语言大模型 / LLM

Enhancing Speech-to-Speech Dialogue Modeling with End-to-End Retrieval-Augmented Generation

Pengchao Feng, Ziyang Ma, Wenxi Chen, Yao Li, Sheng Wang, Kai Yu, Xie Chen

机构 * MoE Key Lab of Artificial Intelligence（人工智能增强实验室） ； Jiangsu Key Lab of Language Computing（江苏语言计算重点实验室） ； X-LANCE Lab（X-LANCE实验室） ； School of Computer Science, Shanghai Jiao Tong University（上海交通大学计算机科学学院） ； Shanghai Innovation Institute（上海创新研究院） ； Shanghai Aviation Electric Co., Ltd（上海航空电器有限公司） 纠错

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

Comments Accepted to EMNLP 2025 Findings

Journal ref Findings of the Association for Computational Linguistics: EMNLP 2025, pages 4499-4507

Parallel Sampling via Autospeculation

Nima Anari, Carlo Baronio, CJ Chen, Alireza Haqi, Frederic Koehler, Anqi Li, Thuy-Duong Vuong

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

SCOPE: Intrinsic Semantic Space Control for Mitigating Copyright Infringement in LLMs

Zhenliang Zhang, Xinyu Hu, Xiaojun Wan

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

Comments Accepted by the AAAI 2026 (Main Track)

FIRST: Federated Inference Resource Scheduling Toolkit for Scientific AI Model Access

Aditya Tanikanti, Benoit Côté, Yanfei Guo, Le Chen, Nickolaus Saint, Ryan Chard, Ken Raffenetti, Rajeev Thakur, Thomas Uram, Ian Foster, Michael E. Papka, Venkatram Vishwanath

机构 * Argonne National Laboratory（阿贡国家实验室） ； The University of Chicago（芝加哥大学） ； University of Illinois Chicago（伊利诺伊大学芝加哥分校） 纠错

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

Journal ref SC Workshops '25, Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis, ACM, pp. 52-60, 2025

ElasticMM: Efficient Multimodal LLMs Serving with Elastic Multimodal Parallelism

Zedong Liu, Shenggan Cheng, Guangming Tan, Yang You, Dingwen Tao

机构 * Institute of Computing Technology, Chinese Academy of Sciences（中国科学院计算技术研究所） ； University of Electronic Science and Technology of China（电子科技大学） ； National University of Singapore（新加坡国立大学） 纠错

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

Comments Accepted at NeurIPS 2025 Oral (Thirty-Ninth Conference on Neural Information Processing Systems)

REIS: A High-Performance and Energy-Efficient Retrieval System with In-Storage Processing

Kangqi Chen, Andreas Kosmas Kakolyris, Rakesh Nadig, Manos Frouzakis, Nika Mansouri Ghiasi, Yu Liang, Haiyu Mao, Jisung Park, Mohammad Sadrosadati, Onur Mutlu

机构 * ETH Zürich（苏黎世联邦理工学院） ； King’s College London（伦敦国王学院） ； POSTECH 纠错

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

Comments Extended version of our publication at the 52nd International Symposium on Computer Architecture (ISCA-52), 2025

MA-GTS: A Multi-Agent Framework for Solving Complex Graph Problems in Real-World Applications

Zike Yuan, Ming Liu, Hui Wang, Bing Qin

机构 * Harbin Institute of Technology（哈尔滨工业大学） ； Peng Cheng Laboratory（鹏城实验室） 纠错

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

Pinching Antennas Meet AI in Next-Generation Wireless Networks

Fang Fang, Zhiguo Ding, Victor C. M. Leung, Lajos Hanzo

机构 * Department of Electrical and Computer Engineering（电气与计算机工程系） ； Department of Computer Science（计算机科学系） ； University of Manchester（曼彻斯特大学） ； University of British Columbia（不列颠哥伦比亚大学） ； School of Electronics and Computer Science（电子与计算机科学学院） 纠错

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

Smart but Costly? Benchmarking LLMs on Functional Accuracy and Energy Efficiency

Mohammadjavad Mehditabar, Saurabhsingh Rajput, Antonio Mastropaolo, Tushar Sharma

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

Human Machine Social Hybrid Intelligence:A Collaborative Decision Making Framework for Large Model Agent Groups and Human Experts

Ahmet Akkaya Melih, Yamuna Singh, Kunal L. Agarwal, Priya Mukherjee, Kiran Pattnaik, Hanuman Bhatia

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

Comments We have identified critical issues in the code implementation that severely deviate from Algorithm 1, invalidating all experimental results and conclusions. Despite exhaustive efforts to correct these issues, we find they fundamentally undermine the paper's core claims. To uphold academic integrity and prevent misinformation, we are withdrawing this manuscript

FB-RAG: Improving RAG with Forward and Backward Lookup

Kushal Chawla, Alfy Samuel, Anoop Kumar, Daben Liu

机构 * Capital One 纠错

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

Comments Accepted at Findings of AACL 2025

Towards Provably Unlearnable Examples via Bayes Error Optimisation

Ruihan Zhang, Jun Sun, Ee-Peng Lim, Peixin Zhang

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

oboro: Text-to-Image Synthesis on Limited Data using Flow-based Diffusion Transformer with MMH Attention

Ryusuke Mizutani, Kazuaki Matano, Tsugumi Kadowaki, Haruki Tenya, Layris, nuigurumi, Koki Hashimoto, Yu Tanaka

机构 * AiHUB Inc.（AiHUB公司） ； Department of Physics, Okayama University of Science（Okayama大学科学部） 纠错

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

Comments 11 pages, 10 figures

Eliciting Latent Predictions from Transformers with the Tuned Lens

Nora Belrose, Igor Ostrovsky, Lev McKinney, Zach Furman, Logan Smith, Danny Halawi, Stella Biderman, Jacob Steinhardt

机构 * Boston University（波士顿大学） ； University of Toronto（多伦多大学） 纠错

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

CO2-Meter: A Comprehensive Carbon Footprint Estimator for LLMs on Edge Devices

Zhenxiao Fu, Chen Fan, Lei Jiang

专题命中 效率与部署 ：LLM(abstract)

WEDepth: Efficient Adaptation of World Knowledge for Monocular Depth Estimation

Gongshu Wang, Zhirui Wang, Kan Yang

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

Federated CLIP for Resource-Efficient Heterogeneous Medical Image Classification

Yihang Wu, Ahmad Chaddad

专题命中 效率与部署 ：language model(abstract)

Comments Accepted in AAAI 2026 Main track. Code is available at https://github.com/AIPMLab/FedMedCLIP

Harnessing Textual Semantic Priors for Knowledge Transfer and Refinement in CLIP-Driven Continual Learning

Lingfeng He, De Cheng, Di Xu, Huaijie Wang, Nannan Wang

专题命中 效率与部署 ：language model(abstract)

Comments AAAI-2026 Poster

Star Log-extended eMulation: a method for efficient computation of the Tolman-Oppenheimer-Volkoff equations

Sudhanva Lalit, Alexandra C. Semposki, Joshua M. Maldonado

专题命中 效率与部署 ：SLM(abstract)

Comments 13 pages, 3 figures, 4 tables

Journal ref Phys. Rev. Research 7, 043037, 2025

Nova: Generative Language Models for Assembly Code with Hierarchical Attention and Contrastive Learning

Nan Jiang, Chengxiao Wang, Kevin Liu, Xiangzhe Xu, Lin Tan, Xiangyu Zhang, Petr Babkin

机构 * Purdue University（普渡大学） ； University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） ； Lynbrook High School（林布罗克高中） ； J.P. Morgan AI Research（摩根大通人工智能研究） 纠错

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

Comments Published as a conference paper at ICLR 2025

ControlMed: Adding Reasoning Control to Medical Language Model

Sung-Min Lee, Siyoon Lee, Juyeon Kim, Kyoungmin Roh

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

Comments IJCNLP-AACL 2025

Anatomy-VLM: A Fine-grained Vision-Language Model for Medical Interpretation

Difei Gu, Yunhe Gao, Mu Zhou, Dimitris Metaxas

机构 * Rutgers University（新泽西罗格斯大学） ； Stanford University（斯坦福大学） 纠错

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

Comments Accepted to Winter Conference on Applications of Computer Vision (WACV) 2026

Estranged Predictions: Measuring Semantic Category Disruption with Masked Language Modelling

Yuxuan Liu, Haim Dubossarsky, Ruth Ahnert

机构 * School of Arts, Queen Mary University of London（艺术学院，伦敦女王学院） ； School of Electronic Engineering and Computer Science, Queen Mary University of London（电子工程与计算机科学学院，伦敦女王学院） 纠错

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

From Natural Language to Certified H-infinity Controllers: Integrating LLM Agents with LMI-Based Synthesis

Shihao Li, Jiachen Li, Jiamin Xu, Dongmei Chen

专题命中 领域大模型 ：LLM(title,abstract)

OneRec-Think: In-Text Reasoning for Generative Recommendation

Zhanyu Liu, Shiyao Wang, Xingmei Wang, Rongzhou Zhang, Jiaxin Deng, Honghui Bao, Jinghao Zhang, Wuchao Li, Pengfei Zheng, Xiangyu Wu, Yifei Hu, Qigen Hu, Xinchen Luo, Lejian Ren, Zixing Zhang, Qianqian Wang, Kuo Cai, Yunfan Wu, Hongtao Cheng, Zexuan Cheng, Lu Ren, Huanjie Wang, Yi Su, Ruiming Tang, Kun Gai, Guorui Zhou

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

A Cautionary Tale About "Neutrally" Informative AI Tools Ahead of the 2025 Federal Elections in Germany

Ina Dormuth, Sven Franke, Marlies Hafer, Tim Katzke, Alexander Marx, Emmanuel Müller, Daniel Neider, Markus Pauly, Jérôme Rutinowski

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

Journal ref Explainable Artificial Intelligence (xAI 2025). Communications in Computer and Information Science, vol. 2580, pp. 64-85. Springer, Cham (2026)

Exploring the Psychometric Validity of AI-Generated Student Responses: A Study on Virtual Personas' Learning Motivation

Huanxiao Wang

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

Comments The paper has been accepted as proceedings of Artificial Intelligence in Measurement and Education Conference (AIME-Con) (2025)

PAL: Designing Conversational Agents as Scalable, Cooperative Patient Simulators for Palliative-Care Training

Neil K. R. Sehgal, Hita Kambhamettu, Allen Chang, Andrew Zhu, Lyle Ungar, Sharath Chandra Guntuku

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

Journal ref CSCW Companion '25: Companion Publication of the 2025 Conference on Computer-Supported Cooperative Work and Social Computing

Bridged Semantic Alignment for Zero-shot 3D Medical Image Diagnosis

Haoran Lai, Zihang Jiang, Qingsong Yao, Rongsheng Wang, Zhiyang He, Xiaodong Tao, Weifu Lv, Wei Wei, S. Kevin Zhou

机构 * University of Science and Technology of China（中国科学技术大学） ； Suzhou Institute for Advanced Research（苏州先进研究所） ； Stanford University（斯坦福大学） ； iFlytek Co. Ltd.（iFlytek公司） ； The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, USTC（中国科学技术大学第一附属医院） 纠错

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

Benchmarking Domain Generalization Algorithms in Computational Pathology

Neda Zamanitajeddin, Mostafa Jahanifar, Kesi Xu, Fouzia Siraj, Nasir Rajpoot

机构 * Tissue Image Analytics centre, Department of Computer Science（组织机构：组织机构，计算机科学系） ； Histofy Ltd（Histofy有限公司） ； ICMR-National Institute of Pathology（ICMR国家病理研究所） 纠错

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