语言大模型 / LLM

Pearl: A Multimodal Culturally-Aware Arabic Instruction Dataset

Fakhraddin Alwajih, Samar M. Magdy, Abdellah El Mekki, Omer Nacar, Youssef Nafea, Safaa Taher Abdelfadil, Abdulfattah Mohammed Yahya, Hamzah Luqman, Nada Almarwani, Samah Aloufi, Baraah Qawasmen, Houdaifa Atou, Serry Sibaee, Hamzah A. Alsayadi, Walid Al-Dhabyani, Maged S. Al-shaibani, Aya El Aatar, Nour Qandos, Rahaf Alhamouri, Samar Ahmad, Mohammed Anwar Al-Ghrawi, Aminetou Yacoub, Ruwa AbuHweidi, Vatimetou Mohamed Lemin, Reem Abdel-Salam, Ahlam Bashiti, Aisha Alansari, Ahmed Ashraf, Nora Alturayeif, Alcides Alcoba Inciarte, Adel Ammar, Abdelrahim A. Elmadany, Mohamedou Cheikh Tourad, Ismail Berrada, Mustafa Jarrar, Shady Shehata, Muhammad Abdul-Mageed

专题命中 评测与基准 ：language model(abstract)；分类 cs.CL

Comments https://github.com/UBC-NLP/pearl

GUI Agents: A Survey

Dang Nguyen, Jian Chen, Yu Wang, Gang Wu, Namyong Park, Zhengmian Hu, Hanjia Lyu, Junda Wu, Ryan Aponte, Yu Xia, Xintong Li, Jing Shi, Hongjie Chen, Viet Dac Lai, Zhouhang Xie, Sungchul Kim, Ruiyi Zhang, Tong Yu, Mehrab Tanjim, Nesreen K. Ahmed, Puneet Mathur, Seunghyun Yoon, Lina Yao, Branislav Kveton, Jihyung Kil, Thien Huu Nguyen, Trung Bui, Tianyi Zhou, Ryan A. Rossi, Franck Dernoncourt

专题命中 评测与基准 ：foundation model(abstract)；分类 cs.AI

Comments Accepted to Findings of ACL 2025

IA-VLA: Input Augmentation for Vision-Language-Action models in settings with semantically complex tasks

Eric Hannus, Miika Malin, Tran Nguyen Le, Ville Kyrki

机构 * Intelligent Robotics Group at the Department of Electrical Engineering and Automation, School of Electrical Engineering, Aalto University（Aalto大学电气工程学院电气工程与自动化系智能机器人组） ； Biomimetics and Intelligent Systems Group at the Faculty of Information Technology and Electrical Engineering, University of Oulu（奥卢大学信息科技与电气工程学院仿生学与智能系统组） ； Section of Mechanical Technology at the Department of Engineering Technology and Didactics, Technical University of Denmark（丹麦技术大学工程技术与教学系机械技术部门） 纠错

专题命中 评测与基准 ：language model(abstract)

Comments Under review for ICRA 2026

LaVA-Man: Learning Visual Action Representations for Robot Manipulation

Chaoran Zhu, Hengyi Wang, Yik Lung Pang, Changjae Oh

机构 * Queen Mary University of London（伦敦女王学院） ； University College London（伦敦大学学院） 纠错

专题命中 评测与基准 ：language model(abstract)

FindingDory: A Benchmark to Evaluate Memory in Embodied Agents

Karmesh Yadav, Yusuf Ali, Gunshi Gupta, Yarin Gal, Zsolt Kira

机构 * Georgia Tech（佐治亚理工学院） ； University of Oxford（牛津大学） 纠错

专题命中 评测与基准 ：language model(abstract)

Comments Our dataset and code can be found at: https://findingdory-benchmark.github.io/

From Static to Dynamic: a Survey of Topology-Aware Perception in Autonomous Driving

Yixiao Chen, Ruining Yang, Xin Chen, Jia He, Dongliang Xu, Yue Yao

机构 * Sems ； Shandong University（山东大学） 纠错

专题命中 评测与基准 ：language model(abstract)

Comments 13 pages, 3 figures

Taming Variability: Randomized and Bootstrapped Conformal Risk Control for LLMs

Lingyou Pang, Lei Huang, Jianyu Lin, Tianyu Wang, Alexander Aue, Carey E. Priebe

专题命中 评测与基准 ：LLM(abstract)

Comments 34 pages; 4 figures; 9 tables; includes appendices

Sanitize Your Responses: Mitigating Privacy Leakage in Large Language Models

Wenjie Fu, Huandong Wang, Junyao Gao, Guoan Wan, Tao Jiang

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

Rethinking Large Language Model Distillation: A Constrained Markov Decision Process Perspective

Matthieu Zimmer, Xiaotong Ji, Tu Nguyen, Haitham Bou Ammar

机构 * Huawei Noah’s Ark Lab（华为诺亚实验室） ； Huawei R&D Munich（华为慕尼黑研发部） ； UCL Centre for Artificial Intelligence（伦敦大学学院人工智能中心） 纠错

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

ORPO-Distill: Mixed-Policy Preference Optimization for Cross-Architecture LLM Distillation

Aasheesh Singh, Vishal Vaddina, Dagnachew Birru

机构 * Phi Labs, Quantiphi（Phi Labs，Quantiphi） 纠错

专题命中 效率与部署 ：LLM(title,abstract)；preference optimization(title,abstract)；分类 cs.CL、cs.AI、cs.LG

Comments Accepted at NeurIPS 2025, Efficient Reasoning Workshop

VQToken: Neural Discrete Token Representation Learning for Extreme Token Reduction in Video Large Language Models

Haichao Zhang, Yun Fu

机构 * Northeastern University（东北大学） 纠错

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

Comments Proceedings of the 38th Conference on Neural Information Processing Systems (NeurIPS 2025)

Disaggregated Prefill and Decoding Inference System for Large Language Model Serving on Multi-Vendor GPUs

Xing Chen, Rong Shi, Lu Zhao, Lingbin Wang, Xiao Jin, Yueqiang Chen, Hongfeng Sun

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

Improving constraint-based discovery with robust propagation and reliable LLM priors

Ruiqi Lyu, Alistair Turcan, Martin Jinye Zhang, Bryan Wilder

机构 * School of Computer Science（计算机科学系） ； Carnegie Mellon University（卡内基梅隆大学） 纠错

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

Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration

Yang Zhang, Shixin Yang, Chenjia Bai, Fei Wu, Xiu Li, Zhen Wang, Xuelong Li

机构 * Tsinghua University（清华大学） ； Northwestern Polytechnical University（西北工业大学） ； Institute of Artificial Intelligence (TeleAI)（人工智能研究所） ； China Telecom（中国电信） ； Zhejiang University（浙江大学） ； Shenzhen Research Institute of Northwestern Polytechnical University（西北工业大学深圳研究院） 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、cs.AI、cs.LG

Comments accepted by ACL'2025

OnPrem.LLM: A Privacy-Conscious Document Intelligence Toolkit

Arun S. Maiya

机构 * Institute for Defense Analyses（国防分析研究所） 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、cs.AI、cs.LG

Comments 6 pages

EOE: Evolutionary Optimization of Experts for Training Language Models

Yingshi Chen

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

Comments 6 pages, 2 figures

Are You Getting What You Pay For? Auditing Model Substitution in LLM APIs

Will Cai, Tianneng Shi, Xuandong Zhao, Dawn Song

机构 * University of California, Berkeley（加州大学伯克利分校） 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、cs.LG

Scaling LLM Test-Time Compute with Mobile NPU on Smartphones

Zixu Hao, Jianyu Wei, Tuowei Wang, Minxing Huang, Huiqiang Jiang, Shiqi Jiang, Ting Cao, Ju Ren

机构 * Tsinghua University（清华大学） ； University of Science and Technology of China（中国科学技术大学） ； Microsoft Research（微软研究院） ； Institute for AI Industry Research (AIR), Tsinghua University（人工智能产业研究院（AIR），清华大学） 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

Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains

Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma

机构 * Department of Computer Science, Iowa State University, Ames, IA, USA（计算机科学系，爱荷华州立大学） ； Department of Civil, Construction and Environmental Engineering, Iowa State University, Ames, IA, USA（土木、建设与环境工程系，爱荷华州立大学） 纠错

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

Journal ref Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing

SentenceKV: Efficient LLM Inference via Sentence-Level Semantic KV Caching

Yuxuan Zhu, Ali Falahati, David H. Yang, Mohammad Mohammadi Amiri

机构 * Department of Computer Science Rensselaer Polytechnic Institute（计算机科学系，罗切斯特理工学院） ； Department of Computer Science University of Waterloo（计算机科学系，滑铁卢大学） 纠错

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

Efficient Fine-Grained GPU Performance Modeling for Distributed Deep Learning of LLM

Biyao Zhang, Mingkai Zheng, Debargha Ganguly, Xuecen Zhang, Vikash Singh, Vipin Chaudhary, Zhao Zhang

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

Parse Trees Guided LLM Prompt Compression

Wenhao Mao, Chengbin Hou, Tianyu Zhang, Xinyu Lin, Ke Tang, Hairong Lv

机构 * Ministry of Education Key Laboratory of Bioinformatics, BNRIST Bioinformatics Division, Department of Automation, Tsinghua University（教育部生物信息学重点实验室、BNRIST生物信息学分部、自动化系、清华大学） ； School of Computing and Artificial Intelligence, Fuyao University of Science and Technology（计算与人工智能学院、福耀科技大学） ； Department of Computer Science and Engineering, Southern University of Science and Technology（计算机科学与工程系、南方科技大学） 纠错

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

Comments Accepted by IEEE TPAMI

FM-FoG: A Real-Time Foundation Model-based Wearable System for Freezing-of-Gait Mitigation

Chuntian Chi, John Clapham, Leslie Cloud, Ingrid Pretzer-Aboff, GinaMari Blackwell, Huajie Shao, Gang Zhou

机构 * Department of Computer Science, William \& Mary Virginia USA ； Department of Neurology, Virginia Commonwealth University Virginia USA ； School of Nursing, Virginia Commonwealth University Virginia USA ； Department of Computer Science, William \& Mary ； Department of Neurology, Virginia Commonwealth University ； School of Nursing, Virginia Commonwealth University 纠错

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

Comments This is a preprint version, 12 pages, 7 figures, 8 tables

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Junbo Niu, Zheng Liu, Zhuangcheng Gu, Bin Wang, Linke Ouyang, Zhiyuan Zhao, Tao Chu, Tianyao He, Fan Wu, Qintong Zhang, Zhenjiang Jin, Guang Liang, Rui Zhang, Wenzheng Zhang, Yuan Qu, Zhifei Ren, Yuefeng Sun, Yuanhong Zheng, Dongsheng Ma, Zirui Tang, Boyu Niu, Ziyang Miao, Hejun Dong, Siyi Qian, Junyuan Zhang, Jingzhou Chen, Fangdong Wang, Xiaomeng Zhao, Liqun Wei, Wei Li, Shasha Wang, Ruiliang Xu, Yuanyuan Cao, Lu Chen, Qianqian Wu, Huaiyu Gu, Lindong Lu, Keming Wang, Dechen Lin, Guanlin Shen, Xuanhe Zhou, Linfeng Zhang, Yuhang Zang, Xiaoyi Dong, Jiaqi Wang, Bo Zhang, Lei Bai, Pei Chu, Weijia Li, Jiang Wu, Lijun Wu, Zhenxiang Li, Guangyu Wang, Zhongying Tu, Chao Xu, Kai Chen, Yu Qiao, Bowen Zhou, Dahua Lin, Wentao Zhang, Conghui He

机构 * Shanghai Artificial Intelligence Laboratory（上海人工智能实验室） ； Peking University（北京大学） ； Shanghai Jiao Tong University（上海交通大学） 纠错

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

Comments Technical Report; GitHub Repo: https://github.com/opendatalab/MinerU Hugging Face Model: https://huggingface.co/opendatalab/MinerU2.5-2509-1.2B Hugging Face Demo: https://huggingface.co/spaces/opendatalab/MinerU

Beyond Token Limits: Assessing Language Model Performance on Long Text Classification

Miklós Sebők, Viktor Kovács, Martin Bánóczy, Daniel Møller Eriksen, Nathalie Neptune, Philippe Roussille

机构 * HUN-REN Centre for Social Sciences（HUN-REN社会科学中心） ； Aarhus University（奥胡斯大学） ； Institut de Recherche en Informatique de Toulouse（图卢兹信息研究所） ； iL Ingénieurs（3iL工程师） 纠错

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

READER: Retrieval-Assisted Drafter for Efficient LLM Inference

Maxim Divilkovskiy, Vitaly Malygin, Sergey Zlobin, Stanislav Ilyushin, Sultan Isali, Vasily Kalugin, Nuriza Aitassova, Fei Yi, Weidi Zeng

机构 * Huawei Technologies Co., Ltd.（华为技术有限公司） 纠错

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

End-to-End On-Device Quantization-Aware Training for LLMs at Inference Cost

Qitao Tan, Xiaoying Song, Jin Lu, Guoming Li, Jun Liu, Lingzi Hong, Caiwen Ding, Jundong Li, Xiaoming Zhai, Shaoyi Huang, Wei Niu, Geng Yuan

机构 * University of Georgia（佐治亚大学） ； University of North Texas（北卡罗来纳州立大学） ； Northeastern University（东北大学） ； University of Minnesota（明尼苏达大学） ； University of Virginia（弗吉尼亚大学） ； Stevens Institute of Technology（史蒂文斯理工学院） 纠错

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

Jet-Nemotron: Efficient Language Model with Post Neural Architecture Search

Yuxian Gu, Qinghao Hu, Shang Yang, Haocheng Xi, Junyu Chen, Song Han, Han Cai

机构 * NVIDIA 纠错

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

Comments NeurIPS 2025

RIV: Recursive Introspection Mask Diffusion Vision Language Model

YuQian Li, Limeng Qiao, Lin Ma

机构 * Meituan（美团） 纠错

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

Revisiting Vulnerability Patch Localization: An Empirical Study and LLM-Based Solution

Haoran Xu, Chen Zhi, Junxiao Han, Xinkui Zhao, Jianwei Yin, Shuiguang Deng

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