Seshadri, Preethi

1. The Bias Amplification Paradox in Text-to-Image Generation
   2023/08/01 by Preethi Seshadri, Sameer Singh, Seshadri, Preethi +3 · 19 citations
   Computer Science · Psychology · Social Sciences · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Computers and Society (cs.CY) #Educational Games and Gamification #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling #Wikis in Education and Collaboration
2. Quantifying Social Biases Using Templates is Unreliable
   2022/10/09 by Preethi Seshadri, Pouya Pezeshkpour, Seshadri, Preethi +3 · 5 citations
   Computer Science · #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Text Readability and Simplification #Topic Modeling
3. Command A: An Enterprise-Ready Large Language Model
   2025/04/01 by Team Cohere, Cohere, Team, : +316 · 20 citations
   Business, Management and Accounting · Computer Science · #Business Process Modeling and Analysis #Software System Performance and Reliability #Advanced Software Engineering Methodologies
4. Are Models Biased on Text without Gender-related Language?
   2024/05/01 by Catarina G Belém, Preethi Seshadri, Belém, Catarina G +5 · 2 citations
   Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Gender Studies in Language #Machine Learning (cs.LG)
5. How Many Images Does It Take? Estimating Imitation Thresholds in Text-to-Image Models
   2024/10/19 by Sahil Verma, Verma, Sahil, Royi Rassin +15 · 2 citations
   Medicine · Neuroscience · #Computer Vision and Pattern Recognition (cs.CV) #Empathy and Medical Education #FOS: Computer and information sciences #Neurology and Historical Studies