3 citations · 3 across the 2 of their papers we have counts for
4 papers
Towards Mitigating Hallucination in Large Language Models via Self-Reflection
Ziwei Ji, Tiezheng Yu, Yan Xu +3
Large language models (LLMs) have shown promise for generative and knowledge-intensive tasks including question-answering (QA) tasks. However, the practical deployment still faces…
Improving Query-Focused Meeting Summarization with Query-Relevant Knowledge
Tiezheng Yu, Ziwei Ji, Pascale Fung
Query-Focused Meeting Summarization (QFMS) aims to generate a summary of a given meeting transcript conditioned upon a query. The main challenges for QFMS are the long input text l…
Kaggle Competition: Cantonese Audio-Visual Speech Recognition for In-car Commands
Wenliang Dai, Samuel Cahyawijaya, Tiezheng Yu +2
With the rise of deep learning and intelligent vehicles, the smart assistant has become an essential in-car component to facilitate driving and provide extra functionalities. In-ca…
CI-AVSR: A Cantonese Audio-Visual Speech Dataset for In-car Command Recognition
Wenliang Dai, Samuel Cahyawijaya, Tiezheng Yu +10
With the rise of deep learning and intelligent vehicle, the smart assistant has become an essential in-car component to facilitate driving and provide extra functionalities. In-car…