafin Rahman, Nabeel Mohammed

机构 * Department of Electrical and Computer Engineering, North South University, Dhaka, 1229, Bangladesh（电气与计算机工程系，北南大学，达卡，孟加拉国） ； Data Science and AI, University of Doha for Science and Technology, Doha, Qatar（数据科学与人工智能，多哈科学技术大学，多哈，卡塔尔） 纠错

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

Comments Accepted at AICCSA 2025

A Probabilistic Inference Scaling Theory for LLM Self-Correction

Zhe Yang, Yichang Zhang, Yudong Wang, Ziyao Xu, Junyang Lin, Zhifang Sui

机构 * State Key Laboratory of Multimedia Information Processing, School of Computer Science, Peking University（多媒体信息处理国家重点实验室，计算机学院，北京大学） ； Alibaba Group（阿里巴巴集团） 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

Comments EMNLP 2025 Main

GreenLLM: SLO-Aware Dynamic Frequency Scaling for Energy-Efficient LLM Serving

Qunyou Liu, Darong Huang, Marina Zapater, David Atienza

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

Integrating Time Series into LLMs via Multi-layer Steerable Embedding Fusion for Enhanced Forecasting

Zhuomin Chen, Dan Li, Jiahui Zhou, Shunyu Wu, Haozheng Ye, Jian Lou, See-Kiong Ng

机构 * School of Software Engineering Sun Yat-Sen University（软件工程学院中山大学） ； Institute of Data Science（数据科学研究院） ； School of Computing（计算机学院） ； National University of Singapore（新加坡国立大学） 纠错

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

Comments To be published in CIKM 2025

HypER: Literature-grounded Hypothesis Generation and Distillation with Provenance

Rosni Vasu, Chandrayee Basu, Bhavana Dalvi Mishra, Cristina Sarasua, Peter Clark, Abraham Bernstein

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

Comments EMNLP 2025, 26 pages (9 pages: main paper body)

Annif at the GermEval-2025 LLMs4Subjects Task: Traditional XMTC Augmented by Efficient LLMs

Osma Suominen, Juho Inkinen, Mona Lehtinen

机构 * National Library of Finland, University of Helsinki（芬兰国家图书馆，赫尔辛基大学） 纠错

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

Comments 5 pages, 4 figures, accepted at KONVENS 2025. arXiv admin note: substantial text overlap with arXiv:2504.19675

AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications

Dawei Gao, Zitao Li, Yuexiang Xie, Weirui Kuang, Liuyi Yao, Bingchen Qian, Zhijian Ma, Yue Cui, Haohao Luo, Shen Li, Lu Yi, Yi Yu, Shiqi He, Zhiling Luo, Wenmeng Zhou, Zhicheng Zhang, Xuguang He, Ziqian Chen, Weikai Liao, Farruh Isakulovich Kushnazarov, Yaliang Li, Bolin Ding, Jingren Zhou

机构 * Alibaba Group（阿里巴巴集团） 纠错

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

Ethical Concerns of Generative AI and Mitigation Strategies: A Systematic Mapping Study

Yutan Huang, Chetan Arora, Wen Cheng Houng, Tanjila Kanij, Anuradha Madulgalla, John Grundy

机构 * Faculty of Information Technology, Monash University（墨尔本大学信息科技学院） ； School of Science, Computing and Engineering Technologies, Swinburne University（斯威本大学科学与工程技术学院） ； School of Information Technology, Deakin University（德肯大学信息科技学院） 纠错

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