AI 大模型

语言大模型 / LLM

大语言模型、预训练、指令微调、后训练和语言模型应用。

2025-07-25 至 2025-07-25 共收录 5 篇信号源：cs.CL, cs.AI, cs.LG

1. 领域大模型 5 篇

2407.19795 2025-07-25 cs.CL cs.AI cs.CV 86%

VolDoGer: LLM-assisted Datasets for Domain Generalization in Vision-Language Tasks

Juhwan Choi, Junehyoung Kwon, JungMin Yun, Seunguk Yu, YoungBin Kim

机构 * AITRICS Seoul（AITRICS首尔）； Chung-Ang University（Chung-ang 大学）

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

Comments ICCV 2025 Workshop on Curated Data for Efficient Learning (CDEL)

2502.01108 2025-07-25 cs.LG cs.AI eess.SP 81%

Pulse-PPG: An Open-Source Field-Trained PPG Foundation Model for Wearable Applications Across Lab and Field Settings

Mithun Saha, Maxwell A. Xu, Wanting Mao, Sameer Neupane, James M. Rehg, Santosh Kumar

机构 * University of Memphis（密苏里大学）； University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校）

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

Comments Saha and Xu are co-first authors

2507.18263 2025-07-25 cs.CL cs.AI 76%

Locate-and-Focus: Enhancing Terminology Translation in Speech Language Models

Suhang Wu, Jialong Tang, Chengyi Yang, Pei Zhang, Baosong Yang, Junhui Li, Junfeng Yao, Min Zhang, Jinsong Su

机构 * Department of Digital Media Technology, Xiamen University（厦门大学数字媒体技术系）； Tongyi Lab（通义实验室）； Soochow University（苏州大学）； Key Laboratory of Digital Protection and Intelligent Processing of Intangible Cultural Heritage of Fujian and Taiwan (Xiamen University), Ministry of Culture and Tourism, China（福建省和台湾非物质文化遗产数字化保护与智能处理重点实验室（厦门大学），中华人民共和国文化和旅游部，中国）

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

Comments Accepted at ACL 2025

2507.02987 2025-07-25 cs.CV cs.LG 68%

Leveraging the Structure of Medical Data for Improved Representation Learning

Andrea Agostini, Sonia Laguna, Alain Ryser, Samuel Ruiperez-Campillo, Moritz Vandenhirtz, Nicolas Deperrois, Farhad Nooralahzadeh, Michael Krauthammer, Thomas M. Sutter, Julia E. Vogt

机构 * Department of Computer Science, ETH Zurich, Zurich, Switzerland（苏黎世联邦理工学院计算机科学系）； Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland（苏黎世大学定量生物医学系）

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

Journal ref Published at the ICML 2025 Workshop on Multi-modal Foundation Models and Large Language Models for Life Sciences

2507.18481 2025-07-25 cs.CV 50%

Q-Former Autoencoder: A Modern Framework for Medical Anomaly Detection

Francesco Dalmonte, Emirhan Bayar, Emre Akbas, Mariana-Iuliana Georgescu

机构 * University of Bologna（博洛尼亚大学）； Middle East Technical University（中东技术大学）； Helmholtz Munich（慕尼黑海德堡研究所）

专题命中领域大模型：foundation model(abstract)

Comments 15 pages