语言大模型 / LLM

The Empowerment of Science of Science by Large Language Models: New Tools and Methods

Guoqiang Liang, Jingqian Gong, Mengxuan Li, Gege Lin, Shuo Zhang

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

Comments The manuscript is currently ongoing the underreview process of the journal of information science

Knowledge-Informed Automatic Feature Extraction via Collaborative Large Language Model Agents

Henrik Bradland, Morten Goodwin, Vladimir I. Zadorozhny, Per-Arne Andersen

机构 * School of Computing and Information, University of Pittsburgh, Pittsburgh, USA（计算机与信息学院，匹兹堡大学，美国匹兹堡） ； Centre for Artificial Intelligence Research, University of Agder, Grimstad, Norway（人工智能研究中心，阿格德大学，挪威格里斯塔德） 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、cs.AI

Comments 19 pages, 4 figures, in review

ExplainRec: Towards Explainable Multi-Modal Zero-Shot Recommendation with Preference Attribution and Large Language Models

Bo Ma, LuYao Liu, ZeHua Hu, Simon Lau

机构 * Department of Software \& Microelectronics Peking University Beijing, China ； Department of Software \& Microelectronics Peking University Beijing, China hangli\ ； Department of Software \& Microelectronics Peking University Beijing, China zehua\ ； Department of Software \& Microelectronics Peking University Beijing, China xiaofan\ ； Economic Law School China University of Political Science ； School of Computer Science Peking University Beijing, China 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.AI

Expert-Guided Prompting and Retrieval-Augmented Generation for Emergency Medical Service Question Answering

Xueren Ge, Sahil Murtaza, Anthony Cortez, Homa Alemzadeh

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

Comments Accepted by AAAI 2026

Know Your Intent: An Autonomous Multi-Perspective LLM Agent Framework for DeFi User Transaction Intent Mining

了解您的意图：一种自主多视角大语言模型代理框架用于DeFi用户交易意图挖掘

Qian'ang Mao, Yuxuan Zhang, Jiaman Chen, Wenjun Zhou, Jiaqi Yan

机构 * Nanjing University（南京大学） ； The University of Tennessee, Knoxville（田纳西大学） 纠错

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

AI总结 本文提出TIM框架，通过多视角LLM代理系统挖掘DeFi用户交易意图，提升意图推断的准确性和可验证性。

Comments Written in 2025 Q1

Model Merging Improves Zero-Shot Generalization in Bioacoustic Foundation Models

Davide Marincione, Donato Crisostomi, Roberto Dessi, Emanuele Rodolà, Emanuele Rossi

机构 * Department of Computer Science, Sapienza University of Rome（计算机科学系，罗马大学） 纠错

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

How to Train Private Clinical Language Models: A Comparative Study of Privacy-Preserving Pipelines for ICD-9 Coding

Mathieu Dufour, Andrew Duncan

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

Comments 10 pages, 5 figures. Accepted to the Privacy-Preserving Machine Learning Workshop at EurIPS 2025

Harnessing Diverse Perspectives: A Multi-Agent Framework for Enhanced Error Detection in Knowledge Graphs

Yu Li, Yi Huang, Guilin Qi, Junlan Feng, Nan Hu, Songlin Zhai, Haohan Xue, Yongrui Chen, Ruoyan Shen, Tongtong Wu

机构 * Southeast University（东南大学） ； China Mobile Research Institute（中国移动研究院） ； Monash University（墨尔本大学） 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 This paper has been ACCEPTED as a FULL PAPER at DASFAA 2025 (Oral)

CroPS: Improving Dense Retrieval with Cross-Perspective Positive Samples in Short-Video Search

CroPS：通过跨视角正样本提升密集检索（短视频搜索）

Ao Xie, Jiahui Chen, Quanzhi Zhu, Xiaoze Jiang, Zhiheng Qin, Enyun Yu, Han Li

机构 * Kuaishou Technology（快手科技） 纠错

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

AI总结 CroPS通过引入多视角正样本提升短视频检索性能，减少查询重述率，已在快手搜索部署。

Comments AAAI-2026, Oral

Few-Shot Learning for Industrial Time Series: A Comparative Analysis Using the Example of Screw-Fastening Process Monitoring

Xinyuan Tu

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

Comments arXiv admin comment: This version has been removed by arXiv administrators as the submitter did not have the rights to agree to the license at the time of submission

PID: Physics-Informed Diffusion Model for Infrared Image Generation

Fangyuan Mao, Jilin Mei, Shun Lu, Fuyang Liu, Liang Chen, Fangzhou Zhao, Yu Hu

机构 * Research Center for Intelligent Computing Systems, Institute of Computing Technology, Chinese Academy of Sciences（智能计算系统研究中心，计算技术研究所，中国科学院） ； School of Computer Science and Technology, University of Chinese Academy of Sciences（计算机科学与技术学院，中国科学院大学） 纠错

专题命中 领域大模型 ：prompting(abstract)

Comments Accepted by Pattern Recognition