24 citations · 24 across the 3 of their papers we have counts for
3 papers
Dynamic Model Routing and Cascading for Efficient LLM Inference: A Survey
Yasmin Moslem, John D. Kelleher
The rapid growth of large language models (LLMs) with diverse capabilities, costs, and domains has created a critical need for intelligent model selection at inference time. While…
Iterative Layer Pruning for Efficient Translation Inference
Yasmin Moslem, Muhammad Hazim Al Farouq, John D. Kelleher
Large language models (LLMs) have transformed many areas of natural language processing, including machine translation. However, efficient deployment of LLMs remains challenging du…
Domain Terminology Integration into Machine Translation: Leveraging Large Language Models
Yasmin Moslem, Gianfranco Romani, Mahdi Molaei +3
This paper discusses the methods that we used for our submissions to the WMT 2023 Terminology Shared Task for German-to-English (DE-EN), English-to-Czech (EN-CS), and Chinese-to-En…