Alternatives and similar repositories for LAS-NL-Explanations

Users that are interested in LAS-NL-Explanations are comparing it to the libraries listed below

• hsajjad / Interpretability-Tutorial-NAACL2021
  ☆24Updated 4 years ago
• easonnie / ChaosNLI
  [EMNLP 2020] Collective HumAn OpinionS on Natural Language Inference Data
  ☆38Updated 3 years ago
• allenai / label_rationale_association
  Code for EMNLP 2021 paper "Measuring Association Between Labels and Free-Text Rationales"
  ☆12Updated last year
• yanaiela / pararel
  ☆45Updated last year
• ruiqi-zhong / DescribeDistributionalDifferences
  Code for preprint: Summarizing Differences between Text Distributions with Natural Language
  ☆42Updated 2 years ago
• princeton-nlp / rationale-robustness
  NAACL 2022: Can Rationalization Improve Robustness? https://arxiv.org/abs/2204.11790
  ☆27Updated 2 years ago
• awebson / prompt_semantics
  This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”
  ☆85Updated 3 years ago
• nicola-decao / diffmask
  Pytorch implementation of DiffMask
  ☆57Updated 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
• peterwestuw / surface-form-competition
  ☆58Updated 3 years ago
• archiki / GrIPS
  Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"
  ☆56Updated 2 years ago
• jacobandreas / geca
  ☆42Updated 4 years ago
• jzbjyb / lm-calibration
  ☆35Updated 3 years ago
• john-hewitt / conditional-probing
  Codebase for running (conditional) probing experiments
  ☆22Updated 2 years ago
• lil-lab / bandit-qa
  Code for the paper "Simulating Bandit Learning from User Feedback for Extractive Question Answering".
  ☆18Updated 2 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
• belindal / state-probes
  Code for the paper "Implicit Representations of Meaning in Neural Language Models"
  ☆54Updated 2 years ago
• qkaren / unsup_gen_for_cms_reasoning
  ☆49Updated 2 years ago
• McGill-NLP / FaithDial
  ☆51Updated 2 years ago
• shreydesai / calibration
  Code and datasets for the EMNLP 2020 paper "Calibration of Pre-trained Transformers"
  ☆61Updated 2 years ago
• SawanKumar28 / nile
  NILE : Natural Language Inference with Faithful Natural Language Explanations
  ☆30Updated 2 years ago
• swarnaHub / PRover
  [EMNLP 2020] PyTorch code of PRover: Proof Generation for Interpretable Reasoning over Rules
  ☆19Updated 2 years ago
• McGill-NLP / polytropon
  ☆54Updated 2 years ago
• qkaren / COLD_decoding
  ☆110Updated 3 years ago
• JamesHujy / ELV
  ☆20Updated 3 years ago
• xiye17 / EvalQAExpl
  Code for Evaluating Explanations for Reading Comprehension with Realistic Counterfactuals.
  ☆18Updated 4 years ago
• INK-USC / DIG
  Discretized Integrated Gradients for Explaining Language Models (EMNLP 2021)
  ☆27Updated 3 years ago
• technion-cs-nlp / irm-for-nli
  ☆11Updated 3 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
• technion-cs-nlp / bias-probing
  Debiasing Methods in Natural Language Understanding Make Bias More Accessible: Code and Data
  ☆14Updated 3 years ago