8 citations · 10 across the 6 of their papers we have counts for
6 papers
Whether LLMs Can Navigate Beliefs and Facts Depends on How You Phrase It
Quang Minh Nguyen, Luis Frentzen Salim
Humans naturally form and express beliefs in daily communication, e.g., "I think the answer is 3" or "I suppose that's right." Such beliefs inevitably intertwine with fact and know…
From Signals to Transfer: A Factorised Study of Probe-Based Uncertainty Estimation in Large Language Models
Ponhvoan Srey, Xiaobao Wu, Cong-Duy Nguyen +3
Probe-based uncertainty estimation (UE) has emerged as a prominent approach to detect hallucinations in Large Language Models (LLMs) by learning uncertainty from internal model sig…
Towards Reliable Truth-Aligned Uncertainty Estimation in Large Language Models
Ponhvoan Srey, Quang Minh Nguyen, Xiaobao Wu +1
Uncertainty estimation (UE) aims to detect hallucinated outputs of large language models (LLMs) to improve their reliability. However, UE metrics often exhibit unstable performance…
Improving Vietnamese Named Entity Recognition from Speech Using Word Capitalization and Punctuation Recovery Models
Thai Binh Nguyen, Quang Minh Nguyen, Thi Thu Hien Nguyen +2
Studies on the Named Entity Recognition (NER) task have shown outstanding results that reach human parity on input texts with correct text formattings, such as with proper punctuat…
VAIS Hate Speech Detection System: A Deep Learning based Approach for System Combination
Thai Binh Nguyen, Quang Minh Nguyen, Thu Hien Nguyen +3
Nowadays, Social network sites (SNSs) such as Facebook, Twitter are common places where people show their opinions, sentiments and share information with others. However, some peop…
VAIS ASR: Building a conversational speech recognition system using language model combination
Quang Minh Nguyen, Thai Binh Nguyen, Ngoc Phuong Pham +1
Automatic Speech Recognition (ASR) systems have been evolving quickly and reaching human parity in certain cases. The systems usually perform pretty well on reading style and clean…