6 citations · 8 across the 4 of their papers we have counts for
4 papers
Information-Consistent Language Model Recommendations through Group Relative Policy Optimization
Sonal Prabhune, Balaji Padmanabhan, Kaushik Dutta
Large Language Models (LLMs) are increasingly deployed in business-critical domains such as finance, education, healthcare, and customer support, where users expect consistent and…
Do LLMs have a Gender (Entropy) Bias?
Sonal Prabhune, Balaji Padmanabhan, Kaushik Dutta
We investigate the existence and persistence of a specific type of gender bias in some of the popular LLMs and contribute a new benchmark dataset, RealWorldQuestioning (released on…
AI Hallucinations: A Misnomer Worth Clarifying
Negar Maleki, Balaji Padmanabhan, Kaushik Dutta
As large language models continue to advance in Artificial Intelligence (AI), text generation systems have been shown to suffer from a problematic phenomenon termed often as "hallu…
Representing Social Networks as Dynamic Heterogeneous Graphs
Negar Maleki, Balaji Padamanabhan, Kaushik Dutta
Graph representations for real-world social networks in the past have missed two important elements: the multiplexity of connections as well as representing time. To this end, in t…