3 papers
cs.IR2026
Can Instructed Retrieval Models Really Support Exploration?
Piyush Maheshwari, Sheshera Mysore, Hamed Zamani
Exploratory searches are characterized by under-specified goals and evolving query intents. In such scenarios, retrieval models that can capture user-specified nuances in query int…
cs.IR2025
Bridging Personalization and Control in Scientific Personalized Search
Sheshera Mysore, Garima Dhanania, Kishor Patil +3
Personalized search is a problem where models benefit from learning user preferences from per-user historical interaction data. The inferred preferences enable personalized ranking…
cs.CL2024
Pearl: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers
Sheshera Mysore, Zhuoran Lu, Mengting Wan +7
Powerful large language models have facilitated the development of writing assistants that promise to significantly improve the quality and efficiency of composition and communicat…