Transfer-Once-For-All: AI Model Optimization for Edge. - Achintya Kundu; Laura Wynter; Rhui Dih Lee; Luis Angel D. Bathen (EDGE, 2023)

M3: Towards Efficient Mixed Machine Learning Model Co-Location on Constrained Edge Devices. - Luis Angel D. Bathen; Simeon Babatunde; Rhui Dih Lee; Achintya Kundu; Laura Wynter (MILCOM, 2023)

TOFA: Transfer-Once-for-All. - Achintya Kundu; Laura Wynter; Rhui Dih Lee; Luis Angel D. Bathen (CoRR, 2023)

Efficiently Distilling LLMs for Edge Applications. - Achintya Kundu; Fabian Lim; Aaron Chew; Laura Wynter; Penny Chong; Rhui Dih Lee (NAACL (Industry Track), 2024)

Enhancing Training Efficiency Using Packing with Flash Attention. - Achintya Kundu; Rhui Dih Lee; Laura Wynter; Raghu Kiran Ganti; Mayank Mishra (CoRR, 2024)

Flexible and Effective Mixing of Large Language Models into a Mixture of Domain Experts. - Rhui Dih Lee; Laura Wynter; Raghu Kiran Ganti (CoRR, 2024)

Collaboratively adding new knowledge to an LLM. - Rhui Dih Lee; Laura Wynter (CoRR, 2024)