Paper

Symbolic Chain-of-Thought Distillation: Small Models Can Also “Think” Step-by-Step

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer paper review

Specializing Multi-domain NMT via Penalizing Low Mutual Information paper review

Do Language Models Understand Measurements?

Self-Attention with Relative Position Representations paper review

Effective Approaches to Attention-based Neural Machine Translation paper review

Distributed Representations of Words and Phrases and their Compositionality

Bag of Tricks for Efficient Text Classification

Between words and characters:A Brief History of Open-Vocabulary Modeling and Tokenization in NLP

Between words and characters:A Brief History of Open-Vocabulary Modeling and Tokenization in NLP

Imputing Out-of-Vocabulary Embeddings with LOVE Makes Language Models Robust with Little Cost

An Empirical Study of Tokenization Strategies for Various Korean NLP Tasks

Enriching Word Vectors with Subword Information, FastText

UXLA: A Robust Unsupervised Data Augmentation Framework for Zero-Resource Cross-Lingual NLP

Generative Adversarial Network

Improving Language Understanding by Generative Pre-Training

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Attention is All You Need

A ton of text to test readability with image feature.