[Official Code] Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data Augmentation
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Updated
Oct 24, 2023 - Jupyter Notebook
[Official Code] Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data Augmentation
Bias detection Toolkit: Chrome Extension, Python Package, SOTA research paper docs.
Analysis of nearly-coincident cloud top height (CTH) Level 2 data from MISR and MODIS on-board NASA's Terra satellite and ISS-CATS to validate passive sensor products.
My research, studying and assessing the extent to which latent bias is present in commercial facial recognition systems offered by Google Cloud, Face++, and Microsoft Azure. Created a 1600 image dataset with faces from 8 regions in South Asia. Used this dataset to assess each cloud service.
Benchmark tool aimed at evaluating biases of large language models
This repo contains the annotations and other artifacts of the paper titled: In What Languages are Generative Language Models the Most Formal? Analyzing Formality Distribution across Languages
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