Alternatives and similar repositories for Study-NLP-Robustness

Users that are interested in Study-NLP-Robustness are comparing it to the libraries listed below

• tomhosking / separator
  Code for the paper "Factorising Meaning and Form for Intent-Preserving Paraphrasing", Tom Hosking & Mirella Lapata (ACL 2021)
  ☆27Updated last year
• yanzhangnlp / BSL
  Bootstrapped Unsupervised Sentence Representation Learning (ACL 2021)
  ☆30Updated 3 years ago
• jacobandreas / geca
  ☆42Updated 4 years ago
• UKPLab / acl2020-confidence-regularization
  ☆24Updated 2 years ago
• xhan77 / influence-function-analysis
  ☆63Updated 5 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
• john-hewitt / conditional-probing
  Codebase for running (conditional) probing experiments
  ☆22Updated 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 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
  ☆14Updated 3 years ago
• SawanKumar28 / nile
  NILE : Natural Language Inference with Faithful Natural Language Explanations
  ☆30Updated last year
• technion-cs-nlp / bias-probing
  Debiasing Methods in Natural Language Understanding Make Bias More Accessible: Code and Data
  ☆14Updated 3 years ago
• princeton-nlp / rationale-robustness
  NAACL 2022: Can Rationalization Improve Robustness? https://arxiv.org/abs/2204.11790
  ☆27Updated 2 years ago
• UKPLab / emnlp2020-debiasing-unknown
  ☆26Updated 4 years ago
• rycolab / uid-decoding
  ☆41Updated 4 years ago
• hsajjad / Interpretability-Tutorial-NAACL2021
  ☆24Updated 3 years ago
• peterwestuw / surface-form-competition
  ☆58Updated 3 years ago
• yg211 / summary-reward-no-reference
  A reference-free metric for measuring summary quality, learned from human ratings.
  ☆43Updated 2 years ago
• copenlu / X-MAML
  Code base for paper "Zero-Shot Cross-Lingual Transfer with Meta Learning"
  ☆34Updated 6 months ago
• yanaiela / pararel
  ☆44Updated last year
• google-research-datasets / xsum_hallucination_annotations
  Faithfulness and factuality annotations of XSum summaries from our paper "On Faithfulness and Factuality in Abstractive Summarization" (h…
  ☆82Updated 4 years ago
• shreydesai / calibration
  Code and datasets for the EMNLP 2020 paper "Calibration of Pre-trained Transformers"
  ☆59Updated last year
• bhargaviparanjape / explainable_qa
  Implementation for https://arxiv.org/abs/2005.00652
  ☆28Updated 2 years ago
• 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
• XuhuiZhou / Toxic_Debias
  code for our EACL 2021 paper: "Challenges in Automated Debiasing for Toxic Language Detection" by Xuhui Zhou, Maarten Sap, Swabha Swayamd…
  ☆19Updated 3 years ago
• yuxiang-wu / gen-debiased-nli
  ☆20Updated 3 years ago
• yanaiela / amnesic_probing
  ☆39Updated 3 years ago
• jiacheng-xu / text-sum-uncertainty
  Code for "Understanding Neural Abstractive Summarization Models via Uncertainty" (EMNLP20)
  ☆30Updated 4 years ago
• tuvuumass / task-transferability
  Data and code for our paper "Exploring and Predicting Transferability across NLP Tasks", to appear at EMNLP 2020.
  ☆50Updated 4 years ago
• uclanlp / ParaBART
  Code for our NAACL-2021 paper "Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models".
  ☆24Updated 3 years ago
• rabeehk / robust-nli
  ☆17Updated 4 years ago