NLP

This blog post explores the three-stage bias detection process in DeepEval, an LLM-based evaluation system that quantifies bias in AI-generated text. The methodology leverages structured validation, templated prompts, and a scoring framework to assess bias across multiple categories.

As part of my Decoding LLMs course, this project investigates the challenges of detecting AI-generated text in academic settings. Our team explores state-of-the-art detection methods, benchmarks existing classifiers, and develops a detection model trained on diverse datasets. The goal is to enhance academic integrity by providing reliable AI-text detection tools.