4 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 2 cited
Knowledge Distillation Using Frontier Open-source LLMs: Generalizability and the Role of Synthetic Data
Anup Shirgaonkar, Nikhil Pandey, Nazmiye Ceren Abay +2
Leading open-source large language models (LLMs) such as Llama-3.1-Instruct-405B are extremely capable at generating text, answering questions, and solving a variety of natural lan…
cs.CL2024★ 4 cited
Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning
Nick Mecklenburg, Yiyou Lin, Xiaoxiao Li +9
In recent years, Large Language Models (LLMs) have shown remarkable performance in generating human-like text, proving to be a valuable asset across various applications. However,…