4 citations · 4 across the 4 of their papers we have counts for
5 papers
Reflections and New Directions for Human-Centered Large Language Models
Caleb Ziems, Dora Zhao, Rose E. Wang +55
Large Language Models (LLMs) are increasingly shaping the private and professional lives of users, with numerous applications in business, education, finance, healthcare, law, and…
Large Language Models Show Human-like Social Desirability Biases in Survey Responses
Aadesh Salecha, Molly E. Ireland, Shashanka Subrahmanya +3
As Large Language Models (LLMs) become widely used to model and simulate human behavior, understanding their biases becomes critical. We developed an experimental framework using B…
Time Complexity Analysis of an Evolutionary Algorithm for approximating Nash Equilibriums
Aadesh Salecha
The framework outlined in [arXiv:2010.13024] provides an approximation algorithm for computing Nash equilibria of normal form games. Since NASH is a well-known PPAD-complete proble…
Detecting Fake News Spreaders in Social Networks using Inductive Representation Learning
Bhavtosh Rath, Aadesh Salecha, Jaideep Srivastava
An important aspect of preventing fake news dissemination is to proactively detect the likelihood of its spreading. Research in the domain of fake news spreader detection has not b…
Emergence and Stability of Self-Evolved Cooperative Strategies using Stochastic Machines
Jin Hong Kuan, Aadesh Salecha
To investigate the origin of cooperative behaviors, we developed an evolutionary model of sequential strategies and tested our model with computer simulations. The sequential strat…