语言大模型 / LLM

Temporal-Aware GPU Resource Allocation for Distributed LLM Inference via Reinforcement Learning

Chengze Du, Zhiwei Yu, Heng Xu, Haojie Wang, Bo liu, Jialong Li

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

Comments 17 pages, 12 figures

InferLog: Accelerating LLM Inference for Online Log Parsing via ICL-oriented Prefix Caching

Yilun Wang, Pengfei Chen, Haiyu Huang, Zilong He, Gou Tan, Chuanfu Zhang, Jingkai He, Zibin Zheng

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

Comments Accepted by ICSE '26 (The 48th IEEE/ACM International Conference on Software Engineering)

A Multimodal Foundation Model to Enhance Generalizability and Data Efficiency for Pan-cancer Prognosis Prediction

Huajun Zhou, Fengtao Zhou, Jiabo Ma, Yingxue Xu, Xi Wang, Xiuming Zhang, Li Liang, Zhenhui Li, Hao Chen

机构 * Department of Computer Science and Engineering（计算机科学与工程系） ； Hong Kong University of Science and Technology（香港科学与技术大学） ； Department of Pathology（病理学系） ； School of Medicine（医学院） ； Zhejiang University（浙江大学） ； Nanfang Hospital and School of Basic Medical Sciences（南方医科大学基础医学系） ； Southern Medical University（南方医学院） ； Guangdong Provincial Key Laboratory of Molecular Tumor Pathology（广东省分子肿瘤病理重点实验室） ； Jinfeng Laboratory（金凤实验室） ； Department of Radiology（放射科） ； Division of Life Science（生命科学系） ； HKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute（香港科技大学深圳-香港协同创新研究院） ； State Key Laboratory of Nervous System Disorders（神经系统疾病国家重点实验室） 纠错

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

Comments 27 pages, 7 figures

Discovering Mathematical Equations with Diffusion Language Model

Xiaoxu Han, Chengzhen Ning, Jinghui Zhong, Fubiao Yang, Yu Wang, Xin Mu

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

From Understanding to Generation: An Efficient Shortcut for Evaluating Language Models

Viktor Hangya, Fabian Küch, Darina Gold

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

Comments Accepted to EMNLP 2025 (Main Conference)

Test-Time Canonicalization by Foundation Models for Robust Perception

Utkarsh Singhal, Ryan Feng, Stella X. Yu, Atul Prakash

机构 * University of Michigan（密歇根大学） 纠错

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

Comments Published at ICML 2025

Adversarial Prompt Distillation for Vision-Language Models

Lin Luo, Xin Wang, Bojia Zi, Shihao Zhao, Xingjun Ma, Yu-Gang Jiang

机构 * Shanghai Key Lab of Intell. Info. Processing, School of CS, Fudan University（上海智能信息处理实验室，计算机科学学院，复旦大学） ； The Chinese University of Hong Kong, Shatin, Hong Kong（香港中文大学，沙田，香港） ； The University of Hong Kong, Pokfulam, Hong Kong（香港大学，薄扶林，香港） 纠错

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

Comments This work has been submitted to the IEEE for possible publication

Scaling Up Throughput-oriented LLM Inference Applications on Heterogeneous Opportunistic GPU Clusters with Pervasive Context Management

Thanh Son Phung, Douglas Thain

专题命中 效率与部署 ：LLM(title,abstract)

Comments 10 pages

Federated Foundation Models in Harsh Wireless Environments: Prospects, Challenges, and Future Directions

Evan Chen, Seyyedali Hosseinalipour, Christopher G. Brinton, David J. Love

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

Comments This paper is under review in IEEE Network Magazine Special Issue on Large AI Models for the Internet of Everything

Tool-R1: Sample-Efficient Reinforcement Learning for Agentic Tool Use

Yabo Zhang, Yihan Zeng, Qingyun Li, Zhen Hu, Kavin Han, Wangmeng Zuo

机构 * Harbin Institute of Technology（哈尔滨工业大学） ； Huawei Noah’s Ark Lab（华为诺亚实验室） 纠错

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

Optimal Brain Restoration for Joint Quantization and Sparsification of LLMs

Hang Guo, Yawei Li, Luca Benini

机构 * ETH Zürich（苏黎世联邦理工学院） 纠错

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

Comments Preprint

Clue-RAG: Towards Accurate and Cost-Efficient Graph-based RAG via Multi-Partite Graph and Query-Driven Iterative Retrieval

Yaodong Su, Yixiang Fang, Yingli Zhou, Quanqing Xu, Chuanhui Yang

机构 * The Chinese University of Hong Kong, Shenzhen（香港中文大学（深圳）） 纠错

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

MTP: A Meaning-Typed Language Abstraction for AI-Integrated Programming

Jayanaka L. Dantanarayana, Yiping Kang, Kugesan Sivasothynathan, Christopher Clarke, Baichuan Li, Savini Kashmira, Krisztian Flautner, Lingjia Tang, Jason Mars

机构 * University of Michigan（密歇根大学） ； Jaseci Labs（Jaseci实验室） 纠错

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

Comments OOPSLA 2025

AMAZe: A Multi-Agent Zero-shot Index Advisor for Relational Databases

Zhaodonghui Li, Haitao Yuan, Jiachen Shi, Hao Zhang, Yu Rong, Gao Cong

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

Small Models, Big Results: Achieving Superior Intent Extraction through Decomposition

Danielle Cohen, Yoni Halpern, Noam Kahlon, Joel Oren, Omri Berkovitch, Sapir Caduri, Ido Dagan, Anatoly Efros

机构 * Google（谷歌） ； Bar-Ilan University（巴伊兰大学） 纠错

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

Black-box Model Merging for Language-Model-as-a-Service with Massive Model Repositories

Shilian Chen, Jie Zhou, Tianyu Huai, Yujiang Lu, Junsong Li, Bihao Zhan, Qianjun Pan, Yutao Yang, Xin Li, Qin Chen, Hang Yan, Liang He

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

TransientVerse: A Comprehensive Real-Time Alert and Multi-Wavelength Analysis System for Transient Astronomical Events

Jian-Hua Fang, Di Li, Pei Wang, Hua-Xi Chen, Han Wang, Deng-Ke Zhou, Qin-Ping Bao, Hai-Yan Li, Jing-Jing Hu, Jin-Tao Xie, Xiao-Dong Ge, Yi Feng, Dong-Hui Quan, Zhi-Xuan Kang, Xue-Rong Guo, Chen-Wu Jin, Zhi-Lin Wang, Jia-Ying Xu, Chen-Chen Miao, Ru-Shuang Zhao, Chen-Hui Niu

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

Journal ref A&A 701, A207 (2025)

A Scalable Architecture for Efficient Multi-bit Fully Homomorphic Encryption

Jiaao Ma, Ceyu Xu, Lisa Wu Wills

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

Comments 13 pages, 16 figures

IsoSched: Preemptive Tile Cascaded Scheduling of Multi-DNN via Subgraph Isomorphism

Boran Zhao, Zihang Yuan, Yanbin Hu, Haiming Zhai, Haoruo Zhang, Wenzhe Zhao, Tian Xia, Pengju Ren

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

ResidualViT for Efficient Temporally Dense Video Encoding

Mattia Soldan, Fabian Caba Heilbron, Bernard Ghanem, Josef Sivic, Bryan Russell

机构 * KAUST（科威特科学与技术王国（KAUST）） ； CIIRC CTU（布拉格技术大学智能信息与计算研究中心（CIIRC CTU）） ； Adobe Research（Adobe研究） 纠错

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

Beyond Averages: Open-Vocabulary 3D Scene Understanding with Gaussian Splatting and Bag of Embeddings

Abdalla Arafa, Didier Stricker

机构 * DFKI（德意志联邦鹰隼研究所） 纠错

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

Towards personalized, precise and survey-free environment recognition: AI-enhanced sensor fusion without pre-deployment

Ruichen Wang, Zhikang Ni, Pengzhou Wang, Xiya Cao, Zhi Li, Bao Zhang

专题命中 效率与部署 ：RLHF(abstract)

Comments 5 pages, 7 figures, conference

AMF-MedIT: An Efficient Align-Modulation-Fusion Framework for Medical Image-Tabular Data

Congjing Yu, Jing Ye, Yang Liu, Xiaodong Zhang, Zhiyong Zhang

机构 * School of Electronics and Communication Engineering（电子与通信工程学院） ； Guangdong Provincial Key Laboratory of Advanced IntelliSense Technology（广东省先进智能感知技术重点实验室） ； Department of Radiology（放射科） 纠错

专题命中 效率与部署 ：pretraining(abstract)

Evaluating Large Language Models for Functional and Maintainable Code in Industrial Settings: A Case Study at ASML

Yash Mundhra, Max Valk, Maliheh Izadi

机构 * Delft University of Technology（代尔夫特理工大学） ； ASML（ASML公司） 纠错

专题命中 领域大模型 ：large language model(title,abstract)；language model(title,abstract)；LLM(abstract)；prompting(abstract)

Comments Accepted in the 40th IEEE/ACM International Conference on Automated Software Engineering, ASE 2025 (Industry track)

Leveraging Large Language Models to Effectively Generate Visual Data for Canine Musculoskeletal Diagnoses

Martin Thißen, Thi Ngoc Diep Tran, Barbara Esteve Ratsch, Ben Joel Schönbein, Ute Trapp, Beate Egner, Romana Piat, Elke Hergenröther

机构 * Darmstadt University of Applied Sciences（达姆施塔特应用技术大学） ； Veterinary Academy of Higher Learning（兽医高等学习学院） ； European University of Technology（欧洲技术大学） 纠错

专题命中 领域大模型 ：large language model(title,abstract)；language model(title,abstract)；LLM(abstract)；prompting(abstract)

Journal ref Computer Science Research Notes 3501(1) (2025) 27-38

Evaluating the Robustness of Open-Source Vision-Language Models to Domain Shift in Object Captioning

Federico Tavella, Amber Drinkwater, Angelo Cangelosi

机构 * Centre for Robotic Autonomy in Demanding and Long-lasting Environments（机器人自主性在恶劣和持久环境中的研究中心） ； Centre for Robotics and AI（机器人与人工智能中心） ； University of Manchester（曼彻斯特大学） ； Amentum Clean Energy Ltd（Amentum清洁能源有限公司） 纠错

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.AI、cs.LG

Prompting the Professoriate: A Qualitative Study of Instructor Perspectives on LLMs in Data Science Education

Ana Elisa Lopez-Miranda, Tiffany Timbers, Rohan Alexander

专题命中 领域大模型 ：prompting(title)；large language model(abstract)；language model(abstract)

Comments 45 pages, 16 figures, 1 table

ALL-PET: A Low-resource and Low-shot PET Foundation Model in Projection Domain

Bin Huang, Kang Chen, Bingxuan Li, Huafeng Liu, Qiegen Liu

专题命中 领域大模型 ：foundation model(title,abstract)

Knowledge Graph Tokenization for Behavior-Aware Generative Next POI Recommendation

Ke Sun, Mayi Xu

专题命中 领域大模型 ：LLM(abstract)；large language model(abstract)；language model(abstract)

Polysemantic Dropout: Conformal OOD Detection for Specialized LLMs

Ayush Gupta, Ramneet Kaur, Anirban Roy, Adam D. Cobb, Rama Chellappa, Susmit Jha

机构 * SRI（SRI研究院） ； Johns Hopkins University（约翰霍普金斯大学） 纠错

专题命中 领域大模型 ：large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI

Comments Accepted to EMNLP 2025 main conference