Alternatives and similar repositories for VRTM

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

• LiqunW / Long-document-dataset
  ☆21Updated 6 years ago
• qkaren / unsup_gen_for_cms_reasoning
  ☆49Updated 2 years ago
• nicola-decao / diffmask
  Pytorch implementation of DiffMask
  ☆57Updated 2 years ago
• eaclark07 / sms
  ☆44Updated 6 years ago
• yasumasaonoe / Box4Types
  ☆25Updated 2 years ago
• SawanKumar28 / nile
  NILE : Natural Language Inference with Faithful Natural Language Explanations
  ☆30Updated 2 years ago
• nika2312 / qa_explaination
  ☆13Updated 5 years ago
• qkaren / Counterfactual-StoryRW
  code and data for EMNLP-19 paper "Counterfactual Story Reasoning and Generation" https://arxiv.org/abs/1909.04076
  ☆102Updated 5 years ago
• HKUST-KnowComp / SP-10K
  SP-10K is a large-scale human-annotated selectional preference set. Five selectional preference relations are included.
  ☆12Updated 5 years ago
• xhan77 / influence-function-analysis
  ☆63Updated 5 years ago
• bastings / interpretable_predictions
  Interpretable Neural Predictions with Differentiable Binary Variables
  ☆85Updated 4 years ago
• shreydesai / calibration
  Code and datasets for the EMNLP 2020 paper "Calibration of Pre-trained Transformers"
  ☆61Updated 2 years ago
• bhargaviparanjape / explainable_qa
  Implementation for https://arxiv.org/abs/2005.00652
  ☆28Updated 2 years ago
• dheerajrajagopal / SelfExplain
  ☆40Updated 2 years ago
• fangleai / Implicit-LVM
  This code repository presents the pytorch implementation of the paper “Implicit Deep Latent Variable Models for Text Generation”(EMNLP 20…
  ☆55Updated 3 years ago
• asappresearch / rationale-alignment
  ☆47Updated 5 years ago
• bohanli / vae-pretraining-encoder
  PyTorch implementation of A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text (EMNLP 2019)
  ☆48Updated 5 years ago
• yanzhangnlp / IS-BERT
  An Unsupervised Sentence Embedding Method by Mutual Information Maximization (EMNLP2020)
  ☆61Updated 4 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 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 4 years ago
• yuxiang-wu / gen-debiased-nli
  ☆20Updated 3 years ago
• valentinhofmann / dcwe
  Code for "Dynamic Contextualized Word Embeddings"
  ☆32Updated 3 years ago
• alontalmor / oLMpics
  ☆46Updated 5 years ago
• UVa-NLP / VMASK
  Code for the paper "Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers"
  ☆17Updated 4 years ago
• successar / FRESH
  ☆27Updated 2 years ago
• google-research-datasets / xsum_hallucination_annotations
  Faithfulness and factuality annotations of XSum summaries from our paper "On Faithfulness and Factuality in Abstractive Summarization" (h…
  ☆84Updated 4 years ago
• hsajjad / Interpretability-Tutorial-NAACL2021
  ☆24Updated 4 years ago
• shtoshni / span-rep
  Code for Repl4NLP paper "A Cross-Task Analysis of Text Span Representations"
  ☆21Updated 2 years ago
• yuchenlin / OpenCSR
  Code Repo for "Differentiable Open-Ended Commonsense Reasoning" (NAACL 2021)
  ☆32Updated 2 years ago
• tapilab / aaai-2021-counterfactuals
  ☆14Updated 4 years ago