2 citations · 2 across the 3 of their papers we have counts for
3 papers
RiverText: A Python Library for Training and Evaluating Incremental Word Embeddings from Text Data Streams
Gabriel Iturra-Bocaz, Felipe Bravo-Marquez
Word embeddings have become essential components in various information retrieval and natural language processing tasks, such as ranking, document classification, and question answ…
Impact of Shallow vs. Deep Relevance Judgments on BERT-based Reranking Models
Gabriel Iturra-Bocaz, Danny Vo, Petra Galuscakova
This paper investigates the impact of shallow versus deep relevance judgments on the performance of BERT-based reranking models in neural Information Retrieval. Shallow-judged data…
UiS-IAI@LiveRAG: Retrieval-Augmented Information Nugget-Based Generation of Responses
Weronika Łajewska, Ivica Kostric, Gabriel Iturra-Bocaz +2
Retrieval-augmented generation (RAG) faces challenges related to factual correctness, source attribution, and response completeness. The LiveRAG Challenge hosted at SIGIR'25 aims t…