语言大模型 / LLM

Evaluating the Role of Large Language Models in Legal Practice in India

Rahul Hemrajani

机构 * National Law School of India（印度国家法律学校） 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

Specialised or Generic? Tokenization Choices for Radiology Language Models

Hermione Warr, Wentian Xu, Harry Anthony, Yasin Ibrahim, Daniel McGowan, Konstantinos Kamnitsas

机构 * Department of Engineering Science, University of Oxford, Oxford, UK（牛津大学工程科学系） ； Department of Oncology, University of Oxford, UK（牛津大学肿瘤学系） ； Department of Medical Physics and Clinical Engineering, Oxford University Hospitals NHS FT, Oxford, UK（牛津大学医院医学物理与临床工程系） ； Department of Computing, Imperial College London, London, UK（伦敦帝国理工学院计算机系） ； School of Computer Science, University of Birmingham, Birmingham, UK（伯明翰大学计算机科学学院） 纠错

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

Comments Accepted to ELAMI@MICCAI2025

PDEformer-2: A Versatile Foundation Model for Two-Dimensional Partial Differential Equations

Zhanhong Ye, Zining Liu, Bingyang Wu, Hongjie Jiang, Leheng Chen, Minyan Zhang, Xiang Huang, Qinghe Meng. Jingyuan Zou, Hongsheng Liu, Bin Dong

专题命中 领域大模型 ：foundation model(title,abstract)；pretraining(abstract)

Chemist Eye: A Visual Language Model-Powered System for Safety Monitoring and Robot Decision-Making in Self-Driving Laboratories

Francisco Munguia-Galeano, Zhengxue Zhou, Satheeshkumar Veeramani, Hatem Fakhruldeen, Louis Longley, Rob Clowes, Andrew I. Cooper

机构 * Cooper Group, Department of Chemistry, University of Liverpool（Cooper集团，化学系，利物浦大学） 纠错

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

On the Reliability of Vision-Language Models Under Adversarial Frequency-Domain Perturbations

Jordan Vice, Naveed Akhtar, Yansong Gao, Richard Hartley, Ajmal Mian

机构 * University of Western Australia（西澳大学） ； University of Melbourne（墨尔本大学） ； Australian National University（澳大利亚国立大学） 纠错

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

Comments Keywords: Vision-Language Models, Frequency-Domain Perturbations, Adversarial Robustness, Image Authenticity, Reliability

From Hard Refusals to Safe-Completions: Toward Output-Centric Safety Training

Yuan Yuan, Tina Sriskandarajah, Anna-Luisa Brakman, Alec Helyar, Alex Beutel, Andrea Vallone, Saachi Jain

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

Capabilities of GPT-5 on Multimodal Medical Reasoning

Shansong Wang, Mingzhe Hu, Qiang Li, Mojtaba Safari, Xiaofeng Yang

机构 * Department of Radiation Oncology, Winship Cancer Institute, Emory University School of Medicine（放射肿瘤科、Winship癌症研究所、埃默里大学医学院） 纠错

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

Comments Corrected some typos

DSS-Prompt: Dynamic-Static Synergistic Prompting for Few-Shot Class-Incremental Learning

Linpu He, Yanan Li, Bingze Li, Elvis Han Cui, Donghui Wang

机构 * Department of Computer Science and Technology, Zhejiang University（浙江大学计算机科学与技术系） ； Research Center for Frontier Fundamental Studies, Zhejiang Lab（浙江实验室前沿基础研究中心） ； Department of Neurology, University of California, Irvine（加州大学伊市医学院神经科） 纠错

专题命中 领域大模型 ：prompting(title)

Comments Accepted to ACMMM 2025

HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss

Abdul Matin, Tanjim Bin Faruk, Shrideep Pallickara, Sangmi Lee Pallickara

机构 * Colorado State University（科罗拉多州立大学） 纠错

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

Generative Artificial Intelligence in Medical Imaging: Foundations, Progress, and Clinical Translation

Xuanru Zhou, Cheng Li, Shuqiang Wang, Ye Li, Tao Tan, Hairong Zheng, Shanshan Wang

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

Privacy-Preserving Models for Legal Natural Language Processing

Ying Yin, Ivan Habernal

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

Comments Camera ready, to appear at the Natural Legal Language Processing Workshop 2022 co-located with EMNLP

Analysis of Domain Shift across ASR Architectures via TTS-Enabled Separation of Target Domain and Acoustic Conditions

Tina Raissi, Nick Rossenbach, Ralf Schlüter

机构 * Human Language Technology Group RWTH Aachen University Aachen, Germany（人类语言技术小组 拉夫·海因里希·魏德廷亚琛大学 德国亚琛） ； Human Language Technology Group RWTH Aachen University AppTek GmbH Aachen, Germany（人类语言技术小组 拉夫·海因里希·魏德廷亚琛大学 AppTek GmbH 德国亚琛） 纠错

专题命中 领域大模型 ：language model(abstract)

Comments Accepted for presentation at IEEE ASRU 2025

Towards Self-cognitive Exploration: Metacognitive Knowledge Graph Retrieval Augmented Generation

Xujie Yuan, Shimin Di, Jielong Tang, Libin Zheng, Jian Yin

专题命中 领域大模型 ：language model(abstract)