Alternatives and similar repositories for Identifying-and-Mitigating-Spurious-Correlations-for-Improving-Robustness-in-NLP-Models

Users that are interested in Identifying-and-Mitigating-Spurious-Correlations-for-Improving-Robustness-in-NLP-Models are comparing it to the libraries listed below

• allenai / mice
  ☆26Updated 3 years ago
• pliang279 / sent_debias
  [ACL 2020] Towards Debiasing Sentence Representations
  ☆65Updated 3 years ago
• kawine / dataset_difficulty
  "Understanding Dataset Difficulty with V-Usable Information" (ICML 2022, outstanding paper)
  ☆90Updated 2 years ago
• McGill-NLP / bias-bench
  ACL 2022: An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models.
  ☆153Updated 5 months ago
• shauli-ravfogel / nullspace_projection
  ☆90Updated 3 years ago
• sebastianGehrmann / CausalMediationAnalysis
  Code for the paper "Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias"
  ☆82Updated 4 years ago
• bhargaviparanjape / explainable_qa
  Implementation for https://arxiv.org/abs/2005.00652
  ☆28Updated 3 years ago
• pliang279 / LM_bias
  [ICML 2021] Towards Understanding and Mitigating Social Biases in Language Models
  ☆61Updated 3 years ago
• UVa-NLP / VMASK
  Code for the paper "Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers"
  ☆17Updated 5 years ago
• tongshuangwu / polyjuice
  ☆98Updated 3 years ago
• UKPLab / emnlp2020-debiasing-unknown
  ☆26Updated 4 years ago
• fywalter / label-bias
  A codebase for ACL 2023 paper: Mitigating Label Biases for In-context Learning
  ☆11Updated 2 years ago
• TideDancer / iclr21_isotropy_contxt
  ☆31Updated 4 years ago
• successar / instance_attributions_NLP
  ☆17Updated 4 years ago
• W4ngatang / sent-bias
  Code and test data for "On Measuring Bias in Sentence Encoders", to appear at NAACL 2019.
  ☆56Updated 4 years ago
• Libr-AI / fairlib
  A framework for assessing and improving classification fairness.
  ☆33Updated 2 years ago
• ewsheng / controllable-nlg-biases
  Framework for controlling demographic biases in NLG (using adversarial prompts)
  ☆20Updated 2 years ago
• xhan77 / influence-function-analysis
  ☆64Updated 5 years ago
• tommasoc80 / AbuseEval
  Data set for LREC 2020 paper "I Feel Offended, Don't Be Abusive!"
  ☆18Updated 2 years ago
• code-terminator / invariant_rationalization
  Tensorflow implementation of Invariant Rationalization
  ☆50Updated 2 years ago
• dongxinshuai / RIFT-NeurIPS2021
  ☆11Updated 3 years ago
• INK-USC / rockner
  ☆11Updated 4 years ago
• tapilab / aaai-2021-counterfactuals
  ☆14Updated 4 years ago
• peterbhase / LAS-NL-Explanations
  Code for paper "Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?"
  ☆22Updated 5 years ago
• hsajjad / Interpretability-Tutorial-NAACL2021
  ☆24Updated 4 years ago
• Sachin19 / mucoco
  Official Code for the papers: "Controlled Text Generation as Continuous Optimization with Multiple Constraints" and "Gradient-based Const…
  ☆66Updated last year
• frankaging / BERT-LRP
  On Explaining Your Explanations of BERT: An Empirical Study with Sequence Classification
  ☆29Updated 3 years ago
• tapilab / emnlp-2020-spurious
  ☆17Updated 4 years ago
• princeton-nlp / rationale-robustness
  NAACL 2022: Can Rationalization Improve Robustness? https://arxiv.org/abs/2204.11790
  ☆27Updated 3 years ago
• balevinstein / Probes
  ☆58Updated 2 years ago