activity
20202026
most citedC3: Continued Pretraining with Contrastive Weak Supervision for Cross Language Ad-Hoc Retrieval

34 citations · 156 across the 42 of their papers we have counts for

collaborators
Showing 2024Show all

11 papers · 1 filter

cs.CV2024

MultiVENT 2.0: A Massive Multilingual Benchmark for Event-Centric Video Retrieval

Reno Kriz, Kate Sanders, David Etter +10

Efficiently retrieving and synthesizing information from large-scale multimodal collections has become a critical challenge. However, existing video retrieval datasets suffer from…

cs.CL2024★ 25 cited

On the Evaluation of Machine-Generated Reports

James Mayfield, Eugene Yang, Dawn Lawrie +10

Large Language Models (LLMs) have enabled new ways to satisfy information needs. Although great strides have been made in applying them to settings like document ranking and short-…

cs.IR2024

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…

cs.IR2024★ 2 cited

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…

cs.IR2024★ 7 cited

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…

cs.IR2024★ 3 cited

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…

cs.IR2024

Efficiency-Effectiveness Tradeoff of Probabilistic Structured Queries for Cross-Language Information Retrieval

Eugene Yang, Suraj Nair, Dawn Lawrie +3

Probabilistic Structured Queries (PSQ) is a cross-language information retrieval (CLIR) method that uses translation probabilities statistically derived from aligned corpora. PSQ i…

cs.IR2024

Extending Translate-Train for ColBERT-X to African Language CLIR

Eugene Yang, Dawn J. Lawrie, Paul McNamee +1

This paper describes the submission runs from the HLTCOE team at the CIRAL CLIR tasks for African languages at FIRE 2023. Our submissions use machine translation models to translat…

cs.CL2024

HLTCOE at TREC 2023 NeuCLIR Track

Eugene Yang, Dawn Lawrie, James Mayfield

The HLTCOE team applied PLAID, an mT5 reranker, and document translation to the TREC 2023 NeuCLIR track. For PLAID we included a variety of models and training techniques -- the En…

cs.IR2024★ 2 cited

Overview of the TREC 2023 NeuCLIR Track

Dawn Lawrie, Sean MacAvaney, James Mayfield +4

The principal goal of the TREC Neural Cross-Language Information Retrieval (NeuCLIR) track is to study the impact of neural approaches to cross-language information retrieval. The…

cs.IR2024

Translate-Distill: Learning Cross-Language Dense Retrieval by Translation and Distillation

Eugene Yang, Dawn Lawrie, James Mayfield +2

Prior work on English monolingual retrieval has shown that a cross-encoder trained using a large number of relevance judgments for query-document pairs can be used as a teacher to…