语言大模型 / LLM

When Vision-Language Model (VLM) Meets Beam Prediction: A Multimodal Contrastive Learning Framework

Ji Wang, Bin Tang, Jian Xiao, Qimei Cui, Xingwang Li, Tony Q. S. Quek

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

Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs

Kanishk Gandhi, Ayush Chakravarthy, Anikait Singh, Nathan Lile, Noah D. Goodman

机构 * Stanford University（斯坦福大学） ； SynthLabs 纠错

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

Online Anti-sexist Speech: Identifying Resistance to Gender Bias in Political Discourse

Aditi Dutta, Susan Banducci

机构 * University of Exeter（埃克塞特大学） ； University of Birmingham（伯明翰大学） ； The Alan Turing Institute（艾伦·图灵研究所） 纠错

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

A Cross-Modal Rumor Detection Scheme via Contrastive Learning by Exploring Text and Image internal Correlations

Bin Ma, Yifei Zhang, Yongjin Xian, Qi Li, Linna Zhou, Gongxun Miao

专题命中 预训练与数据 ：pretraining(abstract)；分类 cs.CL、cs.AI

Overcoming Low-Resource Barriers in Tulu: Neural Models and Corpus Creation for OffensiveLanguage Identification

Anusha M D, Deepthi Vikram, Bharathi Raja Chakravarthi, Parameshwar R Hegde

专题命中 预训练与数据 ：pretraining(abstract)；分类 cs.CL

Comments 20 pages, 3 tables, 3 figures. Submitted to Language Resources and Evaluation (Springer)

Tabularis Formatus: Predictive Formatting for Tables

Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen

机构 * Microsoft（微软） 纠错

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

Comments 14 pages

Cross-Lingual Transfer from Related Languages: Treating Low-Resource Maltese as Multilingual Code-Switching

Kurt Micallef, Nizar Habash, Claudia Borg, Fadhl Eryani, Houda Bouamor

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

Comments EACL 2024 camera-ready version

Mining the Social Fabric: Unveiling Communities for Fake News Detection in Short Videos

Haisong Gong, Bolan Su, Xinrong Zhang, Jing Li, Qiang Liu, Shu Wu, Liang Wang

专题命中 预训练与数据 ：pretraining(abstract)

Comments in submission