语言大模型 / LLM

Sample-efficient Integration of New Modalities into Large Language Models

Osman Batur İnce, André F. T. Martins, Oisin Mac Aodha, Edoardo M. Ponti

机构 * University of Edinburgh（爱丁堡大学） ； Instituto de Telecomunicações（电信研究所） ； Instituto Superior Técnico, Universidade de Lisboa（里斯本大学技术学院） ； Unbabel 纠错

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

Comments Pre-print

Research on Multi-hop Inference Optimization of LLM Based on MQUAKE Framework

Zucheng Liang, Wenxin Wei, Kaijie Zhang, Hongyi Chen

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

Scaling Up, Speeding Up: A Benchmark of Speculative Decoding for Efficient LLM Test-Time Scaling

Shengyin Sun, Yiming Li, Xing Li, Yingzhao Lian, Weizhe Lin, Hui-Ling Zhen, Zhiyuan Yang, Chen Chen, Xianzhi Yu, Mingxuan Yuan, Chen Ma

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

Comments 18 pages

LLM Enabled Multi-Agent System for 6G Networks: Framework and Method of Dual-Loop Edge-Terminal Collaboration

Zheyan Qu, Wenbo Wang, Zitong Yu, Boquan Sun, Yang Li, Xing Zhang

机构 * Beijing University of Posts and Telecommunications（北京邮电大学） 纠错

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

Comments This paper has been accepted by IEEE Communications Magazine

OSC: Cognitive Orchestration through Dynamic Knowledge Alignment in Multi-Agent LLM Collaboration

Jusheng Zhang, Yijia Fan, Kaitong Cai, Xiaofei Sun, Keze Wang

机构 * Sun Yat-sen University（中山大学） ； 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.AI

Comments Accepted at EMNLP 2025 (Long Paper)

Exploring Autoregressive Vision Foundation Models for Image Compression

Huu-Tai Phung, Yu-Hsiang Lin, Yen-Kuan Ho, Wen-Hsiao Peng

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

Efficient Video-to-Audio Generation via Multiple Foundation Models Mapper

Gehui Chen, Guan'an Wang, Xiaowen Huang, Jitao Sang

机构 * School of Computer Science ； Technology, Beijing Jiaotong University Beijing China ； Beijing Key Laboratory of Traffic Data Mining ； Key Laboratory of Big Data \& Artificial Intelligence in Transportation, Ministry of Education Beijing China ； Technology, Beijing Jiaotong University ； Key Laboratory of Big Data \& Artificial Intelligence in Transportation, Ministry of Education 纠错

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

AI-in-the-loop: The future of biomedical visual analytics applications in the era of AI

Katja Bühler, Thomas Höllt, Thomas Schulz, Pere-Pau Vázquez

机构 * Vienna Research Center for Visual Computing（维也纳视觉计算研究中心） ； VRVis GmbH（VRVis公司） ； Delft University of Technology（代尔夫特理工大学） ； University of Bonn（波恩大学） ； Lamarr Institute for Machine Learning and Artificial Intelligence（拉马尔机器学习与人工智能研究所） ； Universitat Politècnica de Catalunya（巴塞罗那理工大学） 纠错

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

Comments Accepted for publication in IEEE Computer Graphics & Applications

Journal ref K. Bühler, T. Hollt, T. Schultz and P. Vazquez, "AI-in-The-Loop: The Future of Biomedical Visual Analytics Applications in the Era of AI" in IEEE Computer Graphics and Applications, vol. 45, no. 02, pp. 90-99, March-April 2025

Mitigating Hallucinations in LM-Based TTS Models via Distribution Alignment Using GFlowNets

Chenlin Liu, Minghui Fang, Patrick Zhang, Wei Zhou, Jie Gao, Jiqing Han

机构 * Harbin Institute of Technology, China（哈尔滨工业大学） ； Zhejiang University, China（浙江大学） ； Tsinghua University, Shenzhen, China（清华大学深圳研究院） 纠错

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

Comments Accepted to EMNLP 2025 Main Conference (Oral)

STADE: Standard Deviation as a Pruning Metric

Diego Coello de Portugal Mecke, Haya Alyoussef, Maximilian Stubbemann, Ilia Koloiarov, Tom Hanika, Lars Schmidt-Thieme

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

RepairLLaMA: Efficient Representations and Fine-Tuned Adapters for Program Repair

André Silva, Sen Fang, Martin Monperrus

机构 * KTH Royal Institute of Technology（皇家理工学院） ； NC State University（北卡罗来纳州立大学） 纠错

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

Comments Accepted to IEEE TSE

Journal ref IEEE Transactions on Software Engineering, 2025

SePA: A Search-enhanced Predictive Agent for Personalized Health Coaching

Melik Ozolcer, Sang Won Bae

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

Comments Accepted at IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI'25). 7 pages, 5 figures, 3 tables

ELIXIR: Efficient and LIghtweight model for eXplaIning Recommendations

Ben Kabongo, Vincent Guigue, Pirmin Lemberger

机构 * Sorbonne University, CNRS, ISIR（索邦大学、国家科学研究中心、信息科学研究所） 纠错

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

Comments 10 pages, 3 figures, 6 Tables

Poison Once, Control Anywhere: Clean-Text Visual Backdoors in VLM-based Mobile Agents

Xuan Wang, Siyuan Liang, Zhe Liu, Yi Yu, Aishan Liu, Yuliang Lu, Xitong Gao, Ee-Chien Chang

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

Comments 10 pages

FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Action Flow Policies

Moritz Reuss, Hongyi Zhou, Marcel Rühle, Ömer Erdinç Yağmurlu, Fabian Otto, Rudolf Lioutikov

机构 * Intuitive Robots Lab（直观机器人实验室） ； Karlsruhe Institute of Technology（卡尔斯鲁厄理工学院） ； Microsoft Research（微软研究院） 纠错

专题命中 效率与部署 ：LLM(abstract)

Comments Published at CoRL 2025