3 citations · 4 across the 6 of their papers we have counts for
6 papers
REQUAL-LM: Reliability and Equity through Aggregation in Large Language Models
Sana Ebrahimi, Nima Shahbazi, Abolfazl Asudeh
The extensive scope of large language models (LLMs) across various domains underscores the critical importance of responsibility in their application, beyond natural language proce…
AXOLOTL: Fairness through Assisted Self-Debiasing of Large Language Model Outputs
Sana Ebrahimi, Kaiwen Chen, Abolfazl Asudeh +2
Pre-trained Large Language Models (LLMs) have significantly advanced natural language processing capabilities but are susceptible to biases present in their training data, leading…
Efficient Strongly Polynomial Algorithms for Quantile Regression
Suraj Shetiya, Shohedul Hasan, Abolfazl Asudeh +1
Linear Regression is a seminal technique in statistics and machine learning, where the objective is to build linear predictive models between a response (i.e., dependent) variable…
PopSim: An Individual-level Population Simulator for Equitable Allocation of City Resources
Khanh Duy Nguyen, Nima Shahbazi, Abolfazl Asudeh
Historical systematic exclusionary tactics based on race have forced people of certain demographic groups to congregate in specific urban areas. Aside from the ethical aspects of s…
FairPilot: An Explorative System for Hyperparameter Tuning through the Lens of Fairness
Francesco Di Carlo, Nazanin Nezami, Hadis Anahideh +1
Despite the potential benefits of machine learning (ML) in high-risk decision-making domains, the deployment of ML is not accessible to practitioners, and there is a risk of discri…
Crowdsourcing Pareto-Optimal Object Finding by Pairwise Comparisons
Abolfazl Asudeh, Gensheng Zhang, Naeemul Hassan +2
This is the first study on crowdsourcing Pareto-optimal object finding, which has applications in public opinion collection, group decision making, and information exploration. Dep…