21 citations · 23 across the 5 of their papers we have counts for
5 papers
PULSAR: Pooled Unified Late-Interaction Search and Retrieval for Enterprise Visual Document RAG
Benjamin Constable, Anup Roy, Vishal Sharma +3
Institutional investors search visually dense pitch decks, board packs, and diligence materials that change hourly near deal closing. OCR followed by figure verbalisation is costly…
Beyond Patch Aggregation: 3-Pass Pyramid Indexing for Vision-Enhanced Document Retrieval
Anup Roy, Rishabh Gyanendra Upadhyay, Animesh Rameshbhai Panara +2
Document centric RAG pipelines usually begin with OCR, followed by brittle heuristics for chunking, table parsing, and layout reconstruction. These text first workflows are costly…
Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy
Rishabh Uapadhyay, Marco Viviani
The exponential surge in online health information, coupled with its increasing use by non-experts, highlights the pressing need for advanced Health Information Retrieval models th…
Health Misinformation Detection in Web Content via Web2Vec: A Structural-, Content-based, and Context-aware Approach based on Web2Vec
Rishabh Upadhyay, Gabriella Pasi, Marco Viviani
In recent years, we have witnessed the proliferation of large amounts of online content generated directly by users with virtually no form of external control, leading to the possi…
Enhancing Documents with Multidimensional Relevance Statements in Cross-encoder Re-ranking
Rishabh Upadhyay, Arian Askari, Gabriella Pasi +1
In this paper, we propose a novel approach to consider multiple dimensions of relevance beyond topicality in cross-encoder re-ranking. On the one hand, current multidimensional ret…