Alternatives and similar repositories for diffmask:

Users that are interested in diffmask are comparing it to the libraries listed below

• hsajjad / Interpretability-Tutorial-NAACL2021
  ☆24Updated 3 years ago
• shreydesai / calibration
  Code and datasets for the EMNLP 2020 paper "Calibration of Pre-trained Transformers"
  ☆57Updated last year
• bhargaviparanjape / explainable_qa
  Implementation for https://arxiv.org/abs/2005.00652
  ☆28Updated 2 years ago
• gucci-j / light-transformer-emnlp2021
  EMNLP 2021 - Frustratingly Simple Pretraining Alternatives to Masked Language Modeling
  ☆31Updated 3 years ago
• qkaren / unsup_gen_for_cms_reasoning
  ☆49Updated last year
• 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
• alontalmor / LeapOfThought
  ☆48Updated last year
• alontalmor / oLMpics
  ☆46Updated 4 years ago
• lena-voita / description-length-probing
  This is a repository with the code for the EMNLP 2020 paper "Information-Theoretic Probing with Minimum Description Length"
  ☆69Updated 4 months ago
• bohanli / vae-pretraining-encoder
  PyTorch implementation of A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text (EMNLP 2019)
  ☆47Updated 4 years ago
• yanaiela / amnesic_probing
  ☆37Updated 3 years ago
• danieldeutsch / qaeval
  ☆15Updated 3 years ago
• SawanKumar28 / nile
  NILE : Natural Language Inference with Faithful Natural Language Explanations
  ☆30Updated last year
• xhan77 / influence-function-analysis
  ☆63Updated 4 years ago
• jacobandreas / geca
  ☆42Updated 4 years ago
• INK-USC / XCSR
  Code Repo for the ACL21 paper "Common Sense Beyond English: Evaluating and Improving Multilingual LMs for Commonsense Reasoning"
  ☆22Updated 3 years ago
• galsang / trees_from_transformers
  Official code for the ICLR 2020 paper 'ARE PPE-TRAINED LANGUAGE MODELS AWARE OF PHRASES? SIMPLE BUT STRONG BASELINES FOR GRAMMAR INDCUTIO…
  ☆30Updated last year
• tomhosking / torchseq
  Pytorch Seq2Seq framework
  ☆26Updated 3 months ago
• jiacheng-xu / text-sum-uncertainty
  Code for "Understanding Neural Abstractive Summarization Models via Uncertainty" (EMNLP20)
  ☆30Updated 4 years ago
• XiangLi1999 / syntactic-VIB
  Implementation of the paper: Specializing pretrained word embeddings (for parsing) by IB
  ☆52Updated 2 years ago
• Pascalson / LERG
  A unified approach to explain conditional text generation models. Pytorch. The code of paper "Local Explanation of Dialogue Response Gene…
  ☆17Updated 2 years ago
• henryzhao5852 / BeamDR
  ☆14Updated 3 years ago
• peterwestuw / surface-form-competition
  ☆58Updated 2 years ago
• successar / FRESH
  ☆27Updated last year
• princeton-nlp / rationale-robustness
  NAACL 2022: Can Rationalization Improve Robustness? https://arxiv.org/abs/2204.11790
  ☆27Updated 2 years ago
• easonnie / ChaosNLI
  [EMNLP 2020] Collective HumAn OpinionS on Natural Language Inference Data
  ☆36Updated 2 years ago
• keyonvafa / sequential-rationales
  Rationales for Sequential Predictions
  ☆40Updated 2 years ago
• awebson / prompt_semantics
  This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”
  ☆85Updated 2 years ago
• yuxiang-wu / gen-debiased-nli
  ☆20Updated 2 years ago
• jzbjyb / X-FACTR
  ☆24Updated last year