语言大模型 / LLM

On-Premise AI for the Newsroom: Evaluating Small Language Models for Investigative Document Search

Nick Hagar, Nicholas Diakopoulos, Jeremy Gilbert

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

Comments Accepted to Computation + Journalism Symposium 2025

Mind the Gap: A Review of Arabic Post-Training Datasets and Their Limitations

Mohammed Alkhowaiter, Norah Alshahrani, Saied Alshahrani, Reem I. Masoud, Alaa Alzahrani, Deema Alnuhait, Emad A. Alghamdi, Khalid Almubarak

机构 * Refine AI ； ASAS AI ； University of Bisha（比沙大学） ； University College London（伦敦大学学院） ； King Salman Global Academy for Arabic（萨勒曼全球阿拉伯学院） ； University of Illinois at Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） ； King Abdulaziz University（阿卜杜勒阿齐兹大学） ； HUMAIN 纠错

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

Effectiveness of Large Language Models in Simulating Regional Psychological Structures: An Empirical Examination of Personality and Subjective Well-being

Ke Luoma, Li Zengyi, Liao Jiangqun, Tong Song, Peng Kaiping

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

RL-Guided Data Selection for Language Model Finetuning

Animesh Jha, Harshit Gupta, Ananjan Nandi

机构 * Stanford University（斯坦福大学） 纠错

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

Comments To appear in NeurIPS 2025 Constrained Optimization for ML Workshop

Not Wrong, But Untrue: LLM Overconfidence in Document-Based Queries

Nick Hagar, Wilma Agustianto, Nicholas Diakopoulos

机构 * Northwestern University（西北大学） ； University of Minnesota（明尼苏达大学） 纠错

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

Comments Accepted to Computation + Journalism Symposium 2025

When Does Multimodality Lead to Better Time Series Forecasting?

Xiyuan Zhang, Boran Han, Haoyang Fang, Abdul Fatir Ansari, Shuai Zhang, Danielle C. Maddix, Cuixiong Hu, Andrew Gordon Wilson, Michael W. Mahoney, Hao Wang, Yan Liu, Huzefa Rangwala, George Karypis, Bernie Wang

机构 * Amazon Web Services（亚马逊网络服务） 纠错

专题命中 预训练与数据 ：large language model(abstract)；language model(abstract)；foundation model(abstract)；prompting(abstract)

GeoLink: Empowering Remote Sensing Foundation Model with OpenStreetMap Data

Lubian Bai, Xiuyuan Zhang, Siqi Zhang, Zepeng Zhang, Haoyu Wang, Wei Qin, Shihong Du

机构 * School of Earth and Space Sciences, Peking University（地球与空间科学学院，北京大学） ； College of Urban and Environmental Sciences, Peking University（城市与环境科学学院，北京大学） ； State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation, CAS（多模态人工智能系统国家重点实验室，中国科学院自动化研究所） ； Intelligent Maintenance and Operations Systems Lab（智能维护与运营系统实验室） 纠错

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

Comments NeurIPS 2025

From Cheap Geometry to Expensive Physics: Elevating Neural Operators via Latent Shape Pretraining

Zhizhou Zhang, Youjia Wu, Kaixuan Zhang, Yanjia Wang

机构 * Corporate Research Bosch (China) Investment Co., Ltd.（博世（中国）投资有限公司） 纠错

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

The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain

Adrian Kosowski, Przemysław Uznański, Jan Chorowski, Zuzanna Stamirowska, Michał Bartoszkiewicz

机构 * Pathway 纠错

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

Comments Code available at: https://github.com/pathwaycom/bdh Accompanying blog: https://pathway.com/research/bdh

The Media Bias Detector: A Framework for Annotating and Analyzing the News at Scale

Samar Haider, Amir Tohidi, Jenny S. Wang, Timothy Dörr, David M. Rothschild, Chris Callison-Burch, Duncan J. Watts

机构 * Department of Computer and Information Science, University of Pennsylvania（计算机与信息科学系，宾夕法尼亚大学） ； Harvard Business School（哈佛商学院） ； Microsoft Research（微软研究院） ； Annenberg School for Communication, University of Pennsylvania（传播学院，宾夕法尼亚大学） ； Department of Operations, Information, and Decisions, University of Pennsylvania（运营、信息与决策系，宾夕法尼亚大学） 纠错

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

Pretrain-Test Task Alignment Governs Generalization in In-Context Learning

Mary I. Letey, Jacob A. Zavatone-Veth, Yue M. Lu, Cengiz Pehlevan

机构 * John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA（哈佛大学约翰·A·保罗森工程与应用科学学院） ； Kempner Institute for the Study of Natural and Artificial Intelligence, Harvard University, Cambridge, MA, USA（哈佛大学自然与人工智能研究 institute） ； Society of Fellows, Harvard University, Cambridge, MA, USA（哈佛大学 fellows 社会） ； Center for Brain Science, Harvard University, Cambridge, MA, USA（哈佛大学脑科学中心） 纠错

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

Are neural scaling laws leading quantum chemistry astray?

Siwoo Lee, Adji Bousso Dieng

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

Reevaluating Convolutional Neural Networks for Spectral Analysis: A Focus on Raman Spectroscopy

Deniz Soysal, Xabier García-Andrade, Laura E. Rodriguez, Pablo Sobron, Laura M. Barge, Renaud Detry

机构 * Lunar \& Planetary Institute, Universities Space Research Association, 3600 Bay Area Boulevard, Houston, TX 77058, USA ； Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, La Cañada Flintridge, CA 91011, USA ； KU Leuven, Dept.\ Electrical Engineering, Research Unit Processing Speech 纠错

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

Journal ref ACS Earth and Space Chemistry, 2025, ASAP

Speculating LLMs' Chinese Training Data Pollution from Their Tokens

Qingjie Zhang, Di Wang, Haoting Qian, Liu Yan, Tianwei Zhang, Ke Xu, Qi Li, Minlie Huang, Hewu Li, Han Qiu

机构 * Tsinghua University（清华大学） ； Ant Group（蚂蚁集团） ； Nanyang Technological University（南洋理工大学） ； Zhongguancun Laboratory（中关村实验室） 纠错

专题命中 预训练与数据 ：LLM(abstract)；分类 cs.CL

FoundBioNet: A Foundation-Based Model for IDH Genotyping of Glioma from Multi-Parametric MRI

Somayeh Farahani, Marjaneh Hejazi, Antonio Di Ieva, Sidong Liu

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

Comments Accepted for oral and poster presentation at MICCAI 2025

The generative quantum eigensolver (GQE) and its application for ground state search

Kouhei Nakaji, Lasse Bjørn Kristensen, Ryota Kemmoku, Jorge A. Campos-Gonzalez-Angulo, Mohammad Ghazi Vakili, Haozhe Huang, Mohsen Bagherimehrab, Christoph Gorgulla, FuTe Wong, Alex McCaskey, Jin-Sung Kim, Thien Nguyen, Pooja Rao, Qi Gao, Michihiko Sugawara, Naoki Yamamoto, Alán Aspuru-Guzik

专题命中 预训练与数据 ：pretraining(abstract)

Comments 18 pages, 8 figures