Open and Inclusive
NTUAI welcomes students interested in AI, machine learning, and deep learning regardless of prior experience. We focus on building a supportive space for learning, collaboration, and practical growth.
Diverse Events
We host educational workshops, welcome and mid-term gatherings, and industry trend keynotes to connect members with both technical skills and real-world perspectives.
Project-oriented Learning
NTUAI invites leading researchers and entrepreneurs to help members develop AI applications from zero to hero through hands-on projects, peer sharing, and production-minded experimentation.
Research Highlights
Our members contribute to practical AI research, including benchmark and decoding work such as Multi-TW and Token Constraint Decoding, with a focus on trustworthy and useful AI systems.
Research
Explore recent research initiatives, publications, and benchmark contributions from NTUAI members.
An inference-time decoding strategy that boosts LLM QA robustness under noisy and adversarial prompt conditions.
A Taiwan-centric tri-modal benchmark for Traditional Chinese QA that measures both model accuracy and latency trade-offs.
An inference-time decoding strategy that boosts LLM QA robustness under noisy and adversarial prompt conditions.
A Taiwan-centric tri-modal benchmark for Traditional Chinese QA that measures both model accuracy and latency trade-offs.