Alternatives and similar repositories for ExplanationSearch:

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

• CoderPat / learning-scaffold
  This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"
  ☆19Updated 2 years ago
• hsajjad / Interpretability-Tutorial-NAACL2021
  ☆24Updated 3 years ago
• peterbhase / ExplanationRoles
  Code for paper "When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data"
  ☆14Updated 4 years ago
• allenai / label_rationale_association
  Code for EMNLP 2021 paper "Measuring Association Between Labels and Free-Text Rationales"
  ☆12Updated 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
• allenai / contrastive-explanations
  Explaining neural decisions contrastively to alternative decisions.
  ☆24Updated 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
• ruiqi-zhong / DescribeDistributionalDifferences
  Code for preprint: Summarizing Differences between Text Distributions with Natural Language
  ☆42Updated last year
• technion-cs-nlp / irm-for-nli
  ☆11Updated 2 years ago
• john-hewitt / conditional-probing
  Codebase for running (conditional) probing experiments
  ☆23Updated 2 years ago
• BrachioLab / incontext_influences
  In-context Example Selection with Influences
  ☆15Updated last year
• copenlu / xai-benchmark
  A Diagnostic Study of Explainability Techniques for Text Classification
  ☆66Updated 4 years ago
• salesforce / fast-influence-functions
  ☆87Updated last year
• INK-USC / DIG
  Discretized Integrated Gradients for Explaining Language Models (EMNLP 2021)
  ☆25Updated 2 years ago
• dheerajrajagopal / SelfExplain
  ☆38Updated last year
• successar / FRESH
  ☆27Updated last year
• technion-cs-nlp / Individual-Neurons-Pitfalls
  ☆10Updated 2 years ago
• GChrysostomou / ood_faith
  ☆13Updated last year
• allenai / few_shot_explanations
  Code for NAACL 2022 paper "Reframing Human-AI Collaboration for Generating Free-Text Explanations"
  ☆31Updated last year
• keyonvafa / sequential-rationales
  Rationales for Sequential Predictions
  ☆40Updated 2 years ago
• princeton-nlp / rationale-robustness
  NAACL 2022: Can Rationalization Improve Robustness? https://arxiv.org/abs/2204.11790
  ☆27Updated 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
• JeremyAlain / imitation_learning_from_language_feedback
  This repository contains some of the code used in the paper "Training Language Models with Langauge Feedback at Scale"
  ☆27Updated last year
• allenai / feb
  Code associated with the paper: "Few-Shot Self-Rationalization with Natural Language Prompts"
  ☆13Updated 2 years ago
• xhan77 / influence-function-analysis
  ☆64Updated 4 years ago
• allenai / mice
  ☆26Updated 2 years ago
• archiki / GrIPS
  Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"
  ☆53Updated last year
• xiye17 / EvalQAExpl
  Code for Evaluating Explanations for Reading Comprehension with Realistic Counterfactuals.
  ☆18Updated 3 years ago
• yanaiela / pararel
  ☆44Updated last year
• ekinakyurek / influence
  Code for "Tracing Knowledge in Language Models Back to the Training Data"
  ☆37Updated 2 years ago