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
• INK-USC / DIG
  Discretized Integrated Gradients for Explaining Language Models (EMNLP 2021)
  ☆27Updated 3 years ago
• hsajjad / Interpretability-Tutorial-NAACL2021
  ☆24Updated 3 years ago
• peterbhase / LAS-NL-Explanations
  Code for paper "Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?"
  ☆21Updated 4 years ago
• ruiqi-zhong / DescribeDistributionalDifferences
  Code for preprint: Summarizing Differences between Text Distributions with Natural Language
  ☆42Updated 2 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
• salesforce / fast-influence-functions
  ☆89Updated last year
• allenai / few_shot_explanations
  Code for NAACL 2022 paper "Reframing Human-AI Collaboration for Generating Free-Text Explanations"
  ☆31Updated last year
• allenai / contrastive-explanations
  Explaining neural decisions contrastively to alternative decisions.
  ☆25Updated 4 years ago
• yanaiela / pararel
  ☆44Updated last year
• jzbjyb / lm-calibration
  ☆34Updated 3 years ago
• gucci-j / light-transformer-emnlp2021
  EMNLP 2021 - Frustratingly Simple Pretraining Alternatives to Masked Language Modeling
  ☆31Updated 3 years ago
• archiki / GrIPS
  Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"
  ☆53Updated last year
• allenai / mice
  ☆26Updated 2 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
• huashen218 / convxai
  CSCW 2023 Best Demo Award: Conversational AI Explanations to Support Human-AI Scientific Writing
  ☆13Updated last year
• technion-cs-nlp / irm-for-nli
  ☆11Updated 2 years ago
• allenai / feb
  Code associated with the paper: "Few-Shot Self-Rationalization with Natural Language Prompts"
  ☆13Updated 2 years ago
• john-hewitt / conditional-probing
  Codebase for running (conditional) probing experiments
  ☆23Updated 2 years ago
• ekinakyurek / influence
  Code for "Tracing Knowledge in Language Models Back to the Training Data"
  ☆37Updated 2 years ago
• allenai / tailor
  ☆31Updated last year
• successar / FRESH
  ☆27Updated last year
• princeton-nlp / rationale-robustness
  NAACL 2022: Can Rationalization Improve Robustness? https://arxiv.org/abs/2204.11790
  ☆27Updated 2 years ago
• GChrysostomou / ood_faith
  ☆13Updated last year
• pliang279 / LM_bias
  [ICML 2021] Towards Understanding and Mitigating Social Biases in Language Models
  ☆61Updated 2 years ago
• uds-lsv / NoisyNER
  A dataset for realistic evaluation of noisy label methods
  ☆14Updated last year
• g8a9 / ear
  Code associated with the paper "Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists"
  ☆48Updated 2 years ago
• technion-cs-nlp / bias-probing
  Debiasing Methods in Natural Language Understanding Make Bias More Accessible: Code and Data
  ☆14Updated 2 years ago
• copenlu / xai-benchmark
  A Diagnostic Study of Explainability Techniques for Text Classification
  ☆67Updated 4 years ago