allenai / miceLinks
☆26Updated 2 years ago
Alternatives and similar repositories for mice
Users that are interested in mice are comparing it to the libraries listed below
Sorting:
- ☆24Updated 4 years ago
- This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"☆19Updated 3 years ago
- Code for paper "Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?"☆22Updated 4 years ago
- Source code for "Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models", ICLR 2020.☆30Updated 5 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
- ☆97Updated 2 years ago
- ☆89Updated 3 years ago
- ☆27Updated 2 years ago
- Implementation for https://arxiv.org/abs/2005.00652☆28Updated 2 years ago
- Code for EMNLP 2021 paper "Measuring Association Between Labels and Free-Text Rationales"☆12Updated last year
- This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”☆85Updated 3 years ago
- Pytorch implementation of DiffMask☆57Updated 2 years ago
- Code for the paper "Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers"☆17Updated 4 years ago
- Baseline for ERASER benchmark☆17Updated 2 years ago
- [EMNLP 2020] Collective HumAn OpinionS on Natural Language Inference Data☆38Updated 3 years ago
- ☆39Updated 4 years ago
- Code and datasets for the EMNLP 2020 paper "Calibration of Pre-trained Transformers"☆61Updated 2 years ago
- [ACL 2020] Towards Debiasing Sentence Representations☆66Updated 2 years ago
- tianlu-wang / Identifying-and-Mitigating-Spurious-Correlations-for-Improving-Robustness-in-NLP-ModelsNAACL 2022 Findings☆15Updated 3 years ago
- NAACL 2022: Can Rationalization Improve Robustness? https://arxiv.org/abs/2204.11790☆27Updated 2 years ago
- NILE : Natural Language Inference with Faithful Natural Language Explanations☆30Updated 2 years ago
- Code for preprint: Summarizing Differences between Text Distributions with Natural Language☆42Updated 2 years ago
- Explaining neural decisions contrastively to alternative decisions.☆25Updated 4 years ago
- ☆89Updated 3 months ago
- Learning the Difference that Makes a Difference with Counterfactually-Augmented Data☆170Updated 4 years ago
- ☆45Updated last year
- ☆58Updated 3 years ago
- A Diagnostic Study of Explainability Techniques for Text Classification