42 citations · 63 across the 8 of their papers we have counts for
5 papers · 1 filter
Fortifying Ethical Boundaries in AI: Advanced Strategies for Enhancing Security in Large Language Models
Yunhong He, Jianling Qiu, Wei Zhang +1
Recent advancements in large language models (LLMs) have significantly enhanced capabilities in natural language processing and artificial intelligence. These models, including GPT…
Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on Language, Multimodal, and Scientific GPT Models
Kaiyuan Gao, Sunan He, Zhenyu He +4
Generative pre-trained transformer (GPT) models have revolutionized the field of natural language processing (NLP) with remarkable performance in various tasks and also extend thei…
Effective Few-Shot Named Entity Linking by Meta-Learning
Xiuxing Li, Zhenyu Li, Zhengyan Zhang +5
Entity linking aims to link ambiguous mentions to their corresponding entities in a knowledge base, which is significant and fundamental for various downstream applications, e.g.,…
Adversarial Learning for Chinese NER from Crowd Annotations
YaoSheng Yang, Meishan Zhang, Wenliang Chen +3
To quickly obtain new labeled data, we can choose crowdsourcing as an alternative way at lower cost in a short time. But as an exchange, crowd annotations from non-experts may be o…
End-to-End Answer Chunk Extraction and Ranking for Reading Comprehension
Yang Yu, Wei Zhang, Kazi Hasan +3
This paper proposes dynamic chunk reader (DCR), an end-to-end neural reading comprehension (RC) model that is able to extract and rank a set of answer candidates from a given docum…