{"total":14,"rows":[{"id":"2101.05667","title":"The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models","created":"2021-01-14","cited_by_count":81,"area":null},{"id":"2107.02975","title":"Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review","created":"2021-07-07","cited_by_count":35,"area":null},{"id":"2302.14035","title":"The ROOTS Search Tool: Data Transparency for LLMs","created":"2023-02-27","cited_by_count":31,"area":null},{"id":"2105.04021","title":"MS MARCO: Benchmarking Ranking Models in the Large-Data Regime","created":"2021-05-09","cited_by_count":28,"area":null},{"id":"2205.09226","title":"Modeling Multi-hop Question Answering as Single Sequence Prediction","created":"2022-05-18","cited_by_count":21,"area":null},{"id":"2104.03879","title":"COVID-19 Named Entity Recognition for Vietnamese","created":"2021-04-08","cited_by_count":19,"area":null},{"id":"2306.01481","title":"GAIA Search: Hugging Face and Pyserini Interoperability for NLP Training Data Exploration","created":"2023-06-02","cited_by_count":8,"area":null},{"id":"2101.03013","title":"Multistage BiCross encoder for multilingual access to COVID-19 health information","created":"2021-01-08","cited_by_count":3,"area":null},{"id":"2302.14534","title":"Spacerini: Plug-and-play Search Engines with Pyserini and Hugging Face","created":"2023-02-28","cited_by_count":3,"area":null},{"id":"2205.00126","title":"SciEv: Finding Scientific Evidence Papers for Scientific News","created":"2022-04-30","cited_by_count":1,"area":null},{"id":"2210.14837","title":"NeuralSearchX: Serving a Multi-billion-parameter Reranker for Multilingual Metasearch at a Low Cost","created":"2022-10-26","cited_by_count":1,"area":null},{"id":"2106.08252","title":"Interpretable Self-supervised Multi-task Learning for COVID-19 Information Retrieval and Extraction","created":"2021-06-15","cited_by_count":0,"area":null},{"id":"2504.09398","title":"Composable NLP Workflows for BERT-based Ranking and QA System","created":"2025-04-13","cited_by_count":0,"area":null},{"id":"2506.18311","title":"Enhancing Document Retrieval in COVID-19 Research: Leveraging Large Language Models for Hidden Relation Extraction","created":"2025-06-23","cited_by_count":0,"area":null}],"next_cursor":null}