语言大模型 / LLM

Quantized Large Language Models in Biomedical Natural Language Processing: Evaluation and Recommendation

Zaifu Zhan, Shuang Zhou, Min Zeng, Kai Yu, Meijia Song, Xiaoyi Chen, Jun Wang, Yu Hou, Rui Zhang

机构 * Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA（电气与计算机工程系，明尼苏达大学，明尼阿波利斯，MN，美国） ； Division of Computational Health Sciences, Department of Surgery, University of Minnesota, Minneapolis, MN, USA（计算健康科学 division，外科系，明尼苏达大学，明尼阿波利斯，MN，美国） ； School of Nursing, University of Minnesota, Minneapolis, MN, USA（护理学院，明尼苏达大学，明尼阿波利斯，MN，美国） 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.AI

Comments 11 pages, 7 figures

The Ethical Compass of the Machine: Evaluating Large Language Models for Decision Support in Construction Project Management

Somtochukwu Azie, Yiping Meng

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

Comments 16 Pages

Integrating Large Language Models in Software Engineering Education: A Pilot Study through GitHub Repositories Mining

Maryam Khan, Muhammad Azeem Akbar, Jussi Kasurinen

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

ODKE+: Ontology-Guided Open-Domain Knowledge Extraction with LLMs

Samira Khorshidi, Azadeh Nikfarjam, Suprita Shankar, Yisi Sang, Yash Govind, Hyun Jang, Ali Kasgari, Alexis McClimans, Mohamed Soliman, Vishnu Konda, Ahmed Fakhry, Xiaoguang Qi

机构 * Apple Inc（苹果公司） 纠错

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

Collaboration and Conflict between Humans and Language Models through the Lens of Game Theory

Mukul Singh, Arjun Radhakrishna, Sumit Gulwani

机构 * Microsoft Redmond（微软红mond） 纠错

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

Comments 9 pages

FloodVision: Urban Flood Depth Estimation Using Foundation Vision-Language Models and Domain Knowledge Graph

Zhangding Liu, Neda Mohammadi, John E. Taylor

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

Multimodal Foundation Model-Driven User Interest Modeling and Behavior Analysis on Short Video Platforms

Yushang Zhao, Yike Peng, Li Zhang, Qianyi Sun, Zhihui Zhang, Yingying Zhuang

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

Code Review Without Borders: Evaluating Synthetic vs. Real Data for Review Recommendation

Yogev Cohen, Dudi Ohayon, Romy Somkin, Yehudit Aperstein, Alexander Apartsin

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

Comments 4 pages, 1 figure

VLSM-Ensemble: Ensembling CLIP-based Vision-Language Models for Enhanced Medical Image Segmentation

Julia Dietlmeier, Oluwabukola Grace Adegboro, Vayangi Ganepola, Claudia Mazo, Noel E. O'Connor

机构 * Insight Research Ireland Centre for Data Analytics, DCU, Dublin, Ireland（爱尔兰洞察研究爱尔兰数据分析中心，都柏林大学，都柏林） ； Research Ireland Centre for Research Training in Machine Learning, DCU, Dublin, Ireland（爱尔兰研究爱尔兰机器学习研究培训中心，都柏林大学，都柏林） ； School of Computing, Dublin City University, Dublin, Ireland（计算学院，都柏林城市大学，都柏林） 纠错

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

Comments Medical Imaging with Deep Learning (MIDL 2025) short paper

Optimizing Small Transformer-Based Language Models for Multi-Label Sentiment Analysis in Short Texts

Julius Neumann, Robert Lange, Yuni Susanti, Michael Färber

机构 * ScaDS.AI, TU Dresden, Germany（ScaDS.AI，图腾德斯大学，德国） ； FIZ Karlsruhe, Germany（卡尔斯鲁厄研究所，德国） 纠错

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

Comments Accepted at LDD@ECAI 2025

Decoders Laugh as Loud as Encoders

Eli Borodach, Raj Dandekar, Rajat Dandekar, Sreedath Panat

机构 * Vizuara AI Labs（Vizuara人工智能实验室） 纠错

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

Using LLMs for Multilingual Clinical Entity Linking to ICD-10

Sylvia Vassileva, Ivan Koychev, Svetla Boytcheva

机构 * Faculty of Mathematics and Informatics, Sofia University St. Kliment Ohridski（数学与信息学系，索菲亚大学圣克莱门特·奥赫里迪斯基） 纠错

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

Comments 7 pages, 2 Figures, to be published in Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing, RANLP 2025

The dynamic interplay between in-context and in-weight learning in humans and neural networks

Jacob Russin, Ellie Pavlick, Michael J. Frank

机构 * Department of Computer Science（计算机科学系） ； Department of Cognitive and Psychological Sciences（认知与心理学系） ； Brown University（布朗大学） 纠错

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

Comments 15 pages (excluding appendix and references), 10 pages of appendix, 14 figures, 7 tables. Previous version accepted as a talk + full paper at CogSci 2024

Journal ref Published in Proceedings of the National Academy of Sciences, U.S.A., 122 (35) e251027012 (2025)

Shared Autonomy through LLMs and Reinforcement Learning for Applications to Ship Hull Inspections

Cristiano Caissutti, Estelle Gerbier, Ehsan Khorrambakht, Paolo Marinelli, Andrea Munafo', Andrea Caiti

机构 * Dept. of Information Engineering University of Pisa, Italy Pisa, Italy（信息工程系 乌迪内大学 乌迪内，意大利） 纠错

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

BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling

Hao Li, Yu-Hao Huang, Chang Xu, Viktor Schlegel, Renhe Jiang, Riza Batista-Navarro, Goran Nenadic, Jiang Bian

机构 * Microsoft Research（微软研究院） ； The University of Manchester, UK（英国曼彻斯特大学） ； Nanjing University, China（南京大学） ； Imperial College London, Imperial Global Singapore, Singapore（伦敦帝国学院，新加坡帝国全球分校，新加坡） ； The University of Tokyo, Japan（日本东京大学） 纠错

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

Comments ICML 2025 Main Conference

In-Context Policy Adaptation via Cross-Domain Skill Diffusion

Minjong Yoo, Woo Kyung Kim, Honguk Woo

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

Comments 9 pages

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 2025

All That Glitters is Not Novel: Plagiarism in AI Generated Research

Tarun Gupta, Danish Pruthi

机构 * Indian Institute of Science（印度科学研究所） 纠错

专题命中 领域大模型 ：LLM(abstract)；分类 cs.CL

Comments Accepted to ACL 2025 (main) conference

Dual-Domain Perspective on Degradation-Aware Fusion: A VLM-Guided Robust Infrared and Visible Image Fusion Framework

Tianpei Zhang, Jufeng Zhao, Yiming Zhu, Guangmang Cui

专题命中 领域大模型 ：language model(abstract)