37 citations · 76 across the 8 of their papers we have counts for
8 papers
Soft Prompt Decoding for Multilingual Dense Retrieval
Zhiqi Huang, Hansi Zeng, Hamed Zamani +1
In this work, we explore a Multilingual Information Retrieval (MLIR) task, where the collection includes documents in multiple languages. We demonstrate that applying state-of-the-…
Evaluating the Robustness of Conversational Recommender Systems by Adversarial Examples
Ali Montazeralghaem, James Allan
Conversational recommender systems (CRSs) are improving rapidly, according to the standard recommendation accuracy metrics. However, it is essential to make sure that these systems…
Cross-lingual Knowledge Transfer via Distillation for Multilingual Information Retrieval
Zhiqi Huang, Puxuan Yu, James Allan
In this paper, we introduce the approach behind our submission for the MIRACL challenge, a WSDM 2023 Cup competition that centers on ad-hoc retrieval across 18 diverse languages. O…
Rank-LIME: Local Model-Agnostic Feature Attribution for Learning to Rank
Tanya Chowdhury, Razieh Rahimi, James Allan
Understanding why a model makes certain predictions is crucial when adapting it for real world decision making. LIME is a popular model-agnostic feature attribution method for the…
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…
AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction
Dong-Ho Lee, Ravi Kiran Selvam, Sheikh Muhammad Sarwar +6
Deep neural models for named entity recognition (NER) have shown impressive results in overcoming label scarcity and generalizing to unseen entities by leveraging distant supervisi…
A Study of Neural Matching Models for Cross-lingual IR
Puxuan Yu, James Allan
In this study, we investigate interaction-based neural matching models for ad-hoc cross-lingual information retrieval (CLIR) using cross-lingual word embeddings (CLWEs). With exper…
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…