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In monolingual dense retrieval, lots of works focus on how to distill knowledge from cross-encoder re-ranker to dual-encoder retriever and these methods achieve better performance due to the effectiveness of cross-encoder re-ranker.…

Information Retrieval · Computer Science 2023-03-28 Houxing Ren , Linjun Shou , Ning Wu , Ming Gong , Daxin Jiang

Database systems use query processing subsystems for enabling efficient query-based data retrieval. An essential aspect of designing any query-intensive application is tuning the query system to fit the application's requirements and…

Databases · Computer Science 2020-09-22 Dimitrios Vasilas , Marc Shapiro , Bradley King , Sara Hamouda

Until recently, search engines were the predominant method for people to access online information. The recent emergence of large language models (LLMs) has given machines new capabilities such as the ability to generate new digital…

The Deep Web is constituted by data that are accessible through Web pages, but not readily indexable by search engines as they are returned in dynamic pages. In this paper we propose a conceptual framework for answering keyword queries on…

Databases · Computer Science 2025-01-09 Andrea Calì , Davide Martinenghi , Riccardo Torlone

Geographic location search engines allow users to constrain and order search results in an intuitive manner by focusing a query on a particular geographic region. Geographic search technology, also called location search, has recently…

Information Retrieval · Computer Science 2010-05-07 M. Umamaheswari , S. Sivasubramanian

Organizations generate vast amounts of interconnected content across various platforms. While language models enable sophisticated reasoning for use in business applications, retrieving and contextualizing information from organizational…

Information Retrieval · Computer Science 2025-04-11 Adam McCabe , Matthew H. Chequers

Category systems are central components of knowledge bases, as they provide a hierarchical grouping of semantically related concepts and entities. They are a unique and valuable resource that is utilized in a broad range of information…

Information Retrieval · Computer Science 2020-08-20 Shuo Zhang , Krisztian Balog , Jamie Callan

Recent advances in large language models have enabled the development of viable generative retrieval systems. Instead of a traditional document ranking, generative retrieval systems often directly return a grounded generated text as a…

Query-document relevance prediction is a critical problem in Information Retrieval systems. This problem has increasingly been tackled using (pretrained) transformer-based models which are finetuned using large collections of labeled data.…

Information Retrieval · Computer Science 2023-06-21 Aditi Chaudhary , Karthik Raman , Krishna Srinivasan , Kazuma Hashimoto , Mike Bendersky , Marc Najork

The rapid growth of web has resulted in vast volume of information. Information availability at a rapid speed to the user is vital. English language (or any for that matter) has lot of ambiguity in the usage of words. So there is no…

Information Retrieval · Computer Science 2011-08-30 Jeevan H E , Prashanth P P , Punith Kumar S N , Vinay Hegde

Quantifying bias in retrieval functions through document retrievability scores is vital for assessing recall-oriented retrieval systems. However, many studies investigating retrieval model bias lack validation of their query generation…

Information Retrieval · Computer Science 2024-04-16 Aman Sinha , Priyanshu Raj Mall , Dwaipayan Roy

Generative search engines directly generate responses to user queries, along with in-line citations. A prerequisite trait of a trustworthy generative search engine is verifiability, i.e., systems should cite comprehensively (high citation…

Computation and Language · Computer Science 2023-10-25 Nelson F. Liu , Tianyi Zhang , Percy Liang

With the recent explosion in the size and complexity of source codebases and software projects, the need for efficient source code search engines has increased dramatically. Unfortunately, existing information retrieval-based methods fail…

Software Engineering · Computer Science 2021-09-27 Muhammad Khalifa

The hypergraph-of-entity was conceptually proposed as a general model for entity-oriented search. However, only the performance for ad hoc document retrieval had been assessed. We continue this line of research by also evaluating ad hoc…

Information Retrieval · Computer Science 2021-09-02 José Devezas , Sérgio Nunes

Dedicated software search engines that index open source software repositories or in-house software assets significantly enhance the chance of finding software components suitable for reuse. However, they still leave the work of evaluating…

Software Engineering · Computer Science 2013-03-25 Werner Janjic , Dietmar Stoll , Philipp Bostan , Colin Atkinson

Understanding search queries is critical for shopping search engines to deliver a satisfying customer experience. Popular shopping search engines receive billions of unique queries yearly, each of which can depict any of hundreds of user…

Information Retrieval · Computer Science 2020-01-14 Mukul Kumar , Youna Hu , Will Headden , Rahul Goutam , Heran Lin , Bing Yin

Methods for query answering over incomplete knowledge graphs retrieve entities that are likely to be answers, which is particularly useful when such answers cannot be reached by direct graph traversal due to missing edges. However, existing…

Artificial Intelligence · Computer Science 2026-05-25 Daniel Daza , Alberto Bernardi , Luca Costabello , Christophe Gueret , Masoud Mansoury , Michael Cochez , Martijn Schut

Search engines for equations now exist, which return results matching the query's mathematical meaning or structural presentation. Operating over scientific papers, online encyclopedias, and math discussion forums, their content includes…

Digital Libraries · Computer Science 2016-09-13 Deanna C. Pineau

The exponential growth of information source on the web and in turn continuing technological progress of searching the information by using tools like Search Engines gives rise to many problems for the user to know which tool is best for…

Information Retrieval · Computer Science 2025-03-13 Rajender Nath , Satinder Bal

Linking entities like people, organizations, books, music groups and their songs in text to knowledge bases (KBs) is a fundamental task for many downstream search and mining applications. Achieving high disambiguation accuracy crucially…

Information Retrieval · Computer Science 2018-10-25 Jaspreet Singh , Johannes Hoffart , Avishek Anand