语言大模型 / LLM

InstaGeo: Compute-Efficient Geospatial Machine Learning from Data to Deployment

Ibrahim Salihu Yusuf, Iffanice Houndayi, Rym Oualha, Mohamed Aziz Cherif, Kobby Panford-Quainoo, Arnu Pretorius

机构 * InstaDeep 纠错

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

ATOM: A Pretrained Neural Operator for Multitask Molecular Dynamics

Luke Thompson, Davy Guan, Dai Shi, Slade Matthews, Junbin Gao, Andi Han

机构 * The University of Sydney（悉尼大学） ； Data61 CSIRO（Data61 物理研究所） ； University of Cambridge（剑桥大学） 纠错

专题命中 效率与部署 ：pretraining(abstract)；分类 cs.LG

Inference-Time Text-to-Video Alignment with Diffusion Latent Beam Search

Yuta Oshima, Masahiro Suzuki, Yutaka Matsuo, Hiroki Furuta

机构 * The University of Tokyo（东京大学） ； Google DeepMind（谷歌DeepMind） 纠错

专题命中 效率与部署 ：language model(abstract)

Comments Accepted to NeurIPS2025. Website: https://sites.google.com/view/t2v-dlbs and Code: https://github.com/shim0114/T2V-Diffusion-Search

Data Factory with Minimal Human Effort Using VLMs

Jiaojiao Ye, Jiaxing Zhong, Qian Xie, Yuzhou Zhou, Niki Trigoni, Andrew Markham

专题命中 效率与部署 ：language model(abstract)

Comments Tech report

Towards Structured Knowledge: Advancing Triple Extraction from Regional Trade Agreements using Large Language Models

Durgesh Nandini, Rebekka Koch, Mirco Schoenfeld

机构 * University of Bayreuth, Bayreuth, Germany（拜罗伊特大学） 纠错

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

Agent-Enhanced Large Language Models for Researching Political Institutions

Joseph R. Loffredo, Suyeol Yun

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

Comments 46 pages, 6 figures

Generative transformations and patterns in LLM-native approaches for software verification and falsification

Víctor A. Braberman, Flavia Bonomo-Braberman, Yiannis Charalambous, Juan G. Colonna, Lucas C. Cordeiro, Rosiane de Freitas

机构 * Department of Computer Science, The University of Manchester（曼彻斯特大学计算机科学系） ； Instituto de Computação (ICOMP-UFAM), Universidade Federal do Amazonas（亚马逊联邦大学计算学院（ICOMP-UFAM）） 纠错

专题命中 领域大模型 ：LLM(title,abstract)；large language model(abstract)；language model(abstract)；prompting(abstract)

SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language Models

Kehua Feng, Xinyi Shen, Weijie Wang, Xiang Zhuang, Yuqi Tang, Qiang Zhang, Keyan Ding

机构 * College of Computer Science and Technology, Zhejiang University（浙江大学计算机科学与技术学院） ； ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University（浙江大学Hangzhou全球科技创新中心） ； ZJU-UIUC Institute, Zhejiang University（浙江大学UIUC研究院） 纠错

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

Comments 33 pages, 2 figures

Adapting Large Language Models to Mitigate Skin Tone Biases in Clinical Dermatology Tasks: A Mixed-Methods Study

Kiran Nijjer, Ryan Bui, Derek Jiu, Adnan Ahmed, Peter Wang, Kevin Zhu, Lilly Zhu

机构 * Stanford University（斯坦福大学） ； Algoverse AI Research（Algoverse人工智能研究） 纠错

专题命中 领域大模型 ：large language model(title,abstract)；language model(title,abstract)

Comments Accepted to EADV (European Academy of Dermatology) and SID (Society for Investigative Dermatology)

Harnessing LLM for Noise-Robust Cognitive Diagnosis in Web-Based Intelligent Education Systems

Guixian Zhang, Guan Yuan, Ziqi Xu, Yanmei Zhang, Jing Ren, Zhenyun Deng, Debo Cheng

机构 * School of Computer Science and Technology/School of Artificial Intelligence, China University of Mining and Technology（计算机科学与技术学院/人工智能学院，中国矿业大学） ； School of Computing Technologies, RMIT University（计算技术学院，拉筹伯大学） ； Department of Computer Science and Technology, University of Cambridge（计算机科学与技术系，剑桥大学） ； School of Computer Science and Technology, Hainan University（计算机科学与技术学院，海南大学） 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

MathVC: An LLM-Simulated Multi-Character Virtual Classroom for Mathematics Education

Murong Yue, Wenhan Lyu, Jennifer Suh, Yixuan Zhang, Ziyu Yao

机构 * George Mason University（乔治·马歇尔大学） 纠错

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

Comments Accepted by AAAI 2025 workshop

Graph-based LLM over Semi-Structured Population Data for Dynamic Policy Response

Daqian Shi, Xiaolei Diao, Jinge Wu, Honghan Wu, Xiongfeng Tang, Felix Naughton, Paulina Bondaronek

机构 * Institute of Health Informatics, UCL, UK（健康信息学研究所，伦敦大学学院，英国） ； School of Electronic Engineering and Computer Science, QMUL, UK（电子工程与计算机科学学院，伦敦大学玛丽王后学院，英国） ； School of Health and Wellbeing, University of Glasgow, UK（健康与福祉学院，格拉斯哥大学，英国） ； The Second Norman Bethune Hospital of Jilin University, China（吉林大学第二诺曼·贝图医院，中国） ； School of Health Sciences, University of East Anglia, UK（健康科学学院，东安格利亚大学，英国） 纠错

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

Comments Accepted by Efficient Medical AI 2025 Workshop, MICCAI 2025

Constraint-Aware Route Recommendation from Natural Language via Hierarchical LLM Agents

Tao Zhe, Rui Liu, Fateme Memar, Xiao Luo, Wei Fan, Xinyue Ye, Zhongren Peng, Dongjie Wang

机构 * University of Kansas（堪萨斯大学） ； UW–Madison（威斯康星大学麦迪逊分校） ； University of Auckland（奥克兰大学） ； University of Alabama（阿拉巴马大学） ； University of Florida（佛罗里达大学） 纠错

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

Medical Vision Language Models as Policies for Robotic Surgery

Akshay Muppidi, Martin Radfar

机构 * Department of Computer Science（计算机科学系） ； Stony Brook University（史泰尼斯布鲁克大学） 纠错

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

Comments IEEE CAI 2025

Journal ref 2025 IEEE Conference on Artificial Intelligence (CAI), Santa Clara, CA, USA, 2025, pp. 513,518

Contrastive Learning Using Graph Embeddings for Domain Adaptation of Language Models in the Process Industry

Anastasia Zhukova, Jonas Lührs, Christian E. Lobmüller, Bela Gipp

机构 * University of Göttingen（戈丁根大学） ； eschbach GmbH（eschbach公司） 纠错

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

Comments accepted to EMNLP 2025 (industry track)

Discrete Diffusion Models with MLLMs for Unified Medical Multimodal Generation

Jiawei Mao, Yuhan Wang, Lifeng Chen, Can Zhao, Yucheng Tang, Dong Yang, Liangqiong Qu, Daguang Xu, Yuyin Zhou

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

Comments 16 pages,6 figures

Adaptive and Multi-Source Entity Matching for Name Standardization of Astronomical Observation Facilities

Liza Fretel, Baptiste Cecconi, Laura Debisschop

机构 * Paris Observatory（巴黎天文台） 纠错

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

Comments Accepted in Ontology Matching 2025 conference proceedings

Chrysalis: A Unified System for Comparing Active Teaching and Passive Learning with AI Agents in Education

Prashanth Arun, Vinita Vader, Erya Xu, Brent McCready-Branch, Sarah Seabrook, Kyle Scholz, Ana Crisan, Igor Grossmann, Pascal Poupart

专题命中 领域大模型 ：LLM(abstract)；large language model(abstract)；language model(abstract)

Comments 13 pages. Submitted to EAAI-26 symposium. Under review

Physics-Informed Machine Learning in Biomedical Science and Engineering

Nazanin Ahmadi, Qianying Cao, Jay D. Humphrey, George Em Karniadakis

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

Comments Accepted for publication in the Annual Review of Biomedical Engineering on October 2, 2025

Scientific Algorithm Discovery by Augmenting AlphaEvolve with Deep Research

Gang Liu, Yihan Zhu, Jie Chen, Meng Jiang

机构 * University of Notre Dame（诺丁汉大学） ； MIT-IBM Watson AI Lab, IBM Research（麻省理工-IBM Watson AI实验室，IBM研究） 纠错

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

Comments 25 pages, 17 figures, 4 tables

Seeing the Big Picture: Evaluating Multimodal LLMs' Ability to Interpret and Grade Handwritten Student Work

Owen Henkel, Bill Roberts, Doug Jaffe, Laurence Holt

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

Explaining GPTs' Schema of Depression: A Machine Behavior Analysis

Adithya V Ganesan, Vasudha Varadarajan, Yash Kumar Lal, Veerle C. Eijsbroek, Katarina Kjell, Oscar N. E. Kjell, Tanuja Dhanasekaran, Elizabeth C. Stade, Johannes C. Eichstaedt, Ryan L. Boyd, H. Andrew Schwartz, Lucie Flek

机构 * Stony Brook University（石溪大学） ； Carnegie Mellon University（卡内基梅隆大学） ； Lund University（吕勒欧大学） ； Stanford University（斯坦福大学） ； Institute of Human-Centered AI at Stanford University（斯坦福大学人机交互人工智能研究所） ； The University of Texas at Dallas（德克萨斯大学达拉斯分校） ； Vanderbilt University（范德比大学） ； University of Bonn（波恩大学） ； The Lamarr Institute for Machine Learning & Artificial Intelligence（拉马尔人工智能与机器学习研究所） 纠错

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

Comments 25 pages, 1 table, 4 figures, 1 supplementary table, 5 supplementary figures, 59 references

Fusion-Based Neural Generalization for Predicting Temperature Fields in Industrial PET Preform Heating

Ahmad Alsheikh, Andreas Fischer

机构 * Deggendorf Institute of Technology（德格多夫技术学院） 纠错

专题命中 领域大模型 ：pretraining(abstract)；分类 cs.AI、cs.LG

Comments Workshop paper, AIP2025: Second Workshop on AI in Production (2025). Licensed under CC BY 4.0

TimeSeriesScientist: A General-Purpose AI Agent for Time Series Analysis

Haokun Zhao, Xiang Zhang, Jiaqi Wei, Yiwei Xu, Yuting He, Siqi Sun, Chenyu You

机构 * Stony Brook University（石溪大学） ； University of California, San Diego（加州大学圣地亚哥分校） ； University of British Columbia（不列颠哥伦比亚大学） ； Zhejiang University（浙江大学） ； University of California, Los Angeles（加州大学洛杉矶分校） ； Case Western Reserve University（凯斯西储大学） ； Fudan University（复旦大学） 纠错

专题命中 领域大模型 ：LLM(abstract)；分类 cs.LG

Reinforcement Learning for Clinical Reasoning: Aligning LLMs with ACR Imaging Appropriateness Criteria

Anni Tziakouri, Filippo Menolascina

专题命中 领域大模型 ：LLM(abstract)

Hallucination Detox: Sensitivity Dropout (SenD) for Large Language Model Training

Shahrad Mohammadzadeh, Juan David Guerra, Marco Bonizzato, Reihaneh Rabbany, Golnoosh Farnadi

机构 * McGill University（麦吉尔大学） ； Polytechnique Montréal（蒙特利尔理工学院） ； Université de Montréal（蒙特利尔大学） ； Mila - Quebec Artificial Intelligence Institute（魁北克人工智能研究所） ； CIFAR AI Chair（CIFAR人工智能主席） 纠错

专题命中 知识编辑与模型理解 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.CL、cs.AI

Comments Accepted to ACL 2025, accepted to Safe Generative AI Workshop @ NeurIPS 2024. Camera-ready version for ACL 2025 (to appear). Submitted July 2025

Journal ref Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 5538-5554, 2025

Large Language Model-Based Uncertainty-Adjusted Label Extraction for Artificial Intelligence Model Development in Upper Extremity Radiography

Hanna Kreutzer, Anne-Sophie Caselitz, Thomas Dratsch, Daniel Pinto dos Santos, Christiane Kuhl, Daniel Truhn, Sven Nebelung

机构 * Lab for Artificial Intelligence in Medicine, Department of Diagnostic and Interventional Radiology, University Hospital Aachen（人工智能医学实验室，诊断与介入放射科，亚琛大学医院） ； Department of Diagnostic and Interventional Radiology, University Hospital Aachen（诊断与介入放射科，亚琛大学医院） ； Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne（诊断与介入放射学研究所，医学学院和科隆大学医院，科隆大学） ； Department of Diagnostic and Interventional Radiology, University Medical Center Mainz（诊断与介入放射科，马因茨大学医学中心） 纠错

专题命中 知识编辑与模型理解 ：large language model(title)；language model(title)；分类 cs.AI

Comments 28 pages, 6 figures

Extracting PAC Decision Trees from Black Box Binary Classifiers: The Gender Bias Case Study on BERT-based Language Models

Ana Ozaki, Roberto Confalonieri, Ricardo Guimarães, Anders Imenes

机构 * Universitetet i Oslo, Norway（奥斯陆大学） ； Universita degli Studi di Padova, Italy（帕多瓦大学） ； Universitetet i Bergen, Norway（卑尔根大学） 纠错

专题命中 知识编辑与模型理解 ：language model(title,abstract)；分类 cs.AI、cs.LG

Comments This is a revision of the version published at AAAI 2025. We fixed an issue in Theorem 8 and run again all the experiments. We also fixed small grammar mistakes found while producing this revised version

OWL: Probing Cross-Lingual Recall of Memorized Texts via World Literature

Alisha Srivastava, Emir Korukluoglu, Minh Nhat Le, Duyen Tran, Chau Minh Pham, Marzena Karpinska, Mohit Iyyer

专题命中 知识编辑与模型理解 ：large language model(abstract)；language model(abstract)；pretraining(abstract)；分类 cs.CL、cs.AI

Comments Accepted to EMNLP 2025 Main

A novel hallucination classification framework

Maksym Zavhorodnii, Dmytro Dehtiarov, Anna Konovalenko

机构 * Instituto Superior Técnico, Universidade de Lisboa（里斯本大学技术学院） ； Molde University College（莫尔德大学学院） 纠错

专题命中 知识编辑与模型理解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI

Comments 15 pages, 3 figures