3 papers
cs.LG2026
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…
cs.CL2026
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…
cs.IR2024
Deploying Large Language Models With Retrieval Augmented Generation
Sonal Prabhune, Donald J. Berndt
Knowing that the generative capabilities of large language models (LLM) are sometimes hampered by tendencies to hallucinate or create non-factual responses, researchers have increa…