语言大模型 / LLM

Experience-Guided Adaptation of Inference-Time Reasoning Strategies

Adam Stein, Matthew Trager, Benjamin Bowman, Michael Kleinman, Aditya Chattopadhyay, Wei Xia, Stefano Soatto

机构 * University of Pennsylvania（宾夕法尼亚大学） ； AWS AI（亚马逊AI） 纠错

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

Comments 29 pages, 5 figures

The Empty Chair: Using LLMs to Raise Missing Perspectives in Policy Deliberations

Suyash Fulay, Dimitra Dimitrakopoulou, Deb Roy

机构 * Center for Constructive Communication（建设性沟通中心） ； MIT（麻省理工学院） 纠错

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

Comments 39th Conference on Neural Information Processing Systems (NeurIPS 2025) Workshop: PersonaLLM: Workshop on LLM Persona Modeling

OpenUS: A Fully Open-Source Foundation Model for Ultrasound Image Analysis via Self-Adaptive Masked Contrastive Learning

Xiaoyu Zheng, Xu Chen, Awais Rauf, Qifan Fu, Benedetta Monosi, Felice Rivellese, Myles J. Lewis, Shaogang Gong, Gregory Slabaugh

机构 * Digital Environment Research Institute (DERI), Queen Mary University of London（女王玛丽大学数字环境研究 institute（DERI）） ； The William Harvey Research Institute, Queen Mary University of London（女王玛丽大学威廉·哈维研究 institute） ； School of Electronic Engineering and Computer Science, Queen Mary University of London（女王玛丽大学电子工程与计算机科学学院） 纠错

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

Adaptive Cache Enhancement for Test-Time Adaptation of Vision-Language Models

Khanh-Binh Nguyen, Phuoc-Nguyen Bui, Hyunseung Choo, Duc Thanh Nguyen

机构 * Deakin University（德克萨斯大学） ； Sungkyunkwan University（成均馆大学） 纠错

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

Comments 12 pages, Under review

SecInfer: Preventing Prompt Injection via Inference-time Scaling

Yupei Liu, Yanting Wang, Yuqi Jia, Jinyuan Jia, Neil Zhenqiang Gong

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

Unsupervised Cycle Detection in Agentic Applications

Felix George, Harshit Kumar, Divya Pathak, Kaustabha Ray, Mudit Verma, Pratibha Moogi

机构 * IBM Research（IBM研究院） 纠错

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

SMART: A Surrogate Model for Predicting Application Runtime in Dragonfly Systems

Xin Wang, Pietro Lodi Rizzini, Sourav Medya, Zhiling Lan

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

Comments Accepted at AAAI 2026

SGLP: A Similarity Guided Fast Layer Partition Pruning for Compressing Large Deep Models

Yuqi Li, Yao Lu, Junhao Dong, Zeyu Dong, Chuanguang Yang, Xin Yin, Yihao Chen, Jianping Gou, Yingli Tian, Tingwen Huang

机构 * Institute of Computing Technology, Chinese Academy of Sciences（中国科学院计算技术研究所） ； Zhejiang University of Technology（浙江工业大学） ； Nanyang Technological University（南洋理工大学） ； Zhejiang University（浙江大学） ； Southwest University（西南大学） ； The City College of New York（纽约城市学院） ； Shenzhen University of Advanced Technology（深圳大学） 纠错

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

Comments 16 pages

Towards Efficient and Reliable AI Through Neuromorphic Principles

Bipin Rajendran, Osvaldo Simeone, Bashir M. Al-Hashimi

机构 * Centre for Intelligent Information Processing Systems, Department of Engineering, King’s College London（智能信息处理系统中心，工程系，伦敦国王学院） 纠错

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

Comments Accepted for publication in Philosophical Transactions A

HARNESS: Human-Agent Risk Navigation and Event Safety System for Proactive Hazard Forecasting in High-Risk DOE Environments

Ran Elgedawy, Sanjay Das, Ethan Seefried, Gavin Wiggins, Ryan Burchfield, Dana Hewit, Sudarshan Srinivasan, Todd Thomas, Prasanna Balaprakash, Tirthankar Ghosal

机构 * Oak Ridge National Laboratory（奥克勒斯国家实验室） 纠错

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

SCRUTINEER: Detecting Logic-Level Usage Violations of Reusable Components in Smart Contracts

Xingshuang Lin, Binbin Zhao, Jinwen Wang, Qinge Xie, Xibin Zhao, Shouling Ji

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

AccKV: Towards Efficient Audio-Video LLMs Inference via Adaptive-Focusing and Cross-Calibration KV Cache Optimization

Zhonghua Jiang, Kui Chen, Kunxi Li, Keting Yin, Yiyun Zhou, Zhaode Wang, Chengfei Lv, Shengyu Zhang

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

MoPE: Mixture of Prompt Experts for Parameter-Efficient and Scalable Multimodal Fusion

Ruixiang Jiang, Lingbo Liu, Changwen Chen

机构 * Department of Computing, The Hong Kong Polytechnic University（计算系，香港理工大学） ； Research Institute of Multiple Agents and Embodied Intelligence, Pengcheng Laboratory（多智能体与具身智能研究院，鹏城实验室） 纠错

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

Comments Accepted to IEEE TMM

Leveraging NTPs for Efficient Hallucination Detection in VLMs

Ofir Azachi, Kfir Eliyahu, Eyal El Ani, Rom Himelstein, Roi Reichart, Yuval Pinter, Nitay Calderon

机构 * Department of Data and Decision Science, Technion - Israel Institute of Technology（数据与决策科学系，技术学院-以色列理工学院） ； Faculty of Computer and Information Science, Ben-Gurion University of the Negev（计算机与信息科学系，贝内-约尔根大学） 纠错

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

Comments Accepted to The First Workshop on Confabulation, Hallucinations, & Overgeneration in Multilingual & Precision-critical Setting - AACL-IJCNLP2025

Test-Time Steering for Lossless Text Compression via Weighted Product of Experts

Qihang Zhang, Muchen Li, Ziao Wang, Renjie Liao, Lele Wang

机构 * University of British Columbia（不列颠哥伦比亚大学） ； Vector Institute for AI（人工智能向量研究所） ； Canada CIFAR AI Chair（加拿大CIFAR人工智能主席） ； University of Michigan（密歇根大学） 纠错

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

Comments 8 pages. Accepted by EMNLP 2025. Code and additional details are available at: https://qihang-zhang.com/Learning-Sys-Blog/2025/10/15/weighted-product-of-experts.html

Journal ref Findings of the Association for Computational Linguistics: EMNLP 2025, pages 2076-2088, Suzhou, China, 2025

DiffPro: Joint Timestep and Layer-Wise Precision Optimization for Efficient Diffusion Inference

Farhana Amin, Sabiha Afroz, Kanchon Gharami, Mona Moghadampanah, Dimitrios S. Nikolopoulos

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

Low-Bit, High-Fidelity: Optimal Transport Quantization for Flow Matching

Dara Varam, Diaa A. Abuhani, Imran Zualkernan, Raghad AlDamani, Lujain Khalil

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

Comments 12 pages, 8 figures

Experiences from Benchmarking Vision-Language-Action Models for Robotic Manipulation

Yihao Zhang, Yuankai Qi, Xi Zheng

机构 * Macquarie University（麦考瑞大学） 纠错

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

Human-Corrected Labels Learning: Enhancing Labels Quality via Human Correction of VLMs Discrepancies

Zhongnian Li, Lan Chen, Yixin Xu, Shi Xu, Xinzheng Xu

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

Comments 11 pages, 3 figures

FastDriveVLA: Efficient End-to-End Driving via Plug-and-Play Reconstruction-based Token Pruning

Jiajun Cao, Qizhe Zhang, Peidong Jia, Xuhui Zhao, Bo Lan, Xiaoan Zhang, Zhuo Li, Xiaobao Wei, Sixiang Chen, Liyun Li, Xianming Liu, Ming Lu, Yang Wang, Shanghang Zhang

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

Comments Accepted by AAAI 2026

NetGent: Agent-Based Automation of Network Application Workflows

Jaber Daneshamooz, Eugene Vuong, Laasya Koduru, Sanjay Chandrasekaran, Arpit Gupta

机构 * University of California Santa Barbara（加州大学圣巴巴拉分校） ； California State University, East Bay（加州州立大学东湾分校） 纠错

专题命中 效率与部署 ：LLM(abstract)；分类 cs.AI

Zero-Shot Temporal Interaction Localization for Egocentric Videos

Erhang Zhang, Junyi Ma, Yin-Dong Zheng, Yixuan Zhou, Hesheng Wang

机构 * IRMV Lab, the Department of Automation, Shanghai Jiao Tong University（IRMV实验室，自动化系，上海交通大学） 纠错

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

Comments Accepted to IROS 2025

A Comparison of Lightweight Deep Learning Models for Particulate-Matter Nowcasting in the Indian Subcontinent & Surrounding Regions

Ansh Kushwaha, Kaushik Gopalan

机构 * FLAME University（FLAME大学） ； Centre for Interdisciplinary Artificial Intelligence (CAI)（跨学科人工智能中心） ； School of Computing and Data Sciences（计算与数据科学学院） 纠错

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

PhaseWin Search Framework Enable Efficient Object-Level Interpretation

Zihan Gu, Ruoyu Chen, Junchi Zhang, Yue Hu, Hua Zhang, Xiaochun Cao

机构 * Institute of Information Engineering, Chinese Academy of Sciences（中国科学院信息工程研究所） ； School of Cyber Security, University of Chinese Academy of Sciences（中国科学院大学网络安全学院） ； School of Mathematical Sciences, Fudan University（复旦大学数学学院） ； School of Cyber Science and Technology, Sun Yat-sen University（中山大学网络科学与技术学院） 纠错

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

OmniVGGT: Omni-Modality Driven Visual Geometry Grounded Transformer

Haosong Peng, Hao Li, Yalun Dai, Yushi Lan, Yihang Luo, Tianyu Qi, Zhengshen Zhang, Yufeng Zhan, Junfei Zhang, Wenchao Xu, Ziwei Liu

机构 * HKUST（香港科技大学） ； NTU（国立台湾大学） ； SYSU（南方科技大学） ； NUS（国立新加坡大学） ； Alibaba Group（阿里巴巴集团） 纠错

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

Comments Project Page: https://livioni.github.io/OmniVGGT-official/

Evaluating Open-Weight Large Language Models for Structured Data Extraction from Narrative Medical Reports Across Multiple Use Cases and Languages

Douwe J. Spaanderman, Karthik Prathaban, Petr Zelina, Kaouther Mouheb, Lukáš Hejtmánek, Matthew Marzetti, Antonius W. Schurink, Damian Chan, Ruben Niemantsverdriet, Frederik Hartmann, Zhen Qian, Maarten G. J. Thomeer, Petr Holub, Farhan Akram, Frank J. Wolters, Meike W. Vernooij, Cornelis Verhoef, Esther E. Bron, Vít Nováček, Dirk J. Grünhagen, Wiro J. Niessen, Martijn P. A. Starmans, Stefan Klein

机构 * Department of Radiology and Nuclear Medicine, Erasmus MC Cancer Institute, University Medical Center Rotterdam, the Netherlands（荷兰埃因霍温麦斯特大学医学中心放射科和核医学科，埃因霍温麦斯特癌症研究所） ； Department of Pathology and Clinical Bioinformatics, Erasmus MC Cancer Institute, University Medical Center Rotterdam, the Netherlands（荷兰埃因霍温麦斯特大学医学中心病理学与临床生物信息学科，埃因霍温麦斯特癌症研究所） ； Faculty of Informatics, Masaryk University（马萨里克大学信息学院） ； Institute of Computer Science, Masaryk University（马萨里克大学计算机科学研究所） ； Department of Medical Physics, Leeds Teaching Hospitals NHS Trust, UK（英国利兹教学医院国家卫生服务信托基金，利兹大学生物医学研究中心） ； Leeds Biomedical Research Centre, University of Leeds, UK（利兹大学生物医学成像科，利兹，英国） ； Biomedical Imaging, University of Leeds, Leeds, United Kingdom（荷兰埃因霍温麦斯特大学医学中心外科肿瘤学和胃肠外科科，埃因霍温麦斯特癌症研究所） ； Department of Surgical Oncology and Gastrointestinal Surgery, Erasmus MC Cancer Institute, University Medical Center Rotterdam, the Netherlands（奥地利格拉茨BBMRI-ERIC机构） ； BBMRI-ERIC, Graz, Austria（荷兰埃因霍温麦斯特大学医学中心流行病学系，罗特万，荷兰） ； Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands（马萨里克纪念癌症研究所生物信息学研究组） ； Bioinformatics Research Group, Masaryk Memorial Cancer Institute 纠错

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

Large language models in materials science and the need for open-source approaches

Fengxu Yang, Weitong Chen, Jack D. Evans

机构 * School of Physics, Chemistry and Earth Sciences, The University of Adelaide（物理、化学和地球科学学院，阿德莱德大学） ； School of Computer and Mathematical Sciences, The University of Adelaide（计算机与数学科学学院，阿德莱德大学） 纠错

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

Comments 16 pages, 5 figures

RAG-Enhanced Collaborative LLM Agents for Drug Discovery

Namkyeong Lee, Edward De Brouwer, Ehsan Hajiramezanali, Tommaso Biancalani, Chanyoung Park, Gabriele Scalia

机构 * Genentech（基因泰克） 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、cs.LG

Comments Machine Learning, Drug Discovery

Navigating Through Paper Flood: Advancing LLM-based Paper Evaluation through Domain-Aware Retrieval and Latent Reasoning

Wuqiang Zheng, Yiyan Xu, Xinyu Lin, Chongming Gao, Wenjie Wang, Fuli Feng

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 for publication in AAAI'26

Utilizing LLMs for Industrial Process Automation: A Case Study on Modifying RAPID Programs

Salim Fares, Steffen Herbold

机构 * University of Passau（帕绍大学） 纠错

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

Comments Submitted to the International Conference on Software Engineering (ICSE) track Software Engineering in Practice (SEIP) 2026