21 citations · 72 across the 15 of their papers we have counts for
15 papers
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…
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…
Interactive Topic Models with Optimal Transport
Garima Dhanania, Sheshera Mysore, Chau Minh Pham +3
Topic models are widely used to analyze document collections. While they are valuable for discovering latent topics in a corpus when analysts are unfamiliar with the corpus, analys…
Corporate Communication Companion (CCC): An LLM-empowered Writing Assistant for Workplace Social Media
Zhuoran Lu, Sheshera Mysore, Tara Safavi +3
Workplace social media platforms enable employees to cultivate their professional image and connect with colleagues in a semi-formal environment. While semi-formal corporate commun…
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…
Large Language Model Augmented Narrative Driven Recommendations
Sheshera Mysore, Andrew McCallum, Hamed Zamani
Narrative-driven recommendation (NDR) presents an information access problem where users solicit recommendations with verbose descriptions of their preferences and context, for exa…