565 citations · 748 across the 8 of their papers we have counts for
Showing 2023 · cs.CLShow all
2 papers · 2 filters
cs.CL2023★ 10 cited
Fine-tuning Language Models for Factuality
Katherine Tian, Eric Mitchell, Huaxiu Yao +2
The fluency and creativity of large pre-trained language models (LLMs) have led to their widespread use, sometimes even as a replacement for traditional search engines. Yet languag…
cs.CL2023★ 3 cited
An Emulator for Fine-Tuning Large Language Models using Small Language Models
Eric Mitchell, Rafael Rafailov, Archit Sharma +2
Widely used language models (LMs) are typically built by scaling up a two-stage training pipeline: a pre-training stage that uses a very large, diverse dataset of text and a fine-t…