DFKI-NLP/InterroLang
InterroLang: Exploring NLP Models and Datasets through Dialogue-based Explanations [EMNLP 2023 Findings]
This tool helps researchers and practitioners in natural language processing (NLP) understand why their models make certain predictions and to analyze their datasets. You provide an NLP model (like for question answering or hate speech detection) and a dataset, and the tool generates explanations through an interactive dialogue. This is for data scientists, NLP researchers, or machine learning engineers who need to interpret their NLP models' behavior and explore their training data.
No commits in the last 6 months.
Use this if you need to gain deeper insights into how your NLP models are working, debug unexpected predictions, or explore the characteristics of your datasets through interactive explanations.
Not ideal if you are looking for a simple 'black box' solution without needing to understand the underlying mechanics of your NLP models or datasets.
Stars
9
Forks
—
Language
Python
License
—
Last pushed
Oct 23, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/DFKI-NLP/InterroLang"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
jessevig/bertviz
BertViz: Visualize Attention in Transformer Models
inseq-team/inseq
Interpretability for sequence generation models 🐛 🔍
EleutherAI/knowledge-neurons
A library for finding knowledge neurons in pretrained transformer models.
hila-chefer/Transformer-MM-Explainability
[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for...
cdpierse/transformers-interpret
Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model...