语言大模型 / LLM - arXivDaily 专题

2507.14241 2025-07-28 cs.CL cs.AI 90%

Promptomatix: An Automatic Prompt Optimization Framework for Large Language Models

Rithesh Murthy, Ming Zhu, Liangwei Yang, Jielin Qiu, Juntao Tan, Shelby Heinecke, Caiming Xiong, Silvio Savarese, Huan Wang

机构 * Salesforce AI Research（Salesforce AI研究院）

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

2409.00920 2025-07-28 cs.LG cs.AI cs.CL 85%

ToolACE: Winning the Points of LLM Function Calling

Weiwen Liu, Xu Huang, Xingshan Zeng, Xinlong Hao, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Zhengying Liu, Yuanqing Yu, Zezhong Wang, Yuxian Wang, Wu Ning, Yutai Hou, Bin Wang, Chuhan Wu, Xinzhi Wang, Yong Liu, Yasheng Wang, Duyu Tang, Dandan Tu, Lifeng Shang, Xin Jiang, Ruiming Tang, Defu Lian, Qun Liu, Enhong Chen

机构 * Shanghai Jiao Tong University（上海交通大学）； University of Science and Technology of China（中国科学技术大学）； Huawei Noah’s Ark Lab（华为诺亚实验室）； Huawei Technologies Co., Ltd（华为技术有限公司）； Tsinghua University（清华大学）； The Chinese University of Hong Kong（香港中文大学）

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、cs.LG

Comments 21 pages, 22 figures

2412.12591 2025-07-28 cs.CL 81%

LLMs are Also Effective Embedding Models: An In-depth Overview

Chongyang Tao, Tao Shen, Shen Gao, Junshuo Zhang, Zhen Li, Kai Hua, Wenpeng Hu, Zhengwei Tao, Shuai Ma

机构 * Beihang University（北航大学）； SKLSDE Lab, Beihang University（北航SKLSDE实验室）； University of Technology Sydney（悉尼大学）； University of Electronic Science and Technology of China（电子科技大学）； Peking University（北京大学）

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

Comments 38 pages

2501.07783 2025-07-28 cs.CV cs.CL 77%

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding

Zhaokai Wang, Xizhou Zhu, Xue Yang, Gen Luo, Hao Li, Changyao Tian, Wenhan Dou, Junqi Ge, Lewei Lu, Yu Qiao, Jifeng Dai

机构 * Shanghai Jiao Tong University（上海交通大学）； Tsinghua University（清华大学）； Shanghai Artificial Intelligence Laboratory（上海人工智能实验室）； The Chinese University of Hong Kong（香港中文大学）； Sensetime

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

Journal ref TPAMI 2025

2504.14508 2025-07-28 cs.LG 70%

Less is More: Adaptive Coverage for Synthetic Training Data

Sasan Tavakkol, Max Springer, Mohammadhossein Bateni, Neslihan Bulut, Vincent Cohen-Addad, MohammadTaghi Hajiaghayi

机构 * Google Research（谷歌研究）； University of Maryland（马里兰大学）

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

2507.19054 2025-07-28 cs.CV cs.AI cs.CL cs.IR cs.LG 67%

Closing the Modality Gap for Mixed Modality Search

Binxu Li, Yuhui Zhang, Xiaohan Wang, Weixin Liang, Ludwig Schmidt, Serena Yeung-Levy

机构 * Stanford University（斯坦福大学）

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

Comments Project page: https://yuhui-zh15.github.io/MixedModalitySearch/

2410.06315 2025-07-28 cs.RO 50%

Incremental Learning for Robot Shared Autonomy

Yiran Tao, Guixiu Qiao, Dan Ding, Zackory Erickson

机构 * Robotics Institute, Carnegie Mellon University（卡内基梅隆大学机器人研究所）； National Institute of Standards and Technology（国家标准技术研究院）； Department of Rehabilitation Science and Technology, School of Health and Rehabilitation Sciences, University of Pittsburgh（匹兹堡大学健康与康复科学学院康复科学与技术系）

专题命中预训练与数据：pretraining(abstract)

1. 预训练与数据 7 篇