语言大模型 / LLM

LEED: A Highly Efficient and Scalable LLM-Empowered Expert Demonstrations Framework for Multi-Agent Reinforcement Learning

Tianyang Duan, Zongyuan Zhang, Songxiao Guo, Dong Huang, Yuanye Zhao, Zheng Lin, Zihan Fang, Dianxin Luan, Heming Cui, Yong Cui

机构 * Department of Computer Science, The University of Hong Kong（香港大学计算机科学系） ； Institute of Data Science, National University of Singapore（新加坡国立大学数据科学研究所） ； College of International Education, Hebei University of Economics and Business（河北经贸大学国际教育学院） ； Department of Electrical and Electronic Engineering, The University of Hong Kong（香港大学电子与电气工程系） ； Department of Computer Science, City University of Hong Kong（香港城市大学计算机科学系） ； Institute for Imaging, Data and Communications, University of Edinburgh（爱丁堡大学成像、数据与通讯研究所） ； Department of Computer Science and Technology, Tsinghua University（清华大学计算机科学与技术系） 纠错

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

Comments 5 pages, 4 figures

CSRM-LLM: Embracing Multilingual LLMs for Cold-Start Relevance Matching in Emerging E-commerce Markets

Yujing Wang, Yiren Chen, Huoran Li, Chunxu Xu, Yuchong Luo, Xianghui Mao, Cong Li, Lun Du, Chunyang Ma, Qiqi Jiang, Yin Wang, Fan Gao, Wenting Mo, Pei Wen, Shantanu Kumar, Taejin Park, Yiwei Song, Vijay Rajaram, Tao Cheng, Sonu Durgia, Pranam Kolari

机构 * Coupang, Inc.（Coupang公司） 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 7 pages, 3 figures, accepted by CIKM 2025

LEAP: LLM Inference on Scalable PIM-NoC Architecture with Balanced Dataflow and Fine-Grained Parallelism

Yimin Wang, Yue Jiet Chong, Xuanyao Fong

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

Comments Accepted to the 2025 International Conference on Computer-Aided Design (ICCAD'25)

The Energy-Efficient Hierarchical Neural Network with Fast FPGA-Based Incremental Learning

Mohammad Saleh Vahdatpour, Huaiyuan Chu, Yanqing Zhang

机构 * Department of Computer Science Georgia State University Atlanta, GA 30302-5060, USA（计算机科学系 佐治亚州立大学 阿拉巴马州亚特兰大 30302-5060, 美国） 纠错

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

Comments Published at IJCNN 2025

Forecasting and Visualizing Air Quality from Sky Images with Vision-Language Models

Mohammad Saleh Vahdatpour, Maryam Eyvazi, Yanqing Zhang

机构 * Georgia State University（佐治亚州立大学） ； Savannah College of Art and Design（萨凡纳艺术与设计学院） 纠错

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

Comments Published at ICCVW 2025

An Empirical Study of Federated Prompt Learning for Vision Language Model

Zhihao Wang, Wenke Huang, Tian Chen, Zekun Shi, Guancheng Wan, Yu Qiao, Bin Yang, Jian Wang, Bing Li, Mang Ye

机构 * School of Computer Science, Wuhan University（武汉大学计算机学院） ； Zhongguancun Laboratory, China（中关村实验室） 纠错

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

Exploring Data and Parameter Efficient Strategies for Arabic Dialect Identifications

Vani Kanjirangat, Ljiljana Dolamic, Fabio Rinaldi

机构 * SUPSI（瑞士苏黎世联邦理工学院） ； IDSIA（智能系统研究所） ； armasuisse S+T 纠错

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

Comments 4 main pages, 4 additional, 5 figures

HARNESS: Lightweight Distilled Arabic Speech Foundation Models

Vrunda N. sukhadia, Shammur Absar Chowdhury

机构 * Qatar Computing Research Institute（卡塔尔计算研究院） 纠错

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

Comments 5 pages, 4 figures

A Multi-To-One Interview Paradigm for Efficient MLLM Evaluation

Ye Shen, Junying Wang, Farong Wen, Yijin Guo, Qi Jia, Zicheng Zhang, Guangtao Zhai

机构 * Shanghai Jiao Tong University（上海交通大学） ； Shanghai AI Laboratory（上海人工智能实验室） ； Fudan University（复旦大学） 纠错

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

Comments 5 pages, 2 figures

(P)rior(D)yna(F)low: A Priori Dynamic Workflow Construction via Multi-Agent Collaboration

Yi Lin, Lujin Zhao, Yijie Shi

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

DSPC: Dual-Stage Progressive Compression Framework for Efficient Long-Context Reasoning

Yaxin Gao, Yao Lu, Zongfei Zhang, Jiaqi Nie, Shanqing Yu, Qi Xuan

机构 * Institute of Cyberspace Security, Zhejiang University of Technology A STAR Amazon Binjiang Institute of Artificial Intelligence, Zhejiang University of Technology 纠错

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

Evaluating the Effectiveness of Coverage-Guided Fuzzing for Testing Deep Learning Library APIs

Feiran Qin, M. M. Abid Naziri, Hengyu Ai, Saikat Dutta, Marcelo d'Amorim

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

What's the Best Way to Retrieve Slides? A Comparative Study of Multimodal, Caption-Based, and Hybrid Retrieval Techniques

Petros Stylianos Giouroukis, Dimitris Dimitriadis, Dimitrios Papadopoulos, Zhenwen Shao, Grigorios Tsoumakas

机构 * Aristotle University of Thessaloniki（亚里士多德大学） 纠错

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

Low-rank surrogate modeling and stochastic zero-order optimization for training of neural networks with black-box layers

Andrei Chertkov, Artem Basharin, Mikhail Saygin, Evgeny Frolov, Stanislav Straupe, Ivan Oseledets

机构 * Artificial Intelligence Research Institute (AIRI)（人工智能研究 institute） ； Skolkovo Institute of Science and Technology（斯克尔科沃科学与技术研究所） ； Sber Quantum Technology Center（Sber 量子技术中心） 纠错

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

Value-Guided KV Compression for LLMs via Approximated CUR Decomposition

Ayan Sengupta, Siddhant Chaudhary, Tanmoy Chakraborty

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

ImpRAG: Retrieval-Augmented Generation with Implicit Queries

Wenzheng Zhang, Xi Victoria Lin, Karl Stratos, Wen-tau Yih, Mingda Chen

机构 * Rutgers University（新泽西罗格斯大学） ； FAIR, Meta（FAIR，Meta） 纠错

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

Comments Findings of EMNLP 2025

Depth AnyEvent: A Cross-Modal Distillation Paradigm for Event-Based Monocular Depth Estimation

Luca Bartolomei, Enrico Mannocci, Fabio Tosi, Matteo Poggi, Stefano Mattoccia

机构 * Advanced Research Center on Electronic System (ARCES)（电子系统先进研究中心） ； Department of Computer Science and Engineering (DISI)（计算机科学与工程系） ； University of Bologna（博洛尼亚大学） 纠错

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

Comments ICCV 2025. Code: https://github.com/bartn8/depthanyevent/ Project Page: https://bartn8.github.io/depthanyevent/

Pushing the Limits of End-to-End Diarization

Samuel J. Broughton, Lahiru Samarakoon

机构 * FanoHong Kong SAR, China（Fano香港特别行政区，中国） 纠错

专题命中 效率与部署 ：pretraining(abstract)

Comments As presented at Interspeech 2025

Journal ref In Proc. Interspeech 2025 (pp. 5218-5222)

CLAIP-Emo: Parameter-Efficient Adaptation of Language-supervised models for In-the-Wild Audiovisual Emotion Recognition

Yin Chen, Jia Li, Jinpeng Hu, Zhenzhen Hu, Richang Hong

机构 * Hefei University of Technology（合肥工业大学） 纠错

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

Comments The code and models will be available at https://github.com/MSA-LMC/CLAIP-Emo

Open-Vocabulary Part-Based Grasping

Tjeard van Oort, Dimity Miller, Will N. Browne, Nicolas Marticorena, Jesse Haviland, Niko Suenderhauf

机构 * Queensland University of Technology（昆士兰理工大学） 纠错

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

Charting trajectories of human thought using large language models

Matthew M Nour, Daniel C McNamee, Isaac Fradkin, Raymond J Dolan

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

Not What the Doctor Ordered: Surveying LLM-based De-identification and Quantifying Clinical Information Loss

Kiana Aghakasiri, Noopur Zambare, JoAnn Thai, Carrie Ye, Mayur Mehta, J. Ross Mitchell, Mohamed Abdalla

机构 * Department of Computing Science, University of Alberta（计算科学系，阿尔伯塔大学） ； Department of Medicine, University of Alberta（医学系，阿尔伯塔大学） ； Alberta Machine Intelligence Institute (Amii)（阿尔伯塔机器智能研究所） ； Arthritis Research Canada（关节炎研究加拿大） 纠错

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

Comments Accepted to EMNLP 2025

Calibration-Aware Prompt Learning for Medical Vision-Language Models

Abhishek Basu, Fahad Shamshad, Ashshak Sharifdeen, Karthik Nandakumar, Muhammad Haris Khan

机构 * Department of Computer Vision, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)（计算机视觉系，Mohamed bin Zayed人工智能大学） ； Department of Computer Science and Engineering, Michigan State University (MSU)（计算机科学与工程系，密歇根州立大学） 纠错

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

Comments Accepted in BMVC 2025

3DS: Medical Domain Adaptation of LLMs via Decomposed Difficulty-based Data Selection

Hongxin Ding, Yue Fang, Runchuan Zhu, Xinke Jiang, Jinyang Zhang, Yongxin Xu, Xu Chu, Junfeng Zhao, Yasha Wang

机构 * School of Computer Science, Peking University, Beijing, China（北京大学计算机学院） ； Key Laboratory of High Confidence Software Technologies, Ministry of Education（教育部高可信软件技术重点实验室） ； National Engineering Research Center for Software Engineering, Peking University, China（软件工程国家级工程研究中心） ； Big Data Technology Research Center, Nanhu Laboratory, Jiaxing, China（南湖实验室大数据技术研究中心） ； Peking University Information Technology Institute, Tianjin Binhai, China（北京大学信息科学技术研究院） 纠错

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

Comments Accepted to EMNLP 2025 (Main Conference)

Fine-tuning Vision Language Models with Graph-based Knowledge for Explainable Medical Image Analysis

Chenjun Li, Laurin Lux, Alexander H. Berger, Martin J. Menten, Mert R. Sabuncu, Johannes C. Paetzold

机构 * School of Electrical and Computer Engineering, Cornell University（电气与计算机工程学院，康奈尔大学） ； School of Computation, Information and Technology, Technical University of Munich（计算、信息与技术学院，慕尼黑技术大学） ； Cornell Tech（康奈尔科技） ； Weill Cornell Medicine（韦尔·康奈尔医学） 纠错

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

Comments 11 pages, 3 figures

Trade-offs in Cross-Domain Generalization of Foundation Model Fine-Tuned for Biometric Applications

Tahar Chettaoui, Naser Damer, Fadi Boutros

机构 * Fraunhofer Institute for Computer Graphics Research IGD（弗劳恩霍夫计算机图形研究研究所） 纠错

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

Comments Accepted at the IEEE International Joint Conference on Biometrics 2025 (IJCB 2025)

A Knowledge-driven Adaptive Collaboration of LLMs for Enhancing Medical Decision-making

Xiao Wu, Ting-Zhu Huang, Liang-Jian Deng, Yanyuan Qiao, Imran Razzak, Yutong Xie

机构 * Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)（莫扎德·本·扎耶德人工智能大学） ； University of Electronic Science and Technology of China（电子科学与技术大学） ； Swiss Federal Institute of Technology Lausanne (EPFL)（苏黎世联邦理工学院） 纠错

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

Comments The paper has been accepted to the EMNLP 2025 Main Conference

Select to Know: An Internal-External Knowledge Self-Selection Framework for Domain-Specific Question Answering

Bolei He, Xinran He, Run Shao, Shanfu Shu, Xianwei Xue, Mingquan Cheng, Haifeng Li, Zhenhua Ling

机构 * University of Science and Technology of China（中国科学技术大学） ； Baidu Inc.（百度公司） ； Central South University（中南大学） ； Chongqing University（重庆大学） 纠错

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

Comments EMNLP2025 Findings

Pluralistic Alignment for Healthcare: A Role-Driven Framework

Jiayou Zhong, Anudeex Shetty, Chao Jia, Xuanrui Lin, Usman Naseem

机构 * Cheriton School of Computer Science, University of Waterloo（滑铁卢大学计算机科学学院） ； School of Computing, FSE, Macquarie University（麦觉大学计算机学院） ； School of Computing and Information System, the University of Melbourne（墨尔本大学计算机与信息系统学院） ； Rajax Network Technology (ele.me), China（中国Rajax网络技术（饿了么）） ； Alibaba Cloud Computing, Alibaba Group, China（中国阿里云 computing，阿里集团） 纠错

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

Comments Accepted to EMNLP 2025 (Main Proceedings)

SCoGen: Scenario-Centric Graph-Based Synthesis of Real-World Code Problems

Xifeng Yao, Dongyu Lang, Wu Zhang, Xintong Guo, Huarui Xie, Yinhao Ni, Ping Liu, Guang Shen, Yi Bai, Dandan Tu, Changzheng Zhang

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