lifu-tu / Study-NLP-RobustnessLinks
Code for TACL 2020 paper "An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models"
☆14Updated 4 years ago
Alternatives and similar repositories for Study-NLP-Robustness
Users that are interested in Study-NLP-Robustness are comparing it to the libraries listed below
Sorting:
- Bootstrapped Unsupervised Sentence Representation Learning (ACL 2021)☆30Updated 3 years ago
- Code and datasets for the EMNLP 2020 paper "Calibration of Pre-trained Transformers"☆60Updated 2 years ago
- Codebase for running (conditional) probing experiments☆22Updated 2 years ago
- Code for the paper "Factorising Meaning and Form for Intent-Preserving Paraphrasing", Tom Hosking & Mirella Lapata (ACL 2021)☆27Updated last year
- ☆42Updated 4 years ago
- ☆58Updated 3 years ago
- A unified approach to explain conditional text generation models. Pytorch. The code of paper "Local Explanation of Dialogue Response Gene…☆17Updated 3 years ago
- ☆24Updated 2 years ago
- ☆63Updated 5 years ago
- NAACL 2022: Can Rationalization Improve Robustness? https://arxiv.org/abs/2204.11790☆27Updated 2 years ago
- Code for our NAACL-2021 paper "Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models".☆24Updated 3 years ago
- ☆44Updated last year
- ☆24Updated 4 years ago
- Code Repo for the ACL21 paper "Common Sense Beyond English: Evaluating and Improving Multilingual LMs for Commonsense Reasoning"☆22Updated 3 years ago
- ACL 2021 paper "Style is NOT a single variable: Case Studies for Cross-Style Language Understanding " by Dongyeop Kang and Eduard Hovy☆14Updated 3 years ago
- This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”☆85Updated 3 years ago
- This is a repository with the code for the EMNLP 2020 paper "Information-Theoretic Probing with Minimum Description Length"☆71Updated 10 months ago
- This is a repository for the paper on testing inductive bias with scaled-down RoBERTa models.☆20Updated 3 years ago
- Code for the paper "Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers"☆17Updated 4 years ago
- Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers☆20Updated 4 years ago
- ☆20Updated 3 years ago
- ☆41Updated 4 years ago
- ☆49Updated 2 years ago
- Code for EMNLP 2021 paper: Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting☆17Updated 3 years ago
- Debiasing Methods in Natural Language Understanding Make Bias More Accessible: Code and Data☆14Updated 3 years ago
- Code and dataset for the EMNLP 2021 Finding paper "Can NLI Models Verify QA Systems’ Predictions?"☆25Updated last year
- EMNLP 2021 - Frustratingly Simple Pretraining Alternatives to Masked Language Modeling☆31Updated 3 years ago
- Code for our EACL-2021 paper "Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs".☆39Updated last year
- Code accompanying our papers on the "Generative Distributional Control" framework☆118Updated 2 years ago
- Faithfulness and factuality annotations of XSum summaries from our paper "On Faithfulness and Factuality in Abstractive Summarization" (h…☆82Updated 4 years ago