34 citations · 107 across the 14 of their papers we have counts for
13 papers · 1 filter
Contextualization with SPLADE for High Recall Retrieval
Eugene Yang
High Recall Retrieval (HRR), such as eDiscovery and medical systematic review, is a search problem that optimizes the cost of retrieving most relevant documents in a given collecti…
Language Fairness in Multilingual Information Retrieval
Eugene Yang, Thomas Jänich, James Mayfield +1
Multilingual information retrieval (MLIR) considers the problem of ranking documents in several languages for a query expressed in a language that may differ from any of those lang…
Distillation for Multilingual Information Retrieval
Eugene Yang, Dawn Lawrie, James Mayfield
Recent work in cross-language information retrieval (CLIR), where queries and documents are in different languages, has shown the benefit of the Translate-Distill framework that tr…
PLAID SHIRTTT for Large-Scale Streaming Dense Retrieval
Dawn Lawrie, Efsun Kayi, Eugene Yang +2
PLAID, an efficient implementation of the ColBERT late interaction bi-encoder using pretrained language models for ranking, consistently achieves state-of-the-art performance in mo…
C3: Continued Pretraining with Contrastive Weak Supervision for Cross Language Ad-Hoc Retrieval
Eugene Yang, Suraj Nair, Ramraj Chandradevan +2
Pretrained language models have improved effectiveness on numerous tasks, including ad-hoc retrieval. Recent work has shown that continuing to pretrain a language model with auxili…
TARexp: A Python Framework for Technology-Assisted Review Experiments
Eugene Yang, David D. Lewis
Technology-assisted review (TAR) is an important industrial application of information retrieval (IR) and machine learning (ML). While a small TAR research community exists, the co…