Sign in Subscribe

ELMo

MiLMo:Minority Multilingual Pre-trained Language Model - Summary

The paper presents a multilingual pre-trained language model named MiLMo that performs better on minority language tasks, including Mongolian, Tibetan, Uyghur, Kazakh and Korean. The authors also construct a minority multilingual text classification dataset named MiTC, and train a word2vec model fo

A Survey of Large Language Models - Summary

This paper surveys the recent advances in Large Language Models (LLMs), which are pre-trained Transformer models over large-scale corpora. The paper discusses the background, key findings, and mainstream techniques of LLMs, focusing on pre-training, adaptation tuning, utilization, and capacity eval

The Power of Scale for Parameter-Efficient Prompt Tuning - Summary

The paper explores prompt tuning, a mechanism for learning soft prompts to condition frozen language models for specific downstream tasks. The approach outperforms GPT-3's few-shot learning and becomes more competitive with scale. Prompt tuning confers benefits in robustness to domain transfer and