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Victor De Lima

I am currently pursuing a Ph.D. in Computer Science at Georgetown University. I work in the InfoSense Lab, where I am advised by Grace Hui Yang. My research focuses on large language model applications, including reinforcement learning methods and conversational agent systems.

Recent Posts

What I’ve been up to.

publications / articles
Victor De Lima et al. 2026. FrameRef: A Framing Dataset and Simulation Testbed for Modeling Bounded Rational Information Health. arXiv.
arXiv
 
Topics:  conversational agents, information retrieval
publications / conference proceedings
Victor De Lima and Grace Hui Yang. 2025. Passage Query Methods for Retrieval and Reranking in Conversational Agents. In Proceedings of the Thirty-Third Text Retrieval Conference (TREC 2024), November 18-22, 2024, Rockville, MD, USA.
article
 
arXiv
 
proceedings
 
presentation
 
Topics:  conversational agents, information retrieval
conferences and workshops / poster sessions
Victor De Lima and Grace Hui Yang. 2024. Does Query Tone and Structure Impact Neural Reranking Performance? In The Second Workshop on Task Focused IR in the Era of Generative AI, September 27, 2024, Microsoft Research, Redmond, WA, USA.
poster
 
workshop page
 
Topics:  conversational agents, information retrieval
news
Aug 28, 2024. Started my Ph.D. in Computer Science at the Georgetown InfoSense lab!
misc

Georgetown Data Science and Analytics Department. 2023. DSAN Students Stand Out at AMCIS Conference in Panama City.
article
 
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