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09/16/2023
PDFTriage: Question Answering over Long, Structured Documents
Large Language Models (LLMs) have issues with document question answerin...
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03/01/2023
UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers
Many information retrieval tasks require large labeled datasets for fine...
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12/02/2022
Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking
Neural information retrieval (IR) systems have progressed rapidly in rec...
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10/24/2022
Evaluation of Argo Scholar with Observational Study
Discovering and making sense of relevant literature is fundamental in an...
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07/11/2022
Embedding Recycling for Language Models
Training and inference with large neural models is expensive. However, f...
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12/02/2021
ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction
Neural information retrieval (IR) has greatly advanced search and other ...
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10/26/2021
Argo Scholar: Interactive Visual Exploration of Literature in Browsers
Discovering and making sense of relevant research literature is fundamen...
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08/31/2021
A Search Engine for Discovery of Scientific Challenges and Directions
Keeping track of scientific challenges, advances and emerging directions...
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06/15/2021
Quantifying the Impact of Human Capital, Job History, and Language Factors on Job Seniority with a Large-scale Analysis of Resumes
As job markets worldwide have become more competitive and applicant sele...
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03/30/2021
EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models
The advent of larger machine learning (ML) models have improved state-of...
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10/09/2020
Examining the Ordering of Rhetorical Strategies in Persuasive Requests
Interpreting how persuasive language influences audiences has implicatio...
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08/31/2020
Mapping Researchers with PeopleMap
Discovering research expertise at universities can be a difficult task. ...
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06/10/2020