6 citations · 6 across the 11 of their papers we have counts for
5 papers · 1 filter
AntLM: Bridging Causal and Masked Language Models
Xinru Yu, Bin Guo, Shiwei Luo +3
Causal Language Modeling (CLM) and Masked Language Modeling (MLM) are two mainstream learning paradigms based on Transformer networks, specifically the Decoder-only and Encoder-onl…
Generation with Dynamic Vocabulary
Yanting Liu, Tao Ji, Changzhi Sun +2
We introduce a new dynamic vocabulary for language models. It can involve arbitrary text spans during generation. These text spans act as basic generation bricks, akin to tokens in…
Investigating and Mitigating Object Hallucinations in Pretrained Vision-Language (CLIP) Models
Yufang Liu, Tao Ji, Changzhi Sun +2
Large Vision-Language Models (LVLMs) have achieved impressive performance, yet research has pointed out a serious issue with object hallucinations within these models. However, the…
A Survey of Spatio-Temporal EEG data Analysis: from Models to Applications
Pengfei Wang, Huanran Zheng, Silong Dai +4
In recent years, the field of electroencephalography (EEG) analysis has witnessed remarkable advancements, driven by the integration of machine learning and artificial intelligence…
Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis
Xuanwen Ding, Jie Zhou, Liang Dou +4
Aspect-based sentiment analysis (ABSA) is an important subtask of sentiment analysis, which aims to extract the aspects and predict their sentiments. Most existing studies focus on…