6 papers
ViLegalNLI: Natural Language Inference for Vietnamese Legal Texts
Nhung Thi-Hong Duong, Mai Ngoc Ho, Tin Van Huynh +1
In this article, we introduce ViLegalNLI, the first large-scale Vietnamese Natural Language Inference (NLI) dataset specifically constructed for the legal domain. The dataset consi…
ViCLSR: A Supervised Contrastive Learning Framework with Natural Language Inference for Natural Language Understanding Tasks
Tin Van Huynh, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen
High-quality text representations are crucial for natural language understanding (NLU), but low-resource languages like Vietnamese face challenges due to limited annotated data. Wh…
DSC2025 -- ViHallu Challenge: Detecting Hallucination in Vietnamese LLMs
Anh Thi-Hoang Nguyen, Khanh Quoc Tran, Tin Van Huynh +3
The reliability of large language models (LLMs) in production environments remains significantly constrained by their propensity to generate hallucinations -- fluent, plausible-sou…
A New Benchmark Dataset and Mixture-of-Experts Language Models for Adversarial Natural Language Inference in Vietnamese
Tin Van Huynh, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen
Existing Vietnamese Natural Language Inference (NLI) datasets lack adversarial complexity, limiting their ability to evaluate model robustness against challenging linguistic phenom…
Transformer-Based Contextualized Language Models Joint with Neural Networks for Natural Language Inference in Vietnamese
Dat Van-Thanh Nguyen, Tin Van Huynh, Kiet Van Nguyen +1
Natural Language Inference (NLI) is a task within Natural Language Processing (NLP) that holds value for various AI applications. However, there have been limited studies on Natura…
Evaluating Large Language Model Capability in Vietnamese Fact-Checking Data Generation
Long Truong To, Hung Tuan Le, Dat Van-Thanh Nguyen +4
Large Language Models (LLMs), with gradually improving reading comprehension and reasoning capabilities, are being applied to a range of complex language tasks, including the autom…