2 citations · 2 across the 4 of their papers we have counts for
5 papers
FairLint-DL: An IDE-Native Tool for Fairness Debugging of Deep Learning Software
Archit Rathod, Saeid Tizpaz-Niari
Existing fairness analysis tools predominantly operate as post-training evaluation frameworks, requiring practitioners to complete the full model development lifecycle before asses…
Auditing Discriminatory Patterns in Mortgage Lending Through Association Rules and Fair Binning
Archit Rathod, Dhwani Chande, Het Nagda
Mortgage lending in the United States exhibits persistent racial and gender disparities. We investigate whether standard data preprocessing steps, specifically attribute binning, a…
Measuring and Mitigating Toxicity in Large Language Models: A Comprehensive Replication Study
Mokshit Surana, Archit Rathod, Akshaj Satishkumar
Large Language Models (LLMs) trained on web-scale corpora inherently absorb toxic patterns from their training data. This leads to toxic degeneration where even innocuous prompts c…
Leveraging CNNs and Ensemble Learning for Automated Disaster Image Classification
Archit Rathod, Veer Pariawala, Mokshit Surana +1
Natural disasters act as a serious threat globally, requiring effective and efficient disaster management and recovery. This paper focuses on classifying natural disaster images us…
Multiagent Simulators for Social Networks
Aditya Surve, Archit Rathod, Mokshit Surana +5
Multiagent social network simulations are an avenue that can bridge the communication gap between the public and private platforms in order to develop solutions to a complex array…