allenai / mice

Related projects ⓘ

Alternatives and complementary repositories for mice

• awebson / prompt_semantics
  This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”
  ☆84Updated 2 years ago
• peterbhase / LAS-NL-Explanations
  Code for paper "Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?"
  ☆20Updated 4 years ago
• hsajjad / Interpretability-Tutorial-NAACL2021
  ☆24Updated 3 years ago
• bhargaviparanjape / explainable_qa
  Implementation for https://arxiv.org/abs/2005.00652
  ☆27Updated last year
• yanaiela / amnesic_probing
  ☆37Updated 3 years ago
• shauli-ravfogel / nullspace_projection
  ☆87Updated 2 years ago
• successar / FRESH
  ☆27Updated last year
• INK-USC / hierarchical-explanation-neural-sequence-models
  Source code for "Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models", ICLR 2020.
  ☆30Updated 4 years ago
• tianlu-wang / Identifying-and-Mitigating-Spurious-Correlations-for-Improving-Robustness-in-NLP-Models
  NAACL 2022 Findings
  ☆14Updated 2 years ago
• tongshuangwu / polyjuice
  ☆95Updated 2 years ago
• CoderPat / learning-scaffold
  This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"
  ☆19Updated 2 years ago
• technion-cs-nlp / irm-for-nli
  ☆11Updated 2 years ago
• nicola-decao / diffmask
  Pytorch implementation of DiffMask
  ☆55Updated last year
• yanaiela / pararel
  ☆42Updated 10 months ago
• ruiqi-zhong / DescribeDistributionalDifferences
  Code for preprint: Summarizing Differences between Text Distributions with Natural Language
  ☆42Updated last year
• peterwestuw / surface-form-competition
  ☆58Updated 2 years ago
• easonnie / ChaosNLI
  [EMNLP 2020] Collective HumAn OpinionS on Natural Language Inference Data
  ☆33Updated 2 years ago
• pliang279 / sent_debias
  [ACL 2020] Towards Debiasing Sentence Representations
  ☆61Updated 2 years ago
• gucci-j / light-transformer-emnlp2021
  EMNLP 2021 - Frustratingly Simple Pretraining Alternatives to Masked Language Modeling
  ☆31Updated 3 years ago
• shreydesai / calibration
  Code and datasets for the EMNLP 2020 paper "Calibration of Pre-trained Transformers"
  ☆57Updated last year
• lil-lab / bandit-qa
  Code for the paper "Simulating Bandit Learning from User Feedback for Extractive Question Answering".
  ☆18Updated 2 years ago
• princeton-nlp / rationale-robustness
  NAACL 2022: Can Rationalization Improve Robustness? https://arxiv.org/abs/2204.11790
  ☆27Updated 2 years ago
• peterbhase / ExplanationRoles
  Code for paper "When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data"
  ☆14Updated 3 years ago
• successar / Eraser-Benchmark-Baseline-Models
  Baseline for ERASER benchmark
  ☆17Updated last year
• dheerajrajagopal / SelfExplain
  ☆38Updated last year
• kanekomasahiro / context-debias
  ☆25Updated 2 years ago
• qkaren / unsup_gen_for_cms_reasoning
  ☆49Updated last year
• allenai / contrastive-explanations
  Explaining neural decisions contrastively to alternative decisions.
  ☆23Updated 3 years ago
• dykang / xslue
  ACL 2021 paper "Style is NOT a single variable: Case Studies for Cross-Style Language Understanding " by Dongyeop Kang and Eduard Hovy
  ☆13Updated 3 years ago
• mmrezaee / VRTM
  "A Discrete Variational Recurrent Topic Model without the Reparametrization Trick" (NeurIPS 2020)
  ☆11Updated 3 years ago