26 citations · 35 across the 8 of their papers we have counts for
7 papers · 1 filter
REAPER: Reasoning based Retrieval Planning for Complex RAG Systems
Ashutosh Joshi, Sheikh Muhammad Sarwar, Samarth Varshney +3
Complex dialog systems often use retrieved evidence to facilitate factual responses. Such RAG (Retrieval Augmented Generation) systems retrieve from massive heterogeneous data stor…
Scalable and Effective Generative Information Retrieval
Hansi Zeng, Chen Luo, Bowen Jin +3
Recent research has shown that transformer networks can be used as differentiable search indexes by representing each document as a sequences of document ID tokens. These generativ…
Mixed Attention Transformer for Leveraging Word-Level Knowledge to Neural Cross-Lingual Information Retrieval
Zhiqi Huang, Hamed Bonab, Sheikh Muhammad Sarwar +2
Pretrained contextualized representations offer great success for many downstream tasks, including document ranking. The multilingual versions of such pretrained representations pr…
Semantic Driven Fielded Entity Retrieval
Shahrzad Naseri, Sheikh Muhammad Sarwar, James Allan
A common approach for knowledge-base entity search is to consider an entity as a document with multiple fields. Models that focus on matching query terms in different fields are po…
A Multi-Task Architecture on Relevance-based Neural Query Translation
Sheikh Muhammad Sarwar, Hamed Bonab, James Allan
We describe a multi-task learning approach to train a Neural Machine Translation (NMT) model with a Relevance-based Auxiliary Task (RAT) for search query translation. The translati…
Named Entity Recognition with Extremely Limited Data
John Foley, Sheikh Muhammad Sarwar, James Allan
Traditional information retrieval treats named entity recognition as a pre-indexing corpus annotation task, allowing entity tags to be indexed and used during search. Named entity…