1 citations · 2 across the 4 of their papers we have counts for
4 papers
DISCO: Document Intelligence Suite for COmparative Evaluation
Kenza Benkirane, Dan Goldwater, Martin Asenov +1
Document intelligence requires accurate text extraction and reliable reasoning over document content. We introduce \textbf{DISCO}, a \emph{Document Intelligence Suite for COmparati…
Retrieval or Representation? Reassessing Benchmark Gaps in Multilingual and Visually Rich RAG
Martin Asenov, Kenza Benkirane, Dan Goldwater +1
Retrieval-augmented generation (RAG) is a common way to ground language models in external documents and up-to-date information. Classical retrieval systems relied on lexical metho…
How Can We Diagnose and Treat Bias in Large Language Models for Clinical Decision-Making?
Kenza Benkirane, Jackie Kay, Maria Perez-Ortiz
Recent advancements in Large Language Models (LLMs) have positioned them as powerful tools for clinical decision-making, with rapidly expanding applications in healthcare. However,…
Machine Translation Hallucination Detection for Low and High Resource Languages using Large Language Models
Kenza Benkirane, Laura Gongas, Shahar Pelles +5
Recent advancements in massively multilingual machine translation systems have significantly enhanced translation accuracy; however, even the best performing systems still generate…