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。

2025-08-04 至 2025-08-04 共收录 5 篇信号源：cs.CL, cs.AI, cs.LG

1. 知识编辑与模型理解 5 篇

2503.02442 2025-08-04 cs.CL 88%

AILS-NTUA at SemEval-2025 Task 3: Leveraging Large Language Models and Translation Strategies for Multilingual Hallucination Detection

Dimitra Karkani, Maria Lymperaiou, Giorgos Filandrianos, Nikolaos Spanos, Athanasios Voulodimos, Giorgos Stamou

机构 * School of Electrical and Computer Engineering（电气与计算机工程学院）； AILS Laboratory（AILS实验室）； National Technical University of Athens（雅典国家技术大学）

专题命中知识编辑与模型理解：large language model(title)；language model(title)；LLM(abstract)；prompting(abstract)

Journal ref The 19th International Workshop on Semantic Evaluation (SemEval 2025)

2505.23628 2025-08-04 cs.CL cs.AI 79%

AutoSchemaKG: Autonomous Knowledge Graph Construction through Dynamic Schema Induction from Web-Scale Corpora

Jiaxin Bai, Wei Fan, Qi Hu, Qing Zong, Chunyang Li, Hong Ting Tsang, Hongyu Luo, Yauwai Yim, Haoyu Huang, Xiao Zhou, Feng Qin, Tianshi Zheng, Xi Peng, Xin Yao, Huiwen Yang, Leijie Wu, Yi Ji, Gong Zhang, Renhai Chen, Yangqiu Song

机构 * CSE, HKUST（香港科技大学计算机科学与工程系）； CSE, CUHK（香港城市大学计算机科学与工程系）； Theory Lab, Huawei（华为理论实验室）

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 9 pages, preprint, code: https://github.com/HKUST-KnowComp/AutoSchemaKG

2508.00447 2025-08-04 cs.CV cs.LG 70%

CLIPTime: Time-Aware Multimodal Representation Learning from Images and Text

Anju Rani, Daniel Ortiz-Arroyo, Petar Durdevic

机构 * Department of Energy Technology（能源技术系）； Aalborg University（奥尔堡大学）

专题命中知识编辑与模型理解：language model(abstract)；pretraining(abstract)；分类 cs.LG

Comments 11 pages, 8 figures

2508.00109 2025-08-04 cs.CL cs.AI 62%

FACTORY: A Challenging Human-Verified Prompt Set for Long-Form Factuality

Mingda Chen, Yang Li, Xilun Chen, Adina Williams, Gargi Ghosh, Scott Yih

机构 * FAIR at Meta（Meta 的 FAIR）

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

2502.01533 2025-08-04 cs.LG cs.AI q-bio.BM 62%

Transformers trained on proteins can learn to attend to Euclidean distance

Isaac Ellmen, Constantin Schneider, Matthew I. J. Raybould, Charlotte M. Deane

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

Journal ref Transactions on Machine Learning Research (2025) https://openreview.net/forum?id=mU59bDyqqv