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Towards Automated End-to-End Health Misinformation Free Search with a Large Language Model

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  1. Chapter and Conference Paper

    From MAXSCORE to Block-Max Wand: The Story of How Lucene Significantly Improved Query Evaluation Performance

    The latest major release of Lucene (version 8) in March 2019 incorporates block-max indexes and exploits the block-max variant of Wand for query evaluation, which are innovations that originated from academia. Th...

    Adrien Grand, Robert Muir, Jim Ferenczi, Jimmy Lin in Advances in Information Retrieval (2020)

  2. Chapter and Conference Paper

    Which BM25 Do You Mean? A Large-Scale Reproducibility Study of Scoring Variants

    When researchers speak of BM25, it is not entirely clear which variant they mean, since many tweaks to Robertson et al.’s original formulation have been proposed. When practitioners speak of BM25, they most li...

    Chris Kamphuis, Arjen P. de Vries, Leonid Boytsov in Advances in Information Retrieval (2020)

  3. Chapter and Conference Paper

    Reproducibility is a Process, Not an Achievement: The Replicability of IR Reproducibility Experiments

    This paper espouses a view of reproducibility in the computational sciences as a process and not just a point-in-time “achievement”. As a concrete case study, we revisit the Open-Source IR Reproducibility Challen...

    Jimmy Lin, Qian Zhang in Advances in Information Retrieval (2020)

  4. Article

    The role of index compression in score-at-a-time query evaluation

    This paper explores the performance of top k document retrieval with score-at-a-time query evaluation on impact-ordered indexes in main memory. To better understand execution efficiency in the context of modern p...

    Jimmy Lin, Andrew Trotman in Information Retrieval Journal (2017)

  5. Article

    Document vector representations for feature extraction in multi-stage document ranking

    We consider a multi-stage retrieval architecture consisting of a fast, “cheap” candidate generation stage, a feature extraction stage, and a more “expensive” reranking stage using machine-learned models. In th...

    Nima Asadi, Jimmy Lin in Information Retrieval (2013)

  6. Article

    Open Access

    Modeling actions of PubMed users with n-gram language models

    Transaction logs from online search engines are valuable for two reasons: First, they provide insight into human information-seeking behavior. Second, log data can be used to train user models, which can then ...

    Jimmy Lin, W. John Wilbur in Information Retrieval (2009)

  7. Article

    Open Access

    Syntactic sentence compression in the biomedical domain: facilitating access to related articles

    We explore a syntactic approach to sentence compression in the biomedical domain, grounded in the context of result presentation for related article search in the PubMed search engine. By automatically trimmin...

    Jimmy Lin, W. John Wilbur in Information Retrieval (2007)

  8. Article

    Methods for automatically evaluating answers to complex questions

    Evaluation is a major driving force in advancing the state of the art in language technologies. In particular, methods for automatically assessing the quality of machine output is the preferred method for meas...

    Jimmy Lin, Dina Demner-Fushman in Information Retrieval (2006)