语言大模型 / LLM

Opinion: Towards Unified Expressive Policy Optimization for Robust Robot Learning

Haidong Huang, Haiyue Zhu. Jiayu Song, Xixin Zhao, Yaohua Zhou, Jiayi Zhang, Yuze Zhai, Xiaocong Li

机构 * Eastern Institute of Technology（东部技术研究所） ； University of Nottingham（诺丁汉大学） ； SIMTech, Agency for Science, Technology and Research (A*STAR)（SIMTech，科技研究局（A*STAR）） ； Southern University of Science and Technology（南方科技大学） 纠错

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

Comments Accepted by NeurIPS 2025 Workshop on Embodied World Models for Decision Making

Chameleon: Adaptive Caching and Scheduling for Many-Adapter LLM Inference Environments

Nikoleta Iliakopoulou, Jovan Stojkovic, Chloe Alverti, Tianyin Xu, Hubertus Franke, Josep Torrellas

专题命中 效率与部署 ：LLM(title,abstract)

Comments Accepted at MICRO '25

Journal ref MICRO 58, 2025, 15

Scalable Quantum State Preparation via Large-Language-Model-Driven Discovery

Qing-Hong Cao, Zong-Yue Hou, Ying-Ying Li, Xiaohui Liu, Zhuo-Yang Song, Liang-Qi Zhang, Shutao Zhang, Ke Zhao

机构 * School of Physics, Peking University（北京大学物理学院） ； Center for High Energy Physics, Peking University（北京大学高能物理中心） ； Institute of High Energy Physics, Chinese Academy of Sciences（中国科学院高能物理研究所） ； Center of Advanced Quantum Studies, School of Physics and Astronomy, Beijing Normal University（北京师范大学物理天文学院先进量子研究中心） ； Key Laboratory of Multi-scale Spin Physics, Ministry of Education, Beijing Normal University（北京师范大学教育部多尺度自旋物理重点实验室） 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 6 + 3 pages, 9 figures. Substantially update the draft, including a study of the 2+1d scalar field theory

Error Correction in Radiology Reports: A Knowledge Distillation-Based Multi-Stage Framework

Jinge Wu, Zhaolong Wu, Ruizhe Li, Tong Chen, Abul Hasan, Yunsoo Kim, Jason P. Y. Cheung, Teng Zhang, Honghan Wu

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

Comments Accepted to AAAI 2026

Know Your Limits: Entropy Estimation Modeling for Compression and Generalization

Benjamin L. Badger, Matthew Neligeorge

机构 * IBM（国际商业机器公司） 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

AgentEvolver: Towards Efficient Self-Evolving Agent System

Yunpeng Zhai, Shuchang Tao, Cheng Chen, Anni Zou, Ziqian Chen, Qingxu Fu, Shinji Mai, Li Yu, Jiaji Deng, Zouying Cao, Zhaoyang Liu, Bolin Ding, Jingren Zhou

机构 * Tongyi Lab（通义实验室） ； 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.CL、cs.AI、cs.LG

Spikingformer: A Key Foundation Model for Spiking Neural Networks

Chenlin Zhou, Liutao Yu, Zhaokun Zhou, Han Zhang, Jiaqi Wang, Huihui Zhou, Zhengyu Ma, Yonghong Tian

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

Comments Accepted by AAAI 2026 (Oral), Code: https://github.com/TheBrainLab/Spikingformer

Persona-Aware Alignment Framework for Personalized Dialogue Generation

Guanrong Li, Xinyu Liu, Zhen Wu, Xinyu Dai

机构 * National Key Laboratory for Novel Software Technology（新型软件技术国家重点实验室） ； Nanjing University（南京大学） 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 Pre-MIT Press publication version

URaG: Unified Retrieval and Generation in Multimodal LLMs for Efficient Long Document Understanding

Yongxin Shi, Jiapeng Wang, Zeyu Shan, Dezhi Peng, Zening Lin, Lianwen Jin

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

Comments Accepted by AAAI 2026 (Oral)

fastbmRAG: A Fast Graph-Based RAG Framework for Efficient Processing of Large-Scale Biomedical Literature

Guofeng Meng, Li Shen, Qiuyan Zhong, Wei Wang, Haizhou Zhang, Xiaozhen Wang

机构 * Changchun GeneScience Pharmaceuticals Co., Ltd.（长春基因科学制药有限公司） 纠错

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

Comments 8 pages, 2 figure, 1 table

Fine-grained Token Allocation Via Operation Pruning for Efficient MLLMs

Aoming Liu, Reuben Tan, Boqing Gong, Bryan A. Plummer

机构 * Boston University（波士顿大学） ； Microsoft Research（微软研究院） 纠错

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

DuoGPT: Training-free Dual Sparsity through Activation-aware Pruning in LLMs

Ruokai Yin, Yuhang Li, Donghyun Lee, Priyadarshini Panda

机构 * Yale University（耶鲁大学） 纠错

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

Comments NeurIPS 2025. The code is available on Github (see hyperlink in the paper)

GridPrune: From "Where to Look" to "What to Select" in Visual Token Pruning for MLLMs

Yuxiang Duan, Ao Li, Yingqin Li, Luyu Li, Pengwei Wang

机构 * Shandong University（山东大学） 纠错

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

VLF-MSC: Vision-Language Feature-Based Multimodal Semantic Communication System

Gwangyeon Ahn, Jiwan Seo, Joonhyuk Kang

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

Comments To appear in the AI4NextG Workshop at NeurIPS 2025

Robust Object Detection with Pseudo Labels from VLMs using Per-Object Co-teaching

Uday Bhaskar, Rishabh Bhattacharya, Avinash Patel, Sarthak Khoche, Praveen Anil Kulkarni, Naresh Manwani

机构 * Machine Learning Lab IIIT Hyderabad（IIIT Hyderabad 机器学习实验室） ； Bosch Global Software Technologies（博世全球软件技术公司） 纠错

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

Generating Physically Stable and Buildable Brick Structures from Text

Ava Pun, Kangle Deng, Ruixuan Liu, Deva Ramanan, Changliu Liu, Jun-Yan Zhu

机构 * Carnegie Mellon University（卡内基梅隆大学） 纠错

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

Comments Project page: https://avalovelace1.github.io/BrickGPT/

Journal ref Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025, pp. 14798-14809

BuddyMoE: Exploiting Expert Redundancy to Accelerate Memory-Constrained Mixture-of-Experts Inference

Yun Wang, Lingyun Yang, Senhao Yu, Yixiao Wang, Ruixing Li, Zhixiang Wei, James Yen, Zhengwei Qi

机构 * Shanghai Jiao Tong University（上海交通大学） 纠错

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

From Tiny Machine Learning to Tiny Deep Learning: A Survey

Shriyank Somvanshi, Md Monzurul Islam, Gaurab Chhetri, Rohit Chakraborty, Mahmuda Sultana Mimi, Sawgat Ahmed Shuvo, Kazi Sifatul Islam, Syed Aaqib Javed, Sharif Ahmed Rafat, Anandi Dutta, Subasish Das

机构 * Texas State University（德克萨斯州立大学） 纠错

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

Journal ref ACM CS 2025

Steering Pretrained Drafters during Speculative Decoding

Frédéric Berdoz, Peer Rheinboldt, Roger Wattenhofer

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

Comments Accepted at AAAI 2026

Succeed or Learn Slowly: Sample Efficient Off-Policy Reinforcement Learning for Mobile App Control

Georgios Papoudakis, Thomas Coste, Jianye Hao, Jun Wang, Kun Shao

机构 * Huawei Noah’s Ark Lab（华为诺亚实验室） ； University College London（伦敦大学学院） 纠错

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

Comments NeurIPS 2025

Remember Me: Bridging the Long-Range Gap in LVLMs with Three-Step Inference-Only Decay Resilience Strategies

Peng Gao, Yujian Lee, Xiaofeng Zhang, Zailong Chen, Hui Zhang

专题命中 效率与部署 ：language model(abstract)

Comments Accepted in AAAI 2026

Leveraging Large Language Models for Identifying Knowledge Components

Canwen Wang, Jionghao Lin, Kenneth R. Koedinger

机构 * Carnegie Mellon University（卡内基梅隆大学） 纠错

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

Comments Accepted as an extended abstract in The International Conference on Learning Analytics & Knowledge (LAK'25) Workshop: LLMs for Qualitative Analysis in Education

Evaluating Prompting Strategies with MedGemma for Medical Order Extraction

Abhinand Balachandran, Bavana Durgapraveen, Gowsikkan Sikkan Sudhagar, Vidhya Varshany J S, Sriram Rajkumar

机构 * EXL Health AI Lab at MEDIQA-OE 2025（EXL健康AI实验室） 纠错

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

Comments 2 figures 7 pages

Feature Quality and Adaptability of Medical Foundation Models: A Comparative Evaluation for Radiographic Classification and Segmentation

Frank Li, Theo Dapamede, Mohammadreza Chavoshi, Young Seok Jeon, Bardia Khosravi, Abdulhameed Dere, Beatrice Brown-Mulry, Rohan Satya Isaac, Aawez Mansuri, Chiratidzo Sanyika, Janice Newsome, Saptarshi Purkayastha, Imon Banerjee, Hari Trivedi, Judy Gichoya

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

Comments 7 figures, 3 tables

SlideBot: A Multi-Agent Framework for Generating Informative, Reliable, Multi-Modal Presentations

Eric Xie, Danielle Waterfield, Michael Kennedy, Aidong Zhang

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

Comments 32 pages, 14 figures, accepted into EAAI 2026

Retrieval-Augmented Generation in Medicine: A Scoping Review of Technical Implementations, Clinical Applications, and Ethical Considerations

Rui Yang, Matthew Yu Heng Wong, Huitao Li, Xin Li, Wentao Zhu, Jingchi Liao, Kunyu Yu, Jonathan Chong Kai Liew, Weihao Xuan, Yingjian Chen, Yuhe Ke, Jasmine Chiat Ling Ong, Douglas Teodoro, Chuan Hong, Daniel Shi Wei Ting, Nan Liu

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

Abn-BLIP: Abnormality-aligned Bootstrapping Language-Image Pre-training for Pulmonary Embolism Diagnosis and Report Generation from CTPA

Zhusi Zhong, Yuli Wang, Lulu Bi, Zhuoqi Ma, Sun Ho Ahn, Christopher J. Mullin, Colin F. Greineder, Michael K. Atalay, Scott Collins, Grayson L. Baird, Cheng Ting Lin, Webster Stayman, Todd M. Kolb, Ihab Kamel, Harrison X. Bai, Zhicheng Jiao

机构 * Department of Diagnostic Imaging, Brown University Health（布朗大学健康中心诊断影像科） ； Warren Alpert Medical School of Brown University（布朗大学沃伦·阿尔珀特医学院） ； Department of Biomedical Engineering, Johns Hopkins University School of Medicine（约翰霍普金斯大学医学院生物医学工程系） ； Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine（约翰霍普金斯大学医学院放射科） ； Johns Hopkins University Division of Pulmonary and Critical Care Medicine（约翰霍普金斯大学肺科与重症医学科） ； Department of Radiology, University of Colorado School of Medicine（科罗拉多大学医学院放射科） 纠错

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

Behavior Modeling for Training-free Building of Private Domain Multi Agent System

Won Ik Cho, Woonghee Han, Kyung Seo Ki, Young Min Kim

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

Comments 10 pages, 1 figure, 2 tables

Predicate-Argument Structure Divergences in Chinese and English Parallel Sentences and their Impact on Language Transfer

Rocco Tripodi, Xiaoyu Liu

机构 * Department of Environmental Sciences, Informatics and Statistics（环境科学、信息学与统计学系） ； Department of Linguistic Sciences And Foreign Literatures（语言科学与外国文学系） 纠错

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

From Static Structures to Ensembles: Studying and Harnessing Protein Structure Tokenization

Zijing Liu, Bin Feng, He Cao, Yu Li

机构 * International Digital Economy Academy Shenzhen, China（国际数字经济学院深圳） 纠错

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

Comments NeurIPS 2025 AI for Science Workshop