语言大模型 / LLM

Show and Tell: Prompt Strategies for Style Control in Multi-Turn LLM Code Generation

Jeremiah Bohr

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

Comments 23 pages, 2 figures, 3 tables. Under review

Sangam: Chiplet-Based DRAM-PIM Accelerator with CXL Integration for LLM Inferencing

Khyati Kiyawat, Zhenxing Fan, Yasas Seneviratne, Morteza Baradaran, Akhil Shekar, Zihan Xia, Mingu Kang, Kevin Skadron

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

DialogGraph-LLM: Graph-Informed LLMs for End-to-End Audio Dialogue Intent Recognition

HongYu Liu, Junxin Li, Changxi Guo, Hao Chen, Yaqian Huang, Yifu Guo, Huan Yang, Lihua Cai

机构 * South China Normal University, Guangzhou, China（华南师范大学） ； Xiamen Rekey Medical Technology Co., LTD, Xiamen, China（厦门瑞康医疗科技有限公司） 纠错

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

Comments 8 pages, 2 figures. To appear in: Proceedings of the 28th European Conference on Artificial Intelligence (ECAI 2025), Frontiers in Artificial Intelligence and Applications, Vol. 413. DOI: 10.3233/FAIA251182

3D-Aware Vision-Language Models Fine-Tuning with Geometric Distillation

Seonho Lee, Jiho Choi, Inha Kang, Jiwook Kim, Junsung Park, Hyunjung Shim

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

LLM enhanced graph inference for long-term disease progression modelling

Tiantian He, An Zhao, Elinor Thompson, Anna Schroder, Ahmed Abdulaal, Frederik Barkhof, Daniel C. Alexander

机构 * Department of Computer Science（计算机科学系） 纠错

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

ELEGANCE: Efficient LLM Guidance for Audio-Visual Target Speech Extraction

Wenxuan Wu, Shuai Wang, Xixin Wu, Helen Meng, Haizhou Li

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

Efficient LLM Context Distillation

Rajesh Upadhayaya, Manish Raj Osti, Zachary Smith, Chritopher Kottmyer

机构 * School of Computer Science, Georgia Institute of Technology（计算机科学学院，佐治亚理工学院） 纠错

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

Wider or Deeper? Scaling LLM Inference-Time Compute with Adaptive Branching Tree Search

Yuichi Inoue, Kou Misaki, Yuki Imajuku, So Kuroki, Taishi Nakamura, Takuya Akiba

机构 * Sakana AI, Japan（日本Sakana AI） 纠错

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

Comments Accepted as a spotlight at NeurIPS 2025

Comparing Computational Pathology Foundation Models using Representational Similarity Analysis

Vaibhav Mishra, William Lotter

机构 * Dana-Farber Cancer Institute（达纳-法伯癌症研究所） ； Brigham and Women’s Hospital & Harvard Medical School（布里奇沃特医院及哈佛医学院） 纠错

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

Comments Proceedings of the 5th Machine Learning for Health (ML4H) Symposium

URDF-Anything: Constructing Articulated Objects with 3D Multimodal Language Model

Zhe Li, Xiang Bai, Jieyu Zhang, Zhuangzhe Wu, Che Xu, Ying Li, Chengkai Hou, Shanghang Zhang

机构 * State Key Laboratory of Multimedia Information Processing, School of Computer Science, Peking University（多媒体信息处理国家重点实验室，计算机学院，北京大学） ； University of Washington（华盛顿大学） 纠错

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

Comments Accepted to the 39th Conference on Neural Information Processing Systems (NeurIPS 2025)

FastLongSpeech: Enhancing Large Speech-Language Models for Efficient Long-Speech Processing

Shoutao Guo, Shaolei Zhang, Qingkai Fang, Zhengrui Ma, Min Zhang, Yang Feng

机构 * Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences (ICT/CAS)（智能信息处理重点实验室，计算技术研究所，中国科学院） ； Key Laboratory of AI Safety, Chinese Academy of Sciences（人工智能安全重点实验室，中国科学院） ； University of Chinese Academy of Sciences, Beijing, China（中国科学院大学，北京，中国） ； School of Future Science and Engineering, Soochow University（未来科学与工程学院，苏州大学） 纠错

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

Comments NeurIPS 2025. The code is at https://github.com/ictnlp/FastLongSpeech. This model is at https://huggingface.co/ICTNLP/FastLongSpeech. The dataset is at https://huggingface.co/datasets/ICTNLP/LongSpeech-Eval

GenSwarm: Scalable Multi-Robot Code-Policy Generation and Deployment via Language Models

Wenkang Ji, Huaben Chen, Mingyang Chen, Guobin Zhu, Lufeng Xu, Roderich Groß, Rui Zhou, Ming Cao, Shiyu Zhao

机构 * Department of Artificial Intelligence, Westlake University（人工智能系，西湖大学） ； School of Automation Science and Electrical Engineering, Beihang University（自动化科学与电气工程学院，北航） ； Institute of Engineering and Technology, University of Groningen（工程与技术学院，格罗宁根大学） ； Department of Computer Science, Technical University of Darmstadt（计算机科学系，德累斯顿技术大学） ； School of Electrical and Electronic Engineering, The University of Sheffield（电子与电气工程学院，谢菲尔德大学） 纠错

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

Comments This article has been accepted for publication in npj Robotics

PRESTO: Preimage-Informed Instruction Optimization for Prompting Black-Box LLMs

Jaewon Chu, Seunghun Lee, Hyunwoo J. Kim

机构 * Korea University（韩国大学） ； KAIST（韩国科学技术院） 纠错

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

Comments Accepted to NeurIPS 2025

LLM-Driven Treatment Effect Estimation Under Inference Time Text Confounding

Yuchen Ma, Dennis Frauen, Jonas Schweisthal, Stefan Feuerriegel

机构 * Munich Center for Machine Learning（慕尼黑机器学习中心） ； LMU Munich（慕尼黑大学） 纠错

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

Token-Level Inference-Time Alignment for Vision-Language Models

Kejia Chen, Jiawen Zhang, Jiacong Hu, Kewei Gao, Jian Lou, Zunlei Feng, Mingli Song

机构 * Zhejiang University（浙江大学） ； Sun Yat-sen University（中山大学） 纠错

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

ViSpec: Accelerating Vision-Language Models with Vision-Aware Speculative Decoding

Jialiang Kang, Han Shu, Wenshuo Li, Yingjie Zhai, Xinghao Chen

机构 * Peking University（北京大学） ； Huawei Noah’s Ark Lab（华为诺亚实验室） 纠错

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

Comments NeurIPS 2025

Towards Greater Leverage: Scaling Laws for Efficient Mixture-of-Experts Language Models

Changxin Tian, Kunlong Chen, Jia Liu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou

机构 * Ant Group（蚂蚁集团） 纠错

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

Cerberus: Real-Time Video Anomaly Detection via Cascaded Vision-Language Models

Yue Zheng, Xiufang Shi, Jiming Chen, Yuanchao Shu

机构 * Zhejiang University of Technology（浙江工业大学） ； Zhejiang University（浙江大学） ； Hangzhou Dianzi University（杭州电子科技大学） 纠错

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

Cascading Adversarial Bias from Injection to Distillation in Language Models

Harsh Chaudhari, Jamie Hayes, Matthew Jagielski, Ilia Shumailov, Milad Nasr, Alina Oprea

机构 * Northeastern University（东北大学） ； Google Deepmind（谷歌DeepMind） 纠错

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

MosaicDiff: Training-free Structural Pruning for Diffusion Model Acceleration Reflecting Pretraining Dynamics

Bowei Guo, Shengkun Tang, Cong Zeng, Zhiqiang Shen

机构 * Mohamed bin Zayed University of Artificial Intelligence（穆罕默德·本·扎耶德人工智能大学） 纠错

专题命中 效率与部署 ：pretraining(title,abstract)；post-training(abstract)；分类 cs.LG

Comments International Conference on Computer Vision, ICCV 2025

Traceability and Accountability in Role-Specialized Multi-Agent LLM Pipelines

Amine Barrak

机构 * Department of Computer Science and Engineering（计算机科学与工程系） ； Oakland University（奥克兰大学） 纠错

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

Journal ref 2025 40th ACM/IEEE International Conference on Automated Software Engineering Workshops

Spotlight Attention: Towards Efficient LLM Generation via Non-linear Hashing-based KV Cache Retrieval

Wenhao Li, Yuxin Zhang, Gen Luo, Haiyuan Wan, Ziyang Gong, Fei Chao, Rongrong Ji

机构 * Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, Xiamen University（中国教育部多媒体可信感知与高效计算重点实验室，厦门大学） ； Shanghai AI Laboratory（上海人工智能实验室） ； Shanghai Jiao Tong University（上海交通大学） 纠错

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

Accelerating Diffusion LLM Inference via Local Determinism Propagation

Fanheng Kong, Jingyuan Zhang, Yahui Liu, Zirui Wu, Yu Tian, Victoria W., Guorui Zhou

机构 * Klear Team, Kuaishou Technology（快手科技） 纠错

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

Comments 21 pages, 4 figures. Under review

Distilling Lightweight Language Models for C/C++ Vulnerabilities

Zhiyuan Wei, Xiaoxuan Yang, Jing Sun, Zijian Zhang

机构 * School of Computer Science and Technology（计算机科学与技术学院） ； Beijing Institute of Technology（北京理工大学） ； School of Cyberspace Science and Technology（网络空间科学与技术学院） ； School of Computer Science（计算机科学学院） ； University of Auckland（奥克兰大学） 纠错

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

Comments 25 pages, 10 figures

LongCodeZip: Compress Long Context for Code Language Models

Yuling Shi, Yichun Qian, Hongyu Zhang, Beijun Shen, Xiaodong Gu

机构 * Shanghai Jiao Tong University（上海交通大学） ； Stanford University（斯坦福大学） ； Chongqing University（重庆大学） 纠错

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

Comments Accepted to ASE 2025. Code available at https://github.com/YerbaPage/LongCodeZip

Fast-dLLM v2: Efficient Block-Diffusion LLM

Chengyue Wu, Hao Zhang, Shuchen Xue, Shizhe Diao, Yonggan Fu, Zhijian Liu, Pavlo Molchanov, Ping Luo, Song Han, Enze Xie

机构 * The University of Hong Kong（香港大学） ； NVIDIA（英伟达） ； MIT（麻省理工学院） 纠错

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

SlimPack: Fine-Grained Asymmetric Packing for Balanced and Efficient Variable-Length LLM Training

Yuliang Liu, Guohao Wu, Shenglong Zhang, Wei Zhang, Qianchao Zhu, Zhouyang Li, Chenyu Wang

机构 * Kling Infra, Kuaishou Technology（Kling Infra，快手科技） 纠错

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

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