allenai / miceLinks
☆26Updated 3 years ago
Alternatives and similar repositories for mice
Users that are interested in mice are comparing it to the libraries listed below
Sorting:
- This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"☆19Updated 3 years ago
- ☆24Updated 4 years ago
- Code for paper "When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data"☆14Updated 4 years ago
- Code for paper "Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?"☆22Updated 5 years ago
- ☆98Updated 3 years ago
- [EMNLP 2020] Collective HumAn OpinionS on Natural Language Inference Data☆41Updated 3 years ago
- Explaining neural decisions contrastively to alternative decisions.☆25Updated 4 years ago
- This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”☆85Updated 3 years ago
- Code for preprint: Summarizing Differences between Text Distributions with Natural Language☆43Updated 2 years ago
- Code and datasets for the EMNLP 2020 paper "Calibration of Pre-trained Transformers"☆61Updated 2 years ago
- NAACL 2022: Can Rationalization Improve Robustness? https://arxiv.org/abs/2204.11790☆27Updated 3 years ago
- Codebase for running (conditional) probing experiments☆22Updated 3 years ago
- ☆27Updated 2 years ago
- ☆39Updated 4 years ago
- A Diagnostic Study of Explainability Techniques for Text Classification☆69Updated 5 years ago
- ☆64Updated 5 years ago
- Learning the Difference that Makes a Difference with Counterfactually-Augmented Data☆171Updated 4 years ago
- EMNLP 2021 - Frustratingly Simple Pretraining Alternatives to Masked Language Modeling☆34Updated 4 years ago
- Implementation for https://arxiv.org/abs/2005.00652☆28Updated 3 years ago
- Pytorch implementation of DiffMask☆58Updated 2 years ago
- Code for the paper "Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers"☆18Updated 5 years ago
- Code for EMNLP 2021 paper "Measuring Association Between Labels and Free-Text Rationales"☆12Updated 2 years ago
- [ACL 2020] Towards Debiasing Sentence Representations☆64Updated 3 years ago
- ☆90Updated 3 years ago
- Debiasing Methods in Natural Language Understanding Make Bias More Accessible: Code and Data☆14Updated 3 years ago
- Source code for "Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models", ICLR 2020.☆30Updated 5 years ago
- On Explaining Your Explanations of BERT: An Empirical Study with Sequence Classification☆29Updated 3 years ago
- A benchmark for understanding and evaluating rationales: http://www.eraserbenchmark.com/☆101Updated 3 years ago
- This repository contains the code for "Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP".☆89Updated 4 years ago
- [ICML 2021] Towards Understanding and Mitigating Social Biases in Language Models☆61Updated 3 years ago