语言大模型 / LLM

Cross-Modality Controlled Molecule Generation with Diffusion Language Model

Yunzhe Zhang, Yifei Wang, Khanh Vinh Nguyen, Pengyu Hong

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

Improving Text Style Transfer using Masked Diffusion Language Models with Inference-time Scaling

Tejomay Kishor Padole, Suyash P Awate, Pushpak Bhattacharyya

机构 * Dept. of Computer Science and Engineering, Indian Institute of Technology, Bombay（计算机科学与工程系，印度理工学院，孟买） 纠错

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

Comments Accepted as a main conference submission in the European Conference on Artificial Intelligence (ECAI 2025)

EXAONE Path 2.0: Pathology Foundation Model with End-to-End Supervision

Myeongjang Pyeon, Janghyeon Lee, Minsoo Lee, Juseung Yun, Hwanil Choi, Jonghyun Kim, Jiwon Kim, Yi Hu, Jongseong Jang, Soonyoung Lee

机构 * LG AI Research（LG人工智能研究院） 纠错

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

Comments EXAONE Path 2.0 technical report

AIOS: LLM Agent Operating System

Kai Mei, Xi Zhu, Wujiang Xu, Wenyue Hua, Mingyu Jin, Zelong Li, Shuyuan Xu, Ruosong Ye, Yingqiang Ge, Yongfeng Zhang

机构 * Department of Computer Science, Rutgers University（计算机科学系，罗杰斯大学） 纠错

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

Comments Published as a full paper at COLM 2025

Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference

Yuxuan Song, Zheng Zhang, Cheng Luo, Pengyang Gao, Fan Xia, Hao Luo, Zheng Li, Yuehang Yang, Hongli Yu, Xingwei Qu, Yuwei Fu, Jing Su, Ge Zhang, Wenhao Huang, Mingxuan Wang, Lin Yan, Xiaoying Jia, Jingjing Liu, Wei-Ying Ma, Ya-Qin Zhang, Yonghui Wu, Hao Zhou

机构 * ByteDance Seed（字节跳动种子） ； Institute for AI Industry Research (AIR)（人工智能产业研究院） ； Tsinghua University（清华大学） 纠错

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

Comments Demo is available at https://studio.seed.ai/exp/seed_diffusion/; Project page is https://seed.bytedance.com/seed_diffusion

DUP: Detection-guided Unlearning for Backdoor Purification in Language Models

Man Hu, Yahui Ding, Yatao Yang, Liangyu Chen, Yanhao Jia, Shuai Zhao

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

The Attribution Crisis in LLM Search Results

Ilan Strauss, Jangho Yang, Tim O'Reilly, Sruly Rosenblat, Isobel Moure

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

Hierarchical Safety Realignment: Lightweight Restoration of Safety in Pruned Large Vision-Language Models

Yue Li, Xin Yi, Dongsheng Shi, Gerard de Melo, Xiaoling Wang, Linlin Wang

机构 * East China Normal University（华东师范大学） ； Hasso Plattner Institute/University of Potsdam（哈索普劳特纳研究所/波茨坦大学） 纠错

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

Comments ACL 2025 Findings

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models

Giuliana Monachino, Nicolò La Porta, Beatrice Zanchi, Luigi Fiorillo, Alvise Dei Rossi, Georgiy Farina, Francesca Dalia Faraci

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

DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization

Dongyeun Lee, Jiwan Hur, Hyounguk Shon, Jae Young Lee, Junmo Kim

机构 * KAIST（韩国科学技术院） 纠错

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

Comments Accepted by ICCV 2025

FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making

Yucen Wang, Rui Yu, Shenghua Wan, Le Gan, De-Chuan Zhan

机构 * School of Artificial Intelligence, Nanjing University, China（人工智能学院，南京大学） ； National Key Laboratory for Novel Software Technology, Nanjing University, China（新型软件技术国家重点实验室，南京大学） 纠错

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

Comments Accepted by Forty-Second International Conference on Machine Learning (ICML 2025)

PRISM: Distributed Inference for Foundation Models at Edge

Muhammad Azlan Qazi, Alexandros Iosifidis, Qi Zhang

机构 * Department of Electrical and Computer Engineering, Aarhus University（电子与计算机工程系，奥胡斯大学） ； Faculty of Information Technology and Communication Sciences, Tampere University（信息科技与通信科学学院，塔尔库大学） 纠错

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

Language Models for Adult Service Website Text Analysis

Nickolas Freeman, Thanh Nguyen, Gregory Bott, Jason Parton, Collin Francel

机构 * Information Systems, Statistics, and Management Science, University of Alabama, Tuscaloosa, AL, USA（信息系统、统计学与管理科学，阿拉巴马大学，塔斯卡洛osa，美国） ； Data Science, University of Alabama, Tuscaloosa, AL, USA（数据科学，阿拉巴马大学，塔斯卡洛osa，美国） 纠错

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

Comments 32 pages, 12 figures, 1 table

A Satellite-Ground Synergistic Large Vision-Language Model System for Earth Observation

Yuxin Zhang, Jiahao Yang, Zhe Chen, Wenjun Zhu, Jin Zhao, Yue Gao

机构 * Institute of Space Internet, Fudan University, Shanghai China（空间互联网研究所，复旦大学，上海中国） 纠错

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

Comments 11 pages, 12 figures

A Scalable and Quantum-Accurate Foundation Model for Biomolecular Force Field via Linearly Tensorized Quadrangle Attention

Qun Su, Kai Zhu, Qiaolin Gou, Jintu Zhang, Renling Hu, Yurong Li, Yongze Wang, Hui Zhang, Ziyi You, Linlong Jiang, Yu Kang, Jike Wang, Chang-Yu Hsieh, Tingjun Hou

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

GaussMaster: An LLM-based Database Copilot System

Wei Zhou, Ji Sun, Xuanhe Zhou, Guoliang Li, Luyang Liu, Hao Wu, Tianyuan Wang

机构 * Huawei Technologies Co., Ltd.（华为技术有限公司） ； Tsinghua University（清华大学） ； Shanghai Jiaotong University（上海交通大学） 纠错

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

Comments We welcome contributions from the community. For reference, please see the code at: https://gitcode.com/opengauss/openGauss-GaussMaster

A Systematic Study of Compositional Syntactic Transformer Language Models

Yida Zhao, Hao Xve, Xiang Hu, Kewei Tu

机构 * School of Information Science and Technology, ShanghaiTech University（信息科学与技术学院，上海科技大学） ； Shanghai Engineering Research Center of Intelligent Vision and Imaging（智能视觉与成像工程技术研究中心） ； Ant Group（蚂蚁集团） 纠错

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

Multi-task parallelism for robust pre-training of graph foundation models on multi-source, multi-fidelity atomistic modeling data

Massimiliano Lupo Pasini, Jong Youl Choi, Pei Zhang, Kshitij Mehta, Rylie Weaver, Ashwin M. Aji, Karl W. Schulz, Jorda Polo, Prasanna Balaprakash

机构 * Oak Ridge National Laboratory（橡树岭国家实验室） ； Advanced Micro Devices Research（先进微器件研究） 纠错

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

Comments 15 pages, 4 figures, 2 tables

Learning Causal Graphs at Scale: A Foundation Model Approach

Naiyu Yin, Tian Gao, Yue Yu

机构 * IBM Research（IBM研究院） 纠错

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

NestQuant: Post-Training Integer-Nesting Quantization for On-Device DNN

Jianhang Xie, Chuntao Ding, Xiaqing Li, Shenyuan Ren, Yidong Li, Zhichao Lu

机构 * Key Laboratory of Big Data & Artificial Intelligence in Transportation (Beijing Jiaotong University), Ministry of Education（大数据与人工智能在交通中的关键实验室（北京交通大学，教育部）） ； School of Computer Science and Technology, Beijing Jiaotong University（计算机科学与技术学院，北京交通大学） ； School of Artificial Intelligence, Beijing Normal University（人工智能学院，北京师范大学） ； Department of Computer Science, City University of Hong Kong（计算机科学系，香港城市大学） 纠错

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

Comments IEEE Transactions on Mobile Computing, accepted manuscript, DOI: 10.1109/TMC.2025.3582583; Code: https://github.com/jianhayes/NESTQUANT

V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models

Junwei You, Haotian Shi, Zhuoyu Jiang, Zilin Huang, Rui Gan, Keshu Wu, Xi Cheng, Xiaopeng Li, Bin Ran

机构 * organization= Department of Civil ； Environmental Engineering, University of Wisconsin–Madison , city= Madison , state= WI , postcode= 53706 , country= USA ； organization= College of Computing ； Data Science, Nanyang Technological University , city= Singapore , postcode= 639798 , country= Singapore ； organization= College of Transportation, Tongji University , city= Shanghai , postcode= 201804 , country= China ； organization= Zachry Department of Civil ； Environmental Engineering, Texas A\&M University , city= College Station , state= TX , postcode= 77840 , country= USA ； organization= School of Civil ； Environmental Engineering, Cornell University , city= Ithaca , state= NY , postcode= 14853 , country= USA 纠错

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

FIMA-Q: Post-Training Quantization for Vision Transformers by Fisher Information Matrix Approximation

Zhuguanyu Wu, Shihe Wang, Jiayi Zhang, Jiaxin Chen, Yunhong Wang

机构 * State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, China（虚拟现实技术与系统国家重点实验室，北京航空航天大学） ； School of Computer Science and Engineering, Beihang University, Beijing, China（计算机科学与工程学院，北京航空航天大学） 纠错

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

Comments CVPR 2025 Highlight

SUTA-LM: Bridging Test-Time Adaptation and Language Model Rescoring for Robust ASR

Wei-Ping Huang, Guan-Ting Lin, Hung-yi Lee

机构 * Graduate Institute of Communication Engineering National Taiwan University（通信工程研究所 国家台湾大学） 纠错

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

Elucidating the Design Space of Multimodal Protein Language Models

Cheng-Yen Hsieh, Xinyou Wang, Daiheng Zhang, Dongyu Xue, Fei Ye, Shujian Huang, Zaixiang Zheng, Quanquan Gu

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

Comments ICML 2025 Spotlight; Project Page: https://bytedance.github.io/dplm/dplm-2.1/

LLM-ML Teaming: Integrated Symbolic Decoding and Gradient Search for Valid and Stable Generative Feature Transformation

Xinyuan Wang, Haoyue Bai, Nanxu Gong, Wangyang Ying, Sixun Dong, Xiquan Cui, Yanjie Fu

机构 * Arizona State University（亚利桑那州立大学） ； The Home Depot（家乐福） 纠错

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

A Semantic-Aware Layer-Freezing Approach to Computation-Efficient Fine-Tuning of Language Models

Jian Gu, Aldeida Aleti, Chunyang Chen, Hongyu Zhang

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

Comments accepted by ACL 2025, the camera-ready version

EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models

Zekun Wang, Minghua Ma, Zexin Wang, Rongchuan Mu, Liping Shan, Ming Liu, Bing Qin

机构 * Harbin Institute of Technology（哈尔滨工业大学） ； Pengcheng Laboratory（鹏城实验室） ； Du Xiaoman Science Technology Co., Ltd（杜祥曼科技有限公司） 纠错

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

Comments ACL 2025

DLM-One: Diffusion Language Models for One-Step Sequence Generation

Tianqi Chen, Shujian Zhang, Mingyuan Zhou

机构 * The University of Texas at Austin（德克萨斯大学奥斯汀分校） 纠错

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

Pre-Training Curriculum for Multi-Token Prediction in Language Models

Ansar Aynetdinov, Alan Akbik

机构 * Humboldt-Universität zu Berlin（柏林洪堡大学） 纠错

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

Comments Accepted to ACL 2025 (Main)

TuneComp: Joint Fine-tuning and Compression for Large Foundation Models

Xiangyu Chen, Jing Liu, Ye Wang, Matthew Brand, Pu, Wang, Toshiaki Koike-Akino

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

Comments Preliminary Work