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Pranav Kasela

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.IR4
ORCID 0000-0003-0972-2424

identity via Semantic Scholar / OpenAlex

most citedUtilizing ChatGPT to Enhance Clinical Trial Enrollment

4 citations · 7 across the 4 of their papers we have counts for

collaborators

4 papers

cs.IR2024★ 2 cited

DESIRE-ME: Domain-Enhanced Supervised Information REtrieval using Mixture-of-Experts

Pranav Kasela, Gabriella Pasi, Raffaele Perego +1

Open-domain question answering requires retrieval systems able to cope with the diverse and varied nature of questions, providing accurate answers across a broad spectrum of query…

cs.IR2023

SE-PEF: a Resource for Personalized Expert Finding

Pranav Kasela, Gabriella Pasi, Raffaele Perego

The problem of personalization in Information Retrieval has been under study for a long time. A well-known issue related to this task is the lack of publicly available datasets tha…

cs.IR2023★ 1 cited

Denoising Attention for Query-aware User Modeling in Personalized Search

Elias Bassani, Pranav Kasela, Gabriella Pasi

The personalization of search results has gained increasing attention in the past few years, thanks to the development of Neural Networks-based approaches for Information Retrieval…

cs.IR2023★ 4 cited

Utilizing ChatGPT to Enhance Clinical Trial Enrollment

Georgios Peikos, Symeon Symeonidis, Pranav Kasela +1

Clinical trials are a critical component of evaluating the effectiveness of new medical interventions and driving advancements in medical research. Therefore, timely enrollment of…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.