A Diagnostic Study of Explainability Techniques for Text Classification
☆70Oct 23, 2020Updated 5 years ago
Alternatives and similar repositories for xai-benchmark
Users that are interested in xai-benchmark are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆26Jun 12, 2023Updated 2 years ago
- Code for the paper "Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers"☆18Dec 15, 2020Updated 5 years ago
- AAAI 2022 paper - Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction☆17Dec 23, 2021Updated 4 years ago
- Interpreting Language Models with Contrastive Explanations (EMNLP 2022 Best Paper Honorable Mention)☆61May 12, 2022Updated 3 years ago
- Code for NAACL 2022 paper "Reframing Human-AI Collaboration for Generating Free-Text Explanations"☆30Apr 28, 2023Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- This repository contains codes to explain One-Dimensional Convolutional Neural Networks (1D-CNN) using Layer-wise Relevance Propagation.☆13Aug 24, 2021Updated 4 years ago
- ☆20Oct 12, 2021Updated 4 years ago
- Code for Evaluating Explanations for Reading Comprehension with Realistic Counterfactuals.☆17Apr 25, 2021Updated 4 years ago
- ☆11Dec 23, 2021Updated 4 years ago
- Repository for "Training Language Models To Explain Their Own Computations"☆21Dec 22, 2025Updated 3 months ago
- Robust Attribution Regularization☆16Feb 17, 2022Updated 4 years ago
- Pytorch implementation of DiffMask☆57Jun 12, 2023Updated 2 years ago
- Code for gradient rollback, which explains predictions of neural matrix factorization models, as for example used for knowledge base comp…☆21Mar 16, 2021Updated 5 years ago
- ☆19Jul 7, 2021Updated 4 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- This repository contains code for the paper "Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs" (Wang, Lawrence…☆17Mar 8, 2021Updated 5 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆82Dec 8, 2022Updated 3 years ago
- Tokenize and clean strings in Python☆11Jan 11, 2018Updated 8 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆254Aug 17, 2024Updated last year
- MinScIE is an Open Information Extraction system which provides structured knowledge enriched with semantic information about citations.☆15Jun 9, 2019Updated 6 years ago
- ☆38Apr 29, 2023Updated 2 years ago
- This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"☆20May 19, 2022Updated 3 years ago
- ☆91Jun 6, 2022Updated 3 years ago
- Easy-to-use MIRAGE code for faithful answer attribution in RAG applications. Paper: https://aclanthology.org/2024.emnlp-main.347/☆26Mar 10, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆17Aug 30, 2025Updated 7 months ago
- Discretized Integrated Gradients for Explaining Language Models (EMNLP 2021)☆27Mar 26, 2022Updated 4 years ago
- Interpretable Neural Predictions with Differentiable Binary Variables☆85May 7, 2021Updated 4 years ago
- Code for the paper "REV: Information-Theoretic Evaluation of Free-Text Rationales"☆16Aug 11, 2023Updated 2 years ago
- The code snippets for the SW chapter of the "Interpretable AI" book.☆19Apr 10, 2019Updated 7 years ago
- Rationales for Sequential Predictions☆40Mar 10, 2022Updated 4 years ago
- CSCW 2023 Best Demo Award: Conversational AI Explanations to Support Human-AI Scientific Writing☆14Jun 25, 2023Updated 2 years ago
- Official Code for Towards Transparent and Explainable Attention Models paper (ACL 2020)☆35Jun 22, 2022Updated 3 years ago
- ☆18Oct 6, 2022Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- About Data and Codes for EMNLP 2023 System Demo Paper "QACHECK: A Demonstration System for Question-Guided Multi-Hop Fact-Checking"☆19Dec 19, 2023Updated 2 years ago
- Code associated with the paper: "Few-Shot Self-Rationalization with Natural Language Prompts"☆13Apr 27, 2022Updated 3 years ago
- Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks☆18May 11, 2022Updated 3 years ago
- A benchmark for understanding and evaluating rationales: http://www.eraserbenchmark.com/☆100Nov 11, 2022Updated 3 years ago
- Code for EMNLP 2021 paper "Measuring Association Between Labels and Free-Text Rationales"☆12Sep 12, 2023Updated 2 years ago
- Implementation, trained models and result data for the paper "Pairwise Multi-Class Document Classification for Semantic Relations between…☆31Jun 12, 2023Updated 2 years ago
- ☆16Apr 14, 2021Updated 5 years ago