语言大模型 / LLM

Parallel Loop Transformer for Efficient Test-Time Computation Scaling

Bohong Wu, Mengzhao Chen, Xiang Luo, Shen Yan, Qifan Yu, Fan Xia, Tianqi Zhang, Hongrui Zhan, Zheng Zhong, Xun Zhou, Siyuan Qiao, Xingyan Bin

机构 * ByteDance Seed（字节跳动种子） 纠错

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

FOCUS: Internal MLLM Representations for Efficient Fine-Grained Visual Question Answering

Liangyu Zhong, Fabio Rosenthal, Joachim Sicking, Fabian Hüger, Thorsten Bagdonat, Hanno Gottschalk, Leo Schwinn

机构 * Technical University of Berlin（柏林技术大学） ； Technical University of Munich（慕尼黑技术大学） ； CARIAD SE ； Volkswagen AG（大众集团） 纠错

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

Comments Accepted by NeurIPS 2025 - main track. Project page: https://focus-mllm-vqa.github.io/

Reinforcement Learning Teachers of Test Time Scaling

Edoardo Cetin, Tianyu Zhao, Yujin Tang

机构 * Sakana AI, Japan（日本Sakana AI） 纠错

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

Comments Accepted at NeurIPS 2025

DIRC-RAG: Accelerating Edge RAG with Robust High-Density and High-Loading-Bandwidth Digital In-ReRAM Computation

Kunming Shao, Zhipeng Liao, Jiangnan Yu, Liang Zhao, Qiwei Li, Xijie Huang, Jingyu He, Fengshi Tian, Yi Zou, Xiaomeng Wang, Tim Kwang-Ting Cheng, Chi-Ying Tsui

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

Comments Accepted by 2025 IEEE/ACM ISLPED

MoEntwine: Unleashing the Potential of Wafer-scale Chips for Large-scale Expert Parallel Inference

Xinru Tang, Jingxiang Hou, Dingcheng Jiang, Taiquan Wei, Jiaxin Liu, Jinyi Deng, Huizheng Wang, Qize Yang, Haoran Shang, Chao Li, Yang Hu, Shouyi Yin

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

Fortytwo: Swarm Inference with Peer-Ranked Consensus

Vladyslav Larin, Ihor Naumenko, Aleksei Ivashov, Ivan Nikitin, Alexander Firsov

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

GReF: A Unified Generative Framework for Efficient Reranking via Ordered Multi-token Prediction

Zhijie Lin, Zhuofeng Li, Chenglei Dai, Wentian Bao, Shuai Lin, Enyun Yu, Haoxiang Zhang, Liang Zhao

机构 * Shanghai University（上海大学） ； Emory University（埃默里大学） 纠错

专题命中 效率与部署 ：post-training(abstract)；分类 cs.AI、cs.LG

Comments Accepted by CIKM 2025

SCOUT: A Lightweight Framework for Scenario Coverage Assessment in Autonomous Driving

Anil Yildiz, Sarah M. Thornton, Carl Hildebrandt, Sreeja Roy-Singh, Mykel J. Kochenderfer

机构 * Department of Aeronautics and Astronautics, Stanford University（航空航天工程系，斯坦福大学） ； Nuro Inc.（Nuro公司） 纠错

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

BugPilot: Complex Bug Generation for Efficient Learning of SWE Skills

Atharv Sonwane, Isadora White, Hyunji Lee, Matheus Pereira, Lucas Caccia, Minseon Kim, Zhengyan Shi, Chinmay Singh, Alessandro Sordoni, Marc-Alexandre Côté, Xingdi Yuan

机构 * Cornell University（康奈尔大学） ； University of California San Diego（加州大学圣地亚哥分校） ； University of North Carolina at Chapel Hill（北卡罗来纳大学教堂山分校） ； Microsoft Research（微软研究院） 纠错

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

ASGO: Adaptive Structured Gradient Optimization

Kang An, Yuxing Liu, Rui Pan, Yi Ren, Shiqian Ma, Donald Goldfarb, Tong Zhang

机构 * Rice University（里士大学） ； University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） ； Meta Platforms, Inc.（Meta平台公司） ； Columbia University（哥伦比亚大学） 纠错

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

Comments 39 pages

Efficient License Plate Recognition via Pseudo-Labeled Supervision with Grounding DINO and YOLOv8

Zahra Ebrahimi Vargoorani, Amir Mohammad Ghoreyshi, Ching Yee Suen

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

Comments 6 pages, 8 figures. Presented at 2025 IEEE International Workshop on Machine Learning for Signal Processing (MLSP), August 31 - September 3, 2025, Istanbul, Turkey

ESCA: Enabling Seamless Codec Avatar Execution through Algorithm and Hardware Co-Optimization for Virtual Reality

Mingzhi Zhu, Ding Shang, Sai Qian Zhang

机构 * Tandon School of Engineering, New York University（纽约大学工程学院） ； Courant Institute of Mathematical Sciences, New York University（纽约大学数学科学学院） ； Rensselaer Polytechnic Institute（拉特格斯理工学院） 纠错

专题命中 效率与部署 ：post-training(abstract)；分类 cs.AI

Lifelong Whole Slide Image Analysis: Online Vision-Language Adaptation and Past-to-Present Gradient Distillation

Doanh C. Bui, Hoai Luan Pham, Vu Trung Duong Le, Tuan Hai Vu, Van Duy Tran, Khang Nguyen, Yasuhiko Nakashima

机构 * Nara Institute of Science and Technology（奈良科学技术大学） ； University of Information Technology, Ho Chi Minh city Vietnam National University（信息技术大学） 纠错

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

Comments IEEE Access (2025)

ML-Based Preamble Collision Detection in the Random Access Procedure of Cellular IoT Networks

Giancarlo Maldonado Cardenas, Diana C. Gonzalez, Judy C. Guevara, Carlos A. Astudillo, Nelson L. S. da Fonseca

专题命中 效率与部署 ：post-training(abstract)

NanoVLA: Routing Decoupled Vision-Language Understanding for Nano-sized Generalist Robotic Policies

Jiahong Chen, Jing Wang, Long Chen, Chuwei Cai, Jinghui Lu

机构 * University of British Columbia（不列颠哥伦比亚大学） ； University of Alberta（阿尔伯塔大学） ； Xiaomi EV（小米电动车） ； Northeastern University（东北大学） 纠错

专题命中 效率与部署 ：language model(abstract)

Pixel-Perfect Depth with Semantics-Prompted Diffusion Transformers

Gangwei Xu, Haotong Lin, Hongcheng Luo, Xianqi Wang, Jingfeng Yao, Lianghui Zhu, Yuechuan Pu, Cheng Chi, Haiyang Sun, Bing Wang, Guang Chen, Hangjun Ye, Sida Peng, Xin Yang

机构 * Huazhong University of Science and Technology（华中科技大学） ； Xiaomi EV（小米电动车） ； Zhejiang University（浙江大学） 纠错

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

Comments NeurIPS 2025. Project page: https://pixel-perfect-depth.github.io/

Topic-aware Large Language Models for Summarizing the Lived Healthcare Experiences Described in Health Stories

Maneesh Bilalpur, Megan Hamm, Young Ji Lee, Natasha Norman, Kathleen M. McTigue, Yanshan Wang

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

GAPMAP: Mapping Scientific Knowledge Gaps in Biomedical Literature Using Large Language Models

Nourah M Salem, Elizabeth White, Michael Bada, Lawrence Hunter

机构 * University of Colorado, Anschutz（科罗拉多大学安舒茨分校） ； University of Chicago（芝加哥大学） 纠错

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

Who You Are Matters: Bridging Topics and Social Roles via LLM-Enhanced Logical Recommendation

Qing Yu, Xiaobei Wang, Shuchang Liu, Yandong Bai, Xiaoyu Yang, Xueliang Wang, Chang Meng, Shanshan Wu, Hailan Yang, Huihui Xiao, Xiang Li, Fan Yang, Xiaoqiang Feng, Lantao Hu, Han Li, Kun Gai, Lixin Zou

机构 * Wuhan University（武汉大学） ； Kuaishou Technology（快手科技） 纠错

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

Comments to be published in NeurIPS 2025

Depth and Autonomy: A Framework for Evaluating LLM Applications in Social Science Research

Ali Sanaei, Ali Rajabzadeh

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

Comments Presented at the Annual Meeting of the American Political Science Association, Vancouver, BC, September 11--14 2025

AMAS: Adaptively Determining Communication Topology for LLM-based Multi-Agent System

Hui Yi Leong, Yuheng Li, Yuqing Wu, Wenwen Ouyang, Wei Zhu, Jiechao Gao, Wei Han

机构 * Johns Hopkins University（约翰霍普金斯大学） ； Carnegie Mellon University（卡内基梅隆大学） ； University of Hong Kong（香港大学） ； Stanford University（斯坦福大学） 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 by EMNLP-2025

NetEcho: From Real-World Streaming Side-Channels to Full LLM Conversation Recovery

Zheng Zhang, Guanlong Wu, Sen Deng, Shuai Wang, Yinqian Zhang

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

HyMiRec: A Hybrid Multi-interest Learning Framework for LLM-based Sequential Recommendation

Jingyi Zhou, Cheng Chen, Kai Zuo, Manjie Xu, Zhendong Fu, Yibo Chen, Xu Tang, Yao Hu

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

Fine-Tuned Language Models for Domain-Specific Summarization and Tagging

Jun Wang, Fuming Lin, Yuyu Chen

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

Towards Blind Bitstream-corrupted Video Recovery via a Visual Foundation Model-driven Framework

Tianyi Liu, Kejun Wu, Chen Cai, Yi Wang, Kim-Hui Yap, Lap-Pui Chau

机构 * School of EEE, Nanyang Technological University（南洋理工大学电子工程系） ； School of EIC, Huazhong University of Science and Technology（华中科技大学电子信息学院） ； Dept. of EEE, The Hong Kong Polytechnic University（香港理工大学电子工程系） 纠错

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

Comments 10 pages, 5 figures, accepted by ACMMM 2025

Journal ref Proceedings of the 33rd ACM International Conference on Multimedia, 2025

VDSAgents: A PCS-Guided Multi-Agent System for Veridical Data Science Automation

Yunxuan Jiang, Silan Hu, Xiaoning Wang, Yuanyuan Zhang, Xiangyu Chang

机构 * School of Management, Xi’an Jiaotong University（西安交通大学管理学院） ； School of Computing, National University of Singapore（新加坡国立大学计算机学院） ； School of Data Science and Media Intelligence, Communication University of China（中国传媒大学数据科学与媒体智能学院） ； Beijing Baixingkefu Network Technology Co., Ltd.（北京百星科技网络技术有限公司） 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 29 pages, 6 figures. Yunxuan Jiang and Silan Hu contributed equally. Code available at https://github.com/fengzer/VDSAgents . Submitted to Stat (manuscript ID: STAT-25-0222.R1, under review)

AgentCyTE: Leveraging Agentic AI to Generate Cybersecurity Training & Experimentation Scenarios

Ana M. Rodriguez, Jaime Acosta, Anantaa Kotal, Aritran Piplai

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

Towards Human-AI Synergy in Requirements Engineering: A Framework and Preliminary Study

Mateen Ahmed Abbasi, Petri Ihantola, Tommi Mikkonen, Niko Mäkitalo

机构 * Faculty of Information Technology, University of Jyväskylä（信息技术学院，于韦斯屈耶大学） 纠错

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

Comments Accepted at the 2025 Sixth International Conference on Intelligent Data Science Technologies and Applications (IDSTA 2025),8 pages, 4 figures. Published in IEEE

Journal ref 2025 Sixth International Conference on Intelligent Data Science Technologies and Applications (IDSTA 2025), IEEE

Cross Learning between Electronic Structure Theories for Unifying Molecular, Surface, and Inorganic Crystal Foundation Force Fields

Ilyes Batatia, Chen Lin, Joseph Hart, Elliott Kasoar, Alin M. Elena, Sam Walton Norwood, Thomas Wolf, Gábor Csányi

专题命中 领域大模型 ：post-training(abstract)

PSScreen V2: Partially Supervised Multiple Retinal Disease Screening

Boyi Zheng, Yalin Zheng, Hrvoje Bogunović, Qing Liu

机构 * Center for Machine Vision and Signal Analysis (CMVS)（机器视觉与信号分析中心） ； University of Oulu（奥卢大学） ； Department of Eye and Vision Science（眼科学与视觉科学系） ； University of Liverpool（利物浦大学） ； Center for Medical Data Science（医学数据科学中心） ； Medical University of Vienna（维也纳医学大学） 纠错

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