activity
20202024
most citedOn the Evaluation of Machine-Generated Reports

25 citations · 51 across the 17 of their papers we have counts for

collaborators

20 papers

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★ 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…