Publication
My academic research focuses on advancing machine learning, particularly in AI Safety, Efficient ML, and Speech Processing. Full list also on Google Scholar.
Polyglot-Lion: Efficient Multilingual ASR for Singapore via Balanced Fine-Tuning of Qwen3-ASR
Quy-Anh Dang, Chris Ngo
Multilinguality in the Era of Large Language Models (MeLLM 2026) @ ACL 2026
Selective Steering: Norm-Preserving Control Through Discriminative Layer Selection
Quy-Anh Dang, Chris Ngo
Findings of the Association for Computational Linguistics: ACL 2026
RedBench: A Universal Dataset for Comprehensive Red Teaming of Large Language Models
Quy-Anh Dang, Chris Ngo, Truong-Son Hy
Principled Design for Trustworthy AI: Interpretability, Robustness, and Safety across Modalities @ ICLR 2026
Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn’t
Quy-Anh Dang, Chris Ngo
Logical and Symbolic Reasoning in Language Models @ AAAI 2026
RainbowPlus: Enhancing Adversarial Prompt Generation via Evolutionary Quality-Diversity Search
Quy-Anh Dang, Chris Ngo, Truong-Son Hy
arXiv:2504.15047
MoD: A Distribution-Based Approach for Merging Large Language Models
Quy-Anh Dang, Chris Ngo
LLM Merging Competition @ NeurIPS 2024
wav2graph: A Framework for Supervised Learning Knowledge Graph from Speech
Khai Le-Duc, Quy-Anh Dang, Tan-Hanh Pham, Truong-Son Hy
arXiv:2408.04174