1 citations · 1 across the 7 of their papers we have counts for
7 papers
Last Translation Benchmark
Vilém Zouhar, Niyati Bafna, Mukund Choudhary +263
For scientific progress, we need benchmarks that test the limits of state-of-the-art models, and evaluation methods that inform us about failure cases. As models get stronger, stan…
How Robust Are LLMs to Vietnamese Dialects?
Minh Tran, Trinh Chau, Thanh-Nhan Le +4
Large Language Models (LLMs) are typically evaluated on standard written Vietnamese, yet everyday communication frequently involves regional dialects that preserve meaning but diff…
ViSpeechFormer: A Phonemic Approach for Vietnamese Automatic Speech Recognition
Khoa Anh Nguyen, Long Minh Hoang, Nghia Hieu Nguyen +2
Vietnamese has a phonetic orthography, where each grapheme corresponds to at most one phoneme and vice versa. Exploiting this high grapheme-phoneme transparency, we propose ViSpeec…
ViToSA: Audio-Based Toxic Spans Detection on Vietnamese Speech Utterances
Huy Ba Do, Vy Le-Phuong Huynh, Luan Thanh Nguyen
Toxic speech on online platforms is a growing concern, impacting user experience and online safety. While text-based toxicity detection is well-studied, audio-based approaches rema…
Multi-Dialect Vietnamese: Task, Dataset, Baseline Models and Challenges
Nguyen Van Dinh, Thanh Chi Dang, Luan Thanh Nguyen +1
Vietnamese, a low-resource language, is typically categorized into three primary dialect groups that belong to Northern, Central, and Southern Vietnam. However, each province withi…
ViHateT5: Enhancing Hate Speech Detection in Vietnamese With A Unified Text-to-Text Transformer Model
Luan Thanh Nguyen
Recent advancements in hate speech detection (HSD) in Vietnamese have made significant progress, primarily attributed to the emergence of transformer-based pre-trained language mod…
Gendec: A Machine Learning-based Framework for Gender Detection from Japanese Names
Duong Tien Pham, Luan Thanh Nguyen
Every human has their own name, a fundamental aspect of their identity and cultural heritage. The name often conveys a wealth of information, including details about an individual'…