语言大模型 / LLM

Enhancing 3D Medical Image Understanding with Pretraining Aided by 2D Multimodal Large Language Models

Qiuhui Chen, Xuancheng Yao, Huping Ye, Yi Hong

机构 * School of Computer Science, Shanghai Jiao Tong University（上海交通大学计算机科学学院） 纠错

专题命中 预训练与数据 ：large language model(title,abstract)；language model(title,abstract)；pretraining(title,abstract)；LLM(abstract)

Comments Accepted by IEEE Journal of Biomedical and Health Informatics (JBHI)

From scratch to silver: Creating trustworthy training data for patent-SDG classification using Large Language Models

Grazia Sveva Ascione, Nicolò Tamagnone

机构 * Department of Industrial Engineering, Polytechnic University of Turin（工业工程系，都灵理工学院） ； Venice School of Management, Ca Foscari University of Venice（威尼斯管理学院，威尼斯福斯卡里大学） 纠错

专题命中 预训练与数据 ：large language model(title,abstract)；language model(title,abstract)；LLM(abstract)；分类 cs.CL

EchoX: Towards Mitigating Acoustic-Semantic Gap via Echo Training for Speech-to-Speech LLMs

Yuhao Zhang, Yuhao Du, Zhanchen Dai, Xiangnan Ma, Kaiqi Kou, Benyou Wang, Haizhou Li

专题命中 预训练与数据 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI

Generalized User-Oriented Image Semantic Coding Empowered by Large Vision-Language Model

Sin-Yu Huang, Vincent W. S. Wong

专题命中 预训练与数据 ：language model(title,abstract)

Comments Accepted by IEEE Global Communications Conference (GLOBECOM), Taipei, Taiwan, Dec. 2025

SurGBSA: Learning Representations From Molecular Dynamics Simulations

Derek Jones, Yue Yang, Felice C. Lightstone, Niema Moshiri, Jonathan E. Allen, Tajana S. Rosing

专题命中 预训练与数据 ：foundation model(abstract)；pretraining(abstract)；分类 cs.LG

Generative Data Refinement: Just Ask for Better Data

Minqi Jiang, João G. M. Araújo, Will Ellsworth, Sian Gooding, Edward Grefenstette

机构 * Google DeepMind（谷歌DeepMind） 纠错

专题命中 预训练与数据 ：prompting(abstract)；分类 cs.CL、cs.LG

Enhancing Automatic Modulation Recognition With a Reconstruction-Driven Vision Transformer Under Limited Labels

Hossein Ahmadi, Banafsheh Saffari, Sajjad Emdadi Mahdimahalleh, Mohammad Esmaeil Safari, Aria Ahmadi

机构 * The University of Akron（阿克伦大学） 纠错

专题命中 预训练与数据 ：pretraining(abstract)

DP-FedLoRA: Privacy-Enhanced Federated Fine-Tuning for On-Device Large Language Models

Honghui Xu, Shiva Shrestha, Wei Chen, Zhiyuan Li, Zhipeng Cai

机构 * Department of Information Technology, Kennesaw State University（信息科技系，肯纳邦大学） ； Department of Computer Science, Georgia State University（计算机科学系，佐治亚州立大学） 纠错

专题命中 指令微调 ：large language model(title,abstract)；language model(title,abstract)；LLM(abstract)；分类 cs.AI

PersonaFuse: A Personality Activation-Driven Framework for Enhancing Human-LLM Interactions

Yixuan Tang, Yi Yang, Ahmed Abbasi

机构 * The Hong Kong University of Science and Technology（香港科学与技术大学） ； University of Notre Dame（诺丁汉大学） 纠错

专题命中 指令微调 ：LLM(title,abstract)；large language model(abstract)；language model(abstract)；post-training(abstract)

Sensitivity-LoRA: Low-Load Sensitivity-Based Fine-Tuning for Large Language Models

Hao Zhang, Bo Huang, Zhenjia Li, Xi Xiao, Hui Yi Leong, Zumeng Zhang, Xinwei Long, Tianyang Wang, Hao Xu

机构 * Harvard University（哈佛大学） ； Xi’an University of Science and Technology（西安科技大学） ； University of Chinese Academy of Sciences（中国科学院大学） ； University of Alabama at Birmingham（阿拉巴马大学伯明翰分校） ； University of Chicago（芝加哥大学） ； Yunnan University（云南大学） ； Tsinghua University（清华大学） 纠错

专题命中 指令微调 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.LG

Comments 15 pages

DriveSOTIF: Advancing Perception SOTIF Through Multimodal Large Language Models

Shucheng Huang, Freda Shi, Chen Sun, Jiaming Zhong, Minghao Ning, Yufeng Yang, Yukun Lu, Hong Wang, Amir Khajepour

机构 * MVSLab, Department of Mechanical and Mechatronics Engineering, University of Waterloo（滑铁卢大学机械与机电工程系MVSLab） ； CompLING Lab, David R. Cheriton School of Computer Science, University of Waterloo（滑铁卢大学大卫·R·切里顿计算机科学学院CompLING Lab） ； Department of Data and Systems Engineering, University of Hong Kong（香港大学数据与系统工程系） ； Department of Mechanical Engineering, University of New Brunswick（新不伦瑞克大学机械工程系） ； School of Vehicle and Mobility, Tsinghua University（清华大学车辆与移动性学院） 纠错

专题命中 指令微调 ：large language model(title,abstract)；language model(title,abstract)

Comments This work has been accepted to IEEE Transactions on Vehicular Technology. Please refer to the copyright notice for additional information

Noise or Nuance: An Investigation Into Useful Information and Filtering For LLM Driven AKBC

Alex Clay, Ernesto Jiménez-Ruiz, Pranava Madhyastha

机构 * City St George's, University of London（伦敦城市圣乔治大学） ； The Alan Turing Institute, British Library（艾伦·图灵研究所，大英图书馆） 纠错

专题命中 指令微调 ：LLM(title,abstract)；分类 cs.CL

Comments 8 pages, 1 figure, accepted to the ISWC 2025 LM-KBC Workshop

PeftCD: Leveraging Vision Foundation Models with Parameter-Efficient Fine-Tuning for Remote Sensing Change Detection

Sijun Dong, Yuxuan Hu, LiBo Wang, Geng Chen, Xiaoliang Meng

机构 * School of Remote Sensing and Information Engineering, Wuhan University（武汉大学遥感与信息工程学院） ； School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology（南京信息工程大学遥感与地理信息工程学院） ； Guangxi Water & Power Design Institute CO., Ltd.（广西水电设计院有限公司） 纠错

专题命中 指令微调 ：foundation model(title,abstract)

SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning

Haozhan Li, Yuxin Zuo, Jiale Yu, Yuhao Zhang, Zhaohui Yang, Kaiyan Zhang, Xuekai Zhu, Yuchen Zhang, Tianxing Chen, Ganqu Cui, Dehui Wang, Dingxiang Luo, Yuchen Fan, Youbang Sun, Jia Zeng, Jiangmiao Pang, Shanghang Zhang, Yu Wang, Yao Mu, Bowen Zhou, Ning Ding

机构 * Shanghai Jiao Tong University（上海交通大学） ； Peking University（北京大学） ； The University of Hong Kong（香港大学） ； Shanghai AI Lab（上海人工智能实验室） 纠错

专题命中 指令微调 ：pretraining(abstract)；SFT(abstract)；分类 cs.CL、cs.AI、cs.LG

When FinTech Meets Privacy: Securing Financial LLMs with Differential Private Fine-Tuning

Sichen Zhu, Hoyeung Leung, Xiaoyi Wang, Jia Wei, Honghui Xu

专题命中 指令微调 ：LLM(abstract)；large language model(abstract)；language model(abstract)

DeMeVa at LeWiDi-2025: Modeling Perspectives with In-Context Learning and Label Distribution Learning

Daniil Ignatev, Nan Li, Hugh Mee Wong, Anh Dang, Shane Kaszefski Yaschuk

机构 * Utrecht University（乌特雷赫大学） 纠错

专题命中 指令微调 ：large language model(abstract)；language model(abstract)；分类 cs.CL、cs.LG

Comments 11 pages, 4 figures; to appear at NLPerspectives@EMNLP-2025

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model

Zixiang Ai, Zichen Liu, Yuanhang Lei, Zhenyu Cui, Xu Zou, Jiahuan Zhou

机构 * Wangxuan Institute of Computer Technology, Peking University, Beijing, China（王轩计算机技术研究所，北京大学，北京，中国） ； State Key Laboratory of CAD\&CG, Zhejiang University, Hangzhou, China（CAD\&CG国家重点实验室，浙江大学，杭州，中国） ； School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China（人工智能与自动化学院，华中科技大学，武汉，中国） 纠错

专题命中 指令微调 ：prompting(abstract)

Comments Accepted by ICML 2025

Improving LLM Safety and Helpfulness using SFT and DPO: A Study on OPT-350M

Piyush Pant

机构 * Saarland University（萨尔兰大学） 纠错

专题命中 后训练与偏好优化 ：SFT(title,abstract)；LLM(title,comments)；language model(abstract)；RLHF(abstract)

Comments 17 pages, 3 figures. Code and dataset available at https://github.com/PiyushWithPant/Improving-LLM-Safety-and-Helpfulness-using-SFT-and-DPO

Bridging the Capability Gap: Joint Alignment Tuning for Harmonizing LLM-based Multi-Agent Systems

Minghang Zhu, Zhengliang Shi, Zhiwei Xu, Shiguang Wu, Lingjie Wang, Pengjie Ren, Zhaochun Ren, Zhumin Chen

机构 * Shandong University（山东大学） ； Leiden University（莱顿大学） 纠错

专题命中 后训练与偏好优化 ：LLM(title)；large language model(abstract)；language model(abstract)；分类 cs.CL

Comments EMNLP 2025 Findings

RED: Unleashing Token-Level Rewards from Holistic Feedback via Reward Redistribution

Jiahui Li, Lin Li, Tai-wei Chang, Kun Kuang, Long Chen, Jun Zhou, Cheng Yang

机构 * Zhejiang University（浙江大学） ； Ant Group（蚂蚁集团） ； The Hong Kong University of Science and Technology（香港科技大学） 纠错

专题命中 后训练与偏好优化 ：large language model(abstract)；language model(abstract)；RLHF(abstract)；分类 cs.CL、cs.AI

Directly Aligning the Full Diffusion Trajectory with Fine-Grained Human Preference

Xiangwei Shen, Zhimin Li, Zhantao Yang, Shiyi Zhang, Yingfang Zhang, Donghao Li, Chunyu Wang, Qinglin Lu, Yansong Tang

机构 * School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen（香港中文大学（深圳）科学与工程学院） ； Shenzhen International Graduate School, Tsinghua University（清华大学深圳国际研究生院） 纠错

专题命中 后训练与偏好优化 ：preference optimization(abstract)；分类 cs.AI、cs.LG

Comments 15 pages

CritiQ: Mining Data Quality Criteria from Human Preferences

Honglin Guo, Kai Lv, Qipeng Guo, Tianyi Liang, Zhiheng Xi, Demin Song, Qiuyinzhe Zhang, Yu Sun, Kai Chen, Xipeng Qiu, Tao Gui

专题命中 后训练与偏好优化 ：language model(abstract)；分类 cs.CL

Comments to be published in ACL 2025, Code is available at https://github.com/KYLN24/CritiQ

Capability-Aware Shared Hypernetworks for Flexible Heterogeneous Multi-Robot Coordination

Kevin Fu, Shalin Anand Jain, Pierce Howell, Harish Ravichandar

机构 * Georgia Institute of Technology（佐治亚理工学院） 纠错

专题命中 后训练与偏好优化 ：post-training(abstract)；分类 cs.LG

Comments 22 pages, 8 figures, equal authorship between Kevin Fu and Shalin Anand Jain Manuscript accepted for publication at the 9th Conference on Robot Learning (CoRL 2025), Seoul, Korea

LoCoBench: A Benchmark for Long-Context Large Language Models in Complex Software Engineering

Jielin Qiu, Zuxin Liu, Zhiwei Liu, Rithesh Murthy, Jianguo Zhang, Haolin Chen, Shiyu Wang, Ming Zhu, Liangwei Yang, Juntao Tan, Zhepeng Cen, Cheng Qian, Shelby Heinecke, Weiran Yao, Silvio Savarese, Caiming Xiong, Huan Wang

机构 * Salesforce AI Research（Salesforce AI研究院） 纠错

专题命中 长上下文与记忆 ：language model(title,abstract)；large language model(title)；分类 cs.AI

Comments 53 pages

Imagine, Verify, Execute: Memory-guided Agentic Exploration with Vision-Language Models

Seungjae Lee, Daniel Ekpo, Haowen Liu, Furong Huang, Abhinav Shrivastava, Jia-Bin Huang

专题命中 长上下文与记忆 ：language model(title,abstract)；分类 cs.LG

Comments Project webpage: https://ive-robot.github.io/

HD-MoE: Hybrid and Dynamic Parallelism for Mixture-of-Expert LLMs with 3D Near-Memory Processing

Haochen Huang, Shuzhang Zhong, Zhe Zhang, Shuangchen Li, Dimin Niu, Hongzhong Zheng, Runsheng Wang, Meng Li

专题命中 长上下文与记忆 ：LLM(abstract)；large language model(abstract)；language model(abstract)

Comments 9 pages, 15 figures, International Conference on Computer-Aided Design (ICCAD) 2025

Towards Adaptive Memory-Based Optimization for Enhanced Retrieval-Augmented Generation

Qitao Qin, Yucong Luo, Yihang Lu, Zhibo Chu, Xiaoman Liu, Xianwei Meng

机构 * University of Science and Technology of China（中国科学技术大学） ； Hefei Institutes of Physical Science, Chinese Academy of Sciences（中国科学院合肥研究院） 纠错

专题命中 长上下文与记忆 ：language model(abstract)；分类 cs.AI

Comments Accept by ACL 2025 findings

ForestSplats: Deformable transient field for Gaussian Splatting in the Wild

Wongi Park, Myeongseok Nam, Siwon Kim, Sangwoo Jo, Soomok Lee

机构 * Ajou University（阿乔大学） ； Minds and Company（Mind and Company） 纠错

专题命中 长上下文与记忆 ：foundation model(abstract)

AdaptMI: Adaptive Skill-based In-context Math Instruction for Small Language Models

Yinghui He, Abhishek Panigrahi, Yong Lin, Sanjeev Arora

机构 * Princeton Language and Intelligence（普林斯顿语言与智能） 纠错

专题命中 推理与问题求解 ：language model(title,abstract)；small language model(title,abstract)；LLM(abstract)；large language model(abstract)

Thinking with Many Minds: Using Large Language Models for Multi-Perspective Problem-Solving

Sanghyun Park, Boris Maciejovsky, Phanish Puranam

专题命中 推理与问题求解 ：large language model(title,abstract)；language model(title,abstract)；LLM(abstract)；分类 cs.CL

Comments 36 pages, 1 appendix