语言大模型 / LLM

Large Language Models and Futures Price Factors in China

Yuhan Cheng, Heyang Zhou, Yanchu Liu

机构 * School of Management, Shandong University（山东大学管理学院） ； Lingnan College, Sun Yat-sen University（中山大学岭南学院） 纠错

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

Comments 46 pages;1 figure

'Rich Dad, Poor Lad': How do Large Language Models Contextualize Socioeconomic Factors in College Admission ?

Huy Nghiem, Phuong-Anh Nguyen-Le, John Prindle, Rachel Rudinger, Hal Daumé

机构 * University of Maryland（马里兰大学） ； University of Southern California（南加州大学） 纠错

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

Comments EMNLP 2025, ver 1, 35 pages

Natural Fingerprints of Large Language Models

Teppei Suzuki, Ryokan Ri, Sho Takase

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

Annotating Training Data for Conditional Semantic Textual Similarity Measurement using Large Language Models

Gaifan Zhang, Yi Zhou, Danushka Bollegala

机构 * University of Liverpool（利弗池大学） ； Cardiff University（卡迪夫大学） 纠错

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

Comments Accepted to EMNLP 2025

Large Language Models Discriminate Against Speakers of German Dialects

Minh Duc Bui, Carolin Holtermann, Valentin Hofmann, Anne Lauscher, Katharina von der Wense

机构 * Johannes Gutenberg University Mainz（明斯特-贾格施泰因大学） ； Data Science Group, University of Hamburg（汉堡大学数据科学组） ； Allen Institute for AI（人工智能研究所） ； University of Washington（华盛顿大学） ； University of Colorado Boulder（科罗拉多大学博尔德分校） 纠错

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

Comments Accepted to EMNLP 2025 Main

M-BRe: Discovering Training Samples for Relation Extraction from Unlabeled Texts with Large Language Models

Zexuan Li, Hongliang Dai, Piji Li

机构 * College of Artificial Intelligence, Nanjing University of Aeronautics and Astronautics（人工智能学院，南京航空航天大学） ； MIIT Key Laboratory of Pattern Analysis and Machine Intelligence（信息产业部模式分析与机器智能重点实验室） ； The Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education（脑机智能技术重点实验室，教育部） 纠错

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

Comments Accepted by EMNLP2025 Main Conference

LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations

Daniela Gottesman, Alon Gilae-Dotan, Ido Cohen, Yoav Gur-Arieh, Marius Mosbach, Ori Yoran, Mor Geva

机构 * Tel Aviv University（特拉维夫大学） ； Mila – Quebec AI Institute & McGill University（蒙特利尔AI研究所 & 蒙特利尔大学） 纠错

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

Comments Submitted to TACL, August 2025

RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation

Sashuai Zhou, Weinan Gan, Qijiong Liu, Ke Lei, Jieming Zhu, Hai Huang, Yan Xia, Ruiming Tang, Zhenhua Dong, Zhou Zhao

机构 * Zhejiang University（浙江大学） ； Huawei Noah’s Ark Lab（华为诺亚实验室） ； Shanghai AI Lab（上海人工智能实验室） ； The HK PolyU（香港理工大学） 纠错

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

Journal ref EMNLP 2025

Think in Games: Learning to Reason in Games via Reinforcement Learning with Large Language Models

Yi Liao, Yu Gu, Yuan Sui, Zining Zhu, Yifan Lu, Guohua Tang, Zhongqian Sun, Wei Yang

机构 * Tencent（腾讯） 纠错

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

Heterogeneous LLM Methods for Ontology Learning (Few-Shot Prompting, Ensemble Typing, and Attention-Based Taxonomies)

Aleksandra Beliaeva, Temurbek Rahmatullaev

机构 * Skolkovo Institute of Science and Technology（斯克尔科沃科学与技术研究院） ； BIMAI-Lab, Biomedically Informed Artificial Intelligence Laboratory, University of Sharjah（沙迦大学生物医学引导人工智能实验室） ； Ivannikov Institute for System Programming of the Russian Academy of Sciences（俄罗斯科学院伊万诺夫系统编程研究所） ； Lomonosov Moscow State University（莫斯科罗蒙诺索夫莫斯科大学） ； AIRI Institute（AIRI研究所） 纠错

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

Exploring the Potential of Large Language Models in Fine-Grained Review Comment Classification

Linh Nguyen, Chunhua Liu, Hong Yi Lin, Patanamon Thongtanunam

机构 * The University of Melbourne（墨尔本大学） 纠错

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

Comments Accepted at 2025 IEEE International Conference on Source Code Analysis & Manipulation (SCAM)

DP-GPT4MTS: Dual-Prompt Large Language Model for Textual-Numerical Time Series Forecasting

Chanjuan Liu, Shengzhi Wang, Enqiang Zhu

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

WarriorMath: Enhancing the Mathematical Ability of Large Language Models with a Defect-aware Framework

Yue Chen, Minghua He, Fangkai Yang, Pu Zhao, Lu Wang, Yu Kang, Yifei Dong, Yuefeng Zhan, Hao Sun, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang

机构 * Peking University（北京大学） ； Microsoft（微软） ； KTH Royal Institute of Technology（皇家理工学院） 纠错

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

SmilesT5: Domain-specific pretraining for molecular language models

Philip Spence, Brooks Paige, Anne Osbourn

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

Distilled Large Language Model in Confidential Computing Environment for System-on-Chip Design

Dong Ben, Hui Feng, Qian Wang

机构 * University of California, Merced（加州大学梅尔德分校） 纠错

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

Comments 7 pages, 4 figures;

Mangosteen: An Open Thai Corpus for Language Model Pretraining

Wannaphong Phatthiyaphaibun, Can Udomcharoenchaikit, Pakpoom Singkorapoom, Kunat Pipatanakul, Ekapol Chuangsuwanich, Peerat Limkonchotiwat, Sarana Nutanong

机构 * Vidyasirimedhi Institute of Science and Technology（维多亚西里米迪科学技术研究所） ； Chulalongkorn University（朱拉隆功大学） ； AI Singapore（AI新加坡） 纠错

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

Comments Work in Progress. All artifacts in this papers: https://huggingface.co/collections/aisingapore/wangchanlion-v3-687a362d8f0ea2fe4077c6b3

PRISM: Reducing Spurious Implicit Biases in Vision-Language Models with LLM-Guided Embedding Projection

Mahdiyar Molahasani, Azadeh Motamedi, Michael Greenspan, Il-Min Kim, Ali Etemad

机构 * Queen’s University（皇后大学） 纠错

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

Comments Accepted to ICCV 2025

A Framework for Synthetic Audio Conversations Generation using Large Language Models

Kaung Myat Kyaw, Jonathan Hoyin Chan

机构 * Innovative Cognitive Computing (IC2) Research Center（创新认知计算（IC2）研究中心） ； School of Information Technology（信息科技学院） ； King Mongkut's University of Technology Thonburi（泰国科技理工大学） 纠错

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

Comments This work has been accepted at the WI-IAT'24. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media

Journal ref IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2024, pp. 355--359

Large Language Models' Varying Accuracy in Recognizing Risk-Promoting and Health-Supporting Sentiments in Public Health Discourse: The Cases of HPV Vaccination and Heated Tobacco Products

Soojong Kim, Kwanho Kim, Hye Min Kim

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

Comments Forthcoming in Social Science & Medicine

ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation

Xuanle Zhao, Xianzhen Luo, Qi Shi, Chi Chen, Shuo Wang, Zhiyuan Liu, Maosong Sun

机构 * Tsinghua University, Beijing, China（清华大学） ； Harbin Institute of Technology（哈尔滨工业大学） 纠错

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

Comments Accepted by ACL 2025 Main, Camera Ready

Narrative Shift Detection: A Hybrid Approach of Dynamic Topic Models and Large Language Models

Kai-Robin Lange, Tobias Schmidt, Matthias Reccius, Henrik Müller, Michael Roos, Carsten Jentsch

机构 * Department of Statistics, TU Dortmund University（统计系，多特蒙德大学） ； Institute of Journalism, TU Dortmund University（新闻学院，多特蒙德大学） ； Faculty of Management and Economics, Ruhr University Bochum（管理与经济学院，波恩大学） 纠错

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

Comments 14 pages, 1 figure

Journal ref Proceedings of the Text2Story'25 Workshop (2025), 67-80

Demystifying the Visual Quality Paradox in Multimodal Large Language Models

Shuo Xing, Lanqing Guo, Hongyuan Hua, Seoyoung Lee, Peiran Li, Yufei Wang, Zhangyang Wang, Zhengzhong Tu

机构 * Texas A&M University（德克萨斯大学） ； University of Texas at Austin（德克萨斯大学奥斯汀分校） ； University of Toronto（多伦多大学） ； Nanyang Technological University（南洋理工大学） 纠错

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

Comments 18 pages

Identifying economic narratives in large text corpora -- An integrated approach using Large Language Models

Tobias Schmidt, Kai-Robin Lange, Matthias Reccius, Henrik Müller, Michael Roos, Carsten Jentsch

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

Comments 53 pages, 5 figures

Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration

Tianyi Bai, Ling Yang, Zhen Hao Wong, Fupeng Sun, Jiahui Peng, Xinlin Zhuang, Chi Zhang, Lijun Wu, Jiantao Qiu, Wentao Zhang, Binhang Yuan, Conghui He

机构 * Hong Kong University of Science and Technology（香港科技大学） ； Shanghai Artificial Intelligence Laborator（上海人工智能实验室） ； Peking University（北京大学） ； Zhongguancun Academy（中关村学院） ； Imperial College London（伦敦帝国理工学院） 纠错

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

Retrieval-augmented Large Language Models for Financial Time Series Forecasting

Mengxi Xiao, Zihao Jiang, Lingfei Qian, Zhengyu Chen, Yueru He, Yijing Xu, Yuecheng Jiang, Dong Li, Ruey-Ling Weng, Min Peng, Jimin Huang, Sophia Ananiadou, Qianqian Xie

机构 * School of Artificial Intelligence, Wuhan University（武汉大学人工智能学院） ； School of Computer Science, Wuhan University（武汉大学计算机学院） ； The Fin AI（Fin AI） ； Columbia University（哥伦比亚大学） ； Stevens Institute of Technology（史蒂文斯理工学院） ； University of Manchester（曼彻斯特大学） ； University of Montreal（蒙特利尔大学） 纠错

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

Comments 11 pages, 4 figures

Large Language Models are Demonstration Pre-Selectors for Themselves

Jiarui Jin, Yuwei Wu, Haoxuan Li, Xiaoting He, Weinan Zhang, Yiming Yang, Yong Yu, Jun Wang, Mengyue Yang

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

Comments ICML 2025

Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport

Minseok Choi, Daniel Rim, Dohyun Lee, Jaegul Choo

机构 * KAIST AI（韩国科学技术院人工智能研究所） ； Hyundai Motor Company（现代汽车公司） 纠错

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

Comments ACL 2025 Main

Linear Spatial World Models Emerge in Large Language Models

Matthieu Tehenan, Christian Bolivar Moya, Tenghai Long, Guang Lin

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

ICH-Qwen: A Large Language Model Towards Chinese Intangible Cultural Heritage

Wenhao Ye, Tiansheng Zheng, Yue Qi, Wenhua Zhao, Xiyu Wang, Xue Zhao, Jiacheng He, Yaya Zheng, Dongbo Wang

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

Comments 16 pages, 2 figures

Leveraging Encoder-only Large Language Models for Mobile App Review Feature Extraction

Quim Motger, Alessio Miaschi, Felice Dell'Orletta, Xavier Franch, Jordi Marco

机构 * Universitat Politècnica de Catalunya, Department of Service and Information System Engineering（巴塞罗那理工大学服务与信息系统工程系） ； Universitat Politècnica de Catalunya, Department of Computer Science（巴塞罗那理工大学计算机科学系） 纠错

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

Comments 46 pages, 7 tables, 11 figures