Thang Chau Phan — accepted AI-conference papers

2025

CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding & Reasoning Capabilities of CodeLLMs

Dung Manh Nguyen, Thang Chau Phan, Nam Le Hai, Tien-Thong Doan, Nam V. Nguyen, Quang Pham +1

ICLR 2025poster

Recent advances in Code Large Language Models (CodeLLMs) have primarily focused on open-ended code generation, often overlooking the crucial aspect of code understanding & reasoning. To bridge this gap, we introduce CodeMMLU, a comprehensive multiple-choice benchmark designed to evaluate the depth o…

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2023

ViSoBERT: A Pre-Trained Language Model for Vietnamese Social Media Text Processing

Nam Quoc Nguyen, Thang Chau Phan, Duc-Vu Nguyen, Kiet Van Nguyen

EMNLP 2023long main

English and Chinese, known as resource-rich languages, have witnessed the strong development of transformer-based language models for natural language processing tasks. Although Vietnam has approximately 100M people speaking Vietnamese, several pre-trained models, e.g., PhoBERT, ViBERT, and vELECTRA…

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