# Papers Directory

This directory contains papers referenced in the CS388 NLP Final Project.

## Papers by Year

### 2015
- Bowman et al. - Stanford NLI dataset

### 2016
- Rajpurkar et al. - SQuAD dataset

### 2017
- Jia and Liang - Adversarial examples for reading comprehension

### 2018
- Williams et al. - MultiNLI
- Yang et al. - HotpotQA
- Poliak et al. - Hypothesis-only baselines in NLI
- Glockner et al. - Breaking NLI systems
- Kaushik and Lipton - How much reading does reading comprehension require?

### 2019
- Chen and Durrett - Understanding dataset design choices for multi-hop reasoning
- Clark et al. - Don't take the easy way out
- He et al. - Unlearn dataset bias
- Liu et al. - Inoculation by fine-tuning
- McCoy et al. - Right for the wrong reasons
- Wallace et al. - Universal adversarial triggers

### 2020
- Clark et al. - ELECTRA
- Gardner et al. - Contrast sets
- Ribeiro et al. - CheckList
- Swayamdipta et al. - Dataset cartography
- Zhou and Bansal - Robustifying NLI models
- Utama et al. - Debiasing NLU models
- Nie et al. - Collective human opinions
- Morris et al. - TextAttack
- Bartolo et al. - Beat the AI

### 2021
- Gardner et al. - Competency problems
- Dua et al. - Learning with instance bundles
- Sanh et al. - Learning from others' mistakes
- Meissner et al. - Embracing ambiguity
- Yaghoobzadeh et al. - Forgettable examples
