5 papers
Ontology-Guided Query Expansion for Biomedical Document Retrieval using Large Language Models
Zabir Al Nazi, Vagelis Hristidis, Aaron Lawson McLean +2
Effective Question Answering (QA) on large biomedical document collections requires effective document retrieval techniques. The latter remains a challenging task due to the domain…
Progressive Query Expansion for Retrieval Over Cost-constrained Data Sources
Muhammad Shihab Rashid, Jannat Ara Meem, Yue Dong +1
Query expansion has been employed for a long time to improve the accuracy of query retrievers. Earlier works relied on pseudo-relevance feedback (PRF) techniques, which augment a q…
NORMY: Non-Uniform History Modeling for Open Retrieval Conversational Question Answering
Muhammad Shihab Rashid, Jannat Ara Meem, Vagelis Hristidis
Open Retrieval Conversational Question Answering (OrConvQA) answers a question given a conversation as context and a document collection. A typical OrConvQA pipeline consists of th…
PAT-Questions: A Self-Updating Benchmark for Present-Anchored Temporal Question-Answering
Jannat Ara Meem, Muhammad Shihab Rashid, Yue Dong +1
Existing work on Temporal Question Answering (TQA) has predominantly focused on questions anchored to specific timestamps or events (e.g. "Who was the US president in 1970?"). Litt…
EcoRank: Budget-Constrained Text Re-ranking Using Large Language Models
Muhammad Shihab Rashid, Jannat Ara Meem, Yue Dong +1
Large Language Models (LLMs) have achieved state-of-the-art performance in text re-ranking. This process includes queries and candidate passages in the prompts, utilizing pointwise…