Large language models for information retrieval: A survey

Y Zhu, H Yuan, S Wang, J Liu, W Liu, C Deng… - arXiv preprint arXiv …, 2023 - arxiv.org
As a primary means of information acquisition, information retrieval (IR) systems, such as
search engines, have integrated themselves into our daily lives. These systems also serve …

Large Language Models as Zero-Shot Keyphrase Extractor: A Preliminary Empirical Study

M Song, X Geng, S Yao, S Lu, Y Feng… - arXiv preprint arXiv …, 2023 - arxiv.org
Zero-shot keyphrase extraction aims to build a keyphrase extractor without training by
human-annotated data, which is challenging due to the limited human intervention involved …

[PDF][PDF] Seupd@ clef: team iris on temporal evolution of query expansion and rank fusion techniques applied to cross-encoder re-rankers

F Galli, M Rigobello, M Schibuola, R Zuech, N Ferro - Faggioli et al.[12], 2024 - ceur-ws.org
This paper presents how the IRIS group of the Search Engines 2023/2024 course, held at
the University of Padua, developed its Information Retrieval system for the Task 1-LongEval …

Generative Query Reformulation Using Ensemble Prompting, Document Fusion, and Relevance Feedback

KD Dhole, R Chandradevan, E Agichtein - arXiv preprint arXiv:2405.17658, 2024 - arxiv.org
Query Reformulation (QR) is a set of techniques used to transform a user's original search
query to a text that better aligns with the user's intent and improves their search experience …