1 citations · 1 across the 4 of their papers we have counts for
4 papers
AMCR: A Framework for Assessing and Mitigating Copyright Risks in Generative Models
Zhipeng Yin, Zichong Wang, Avash Palikhe +3
Generative models have achieved impressive results in text to image tasks, significantly advancing visual content creation. However, this progress comes at a cost, as such models r…
Towards Transparent AI: A Survey on Explainable Large Language Models
Avash Palikhe, Zhenyu Yu, Zichong Wang +1
Large Language Models (LLMs) have played a pivotal role in advancing Artificial Intelligence (AI). However, despite their achievements, LLMs often struggle to explain their decisio…
Leveraging Prior Experience: An Expandable Auxiliary Knowledge Base for Text-to-SQL
Zhibo Chu, Zichong Wang, Qitao Qin
Large Language Models (LLMs) exhibit impressive problem-solving skills across many tasks, but they still underperform compared to humans in various downstream applications, such as…
Fairness in Large Language Models in Three Hours
Thang Doan Viet, Zichong Wang, Minh Nhat Nguyen +1
Large Language Models (LLMs) have demonstrated remarkable success across various domains but often lack fairness considerations, potentially leading to discriminatory outcomes agai…