语言大模型 / LLM

SYNAPSE-G: Bridging Large Language Models and Graph Learning for Rare Event Classification

Sasan Tavakkol, Lin Chen, Max Springer, Abigail Schantz, Blaž Bratanič, Vincent Cohen-Addad, MohammadHossein Bateni

机构 * Google Research（谷歌研究） 纠错

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

Exploring the Potential of Large Language Models in Fine-Grained Review Comment Classification

Linh Nguyen, Chunhua Liu, Hong Yi Lin, Patanamon Thongtanunam

机构 * The University of Melbourne（墨尔本大学） 纠错

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

Comments Accepted at 2025 IEEE International Conference on Source Code Analysis & Manipulation (SCAM)

ViCToR: Improving Visual Comprehension via Token Reconstruction for Pretraining LMMs

Yin Xie, Kaicheng Yang, Peirou Liang, Xiang An, Yongle Zhao, Yumeng Wang, Ziyong Feng, Roy Miles, Ismail Elezi, Jiankang Deng

专题命中 预训练与数据 ：pretraining(title,abstract)；LLM(abstract)；large language model(abstract)；language model(abstract)

Comments 10 pages, 6 figures, 5 tables

Exploring Scaling Laws for EHR Foundation Models

Sheng Zhang, Qin Liu, Naoto Usuyama, Cliff Wong, Tristan Naumann, Hoifung Poon

机构 * Microsoft Research（微软研究院） ； University of Southern California（南加州大学） 纠错

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