Pranav Kasela

According to our database, Pranav Kasela authored at least 16 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Investigating Mixture of Experts in Dense Retrieval.

Effrosyni Sokli, Pranav Kasela, Georgios Peikos, Gabriella Pasi

CoRR, 2024

Leveraging Large Language Models for Medical Information Extraction and Query Generation.

Georgios Peikos, Pranav Kasela, Gabriella Pasi

CoRR, 2024

Synthetic Data Generation with Large Language Models for Personalized Community Question Answering.

Marco Braga, Pranav Kasela, Alessandro Raganato, Gabriella Pasi

CoRR, 2024

SE-PQA: Personalized Community Question Answering.

Pranav Kasela, Marco Braga, Gabriella Pasi, Raffaele Perego

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Denoising Attention for Query-aware User Modeling.

Elias Bassani, Pranav Kasela, Gabriella Pasi

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

SE-PQA: StackExchange Personalized Community Question Answering.

Pranav Kasela, Marco Braga, Gabriella Pasi, Raffaele Perego

Proceedings of the 14th Italian Information Retrieval Workshop, 2024

DESIRE-ME: Domain-Enhanced Supervised Information Retrieval Using Mixture-of-Experts.

Pranav Kasela, Gabriella Pasi, Raffaele Perego, Nicola Tonellotto

Proceedings of the Advances in Information Retrieval, 2024

2023

SE-PEF: a Resource for Personalized Expert Finding.

Pranav Kasela, Gabriella Pasi, Raffaele Perego

Dataset, September, 2023

SE-PQA: a Resource for Personalized Community Question Answering.

Pranav Kasela, Gabriella Pasi, Raffaele Perego, Marco Braga

Dataset, May, 2023

SE-PQA: a Resource for Personalized Community Question Answering.

Pranav Kasela, Marco Braga, Gabriella Pasi, Raffaele Perego

Dataset, May, 2023

Denoising Attention for Query-aware User Modeling in Personalized Search.

Elias Bassani, Pranav Kasela, Gabriella Pasi

CoRR, 2023

SE-PQA: Personalized Community Question Answering.

Pranav Kasela, Gabriella Pasi, Raffaele Perego

CoRR, 2023

Utilizing ChatGPT to Enhance Clinical Trial Enrollment.

Georgios Peikos, Symeon Symeonidis, Pranav Kasela, Gabriella Pasi

CoRR, 2023

SE-PEF: a Resource for Personalized Expert Finding.

Pranav Kasela, Gabriella Pasi, Raffaele Perego

Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

2022

A Multi-domain Benchmark for Personalized Search Evaluation.

Elias Bassani, Pranav Kasela, Alessandro Raganato, Gabriella Pasi

Dataset, June, 2022

A Multi-Domain Benchmark for Personalized Search Evaluation.

Elias Bassani, Pranav Kasela, Alessandro Raganato, Gabriella Pasi

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022