Rhui Dih Lee

According to our database, Rhui Dih Lee authored at least 7 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Collaboratively adding new knowledge to an LLM.

Rhui Dih Lee, Laura Wynter

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

Enhancing Training Efficiency Using Packing with Flash Attention.

Achintya Kundu, Rhui Dih Lee, Laura Wynter, Raghu Kiran Ganti, Mayank Mishra

CoRR, 2024

Efficiently Distilling LLMs for Edge Applications.

Achintya Kundu, Fabian Lim, Aaron Chew, Laura Wynter, Penny Chong, Rhui Dih Lee

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

2023

TOFA: Transfer-Once-for-All.

Achintya Kundu, Laura Wynter, Rhui Dih Lee, Luis Angel D. Bathen

CoRR, 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

Proceedings of the IEEE Military Communications Conference, 2023

Transfer-Once-For-All: AI Model Optimization for Edge.

Achintya Kundu, Laura Wynter, Rhui Dih Lee, Luis Angel D. Bathen

Proceedings of the IEEE International Conference on Edge Computing and Communications, 2023