🐍 A Collection of Notes for Learning & Understanding Deep Learning / Machine Learning / Artificial Intelligence (AI) with TensorFlow 🐍
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Updated
Feb 29, 2024 - Python
🐍 A Collection of Notes for Learning & Understanding Deep Learning / Machine Learning / Artificial Intelligence (AI) with TensorFlow 🐍
EMNLP'2020: Look at the First Sentence: Position Bias in Question Answering
Repo for ICCV 2021 paper: Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering
The MERIT Dataset is a fully synthetic, labeled dataset created for training and benchmarking LLMs on Visually Rich Document Understanding tasks. It is also designed to help detect biases and improve interpretability in LLMs, where we are actively working. This repository is actively maintained, and new features are continuously being added.
Tune weights manually.
Summarization benchmark for studying corpus bias of your system
Image extraction and bias analysis
Comparison of Model Output Statistics and Adaptive Regression based on Kalman Filters for the Lorenz-96 Model.
Tool for the automatic assessment of biases in LLM models
This web application is inspired by "Guess Who" game. The goal of the game is to study stereotypes.
To associate your repository with the biases topic, visit your repo's landing page and select "manage topics."