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Selected presentations:
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Data-efficient and Explainable Ranking with BERT models
Talks @ Google, Glasgow University, and University of New Hampshire. Fall 2021-Spring 2022
[Slides]
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Leonid Boytsov on k-NN search and information retrieval:
A podcast with Radim Řehůřek (author of Gensim). March 2018.
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Off the Beaten Path: Let’s Replace Term-Based Retrieval with k-NN Search
Talks @ Allen AI, Bloomberg, Amazon, & Visa Research. Fall 2017
[Video] [Slides]
Thesis:
Efficient and Accurate Non-Metric k-NN Search with Applications to Text Matching, 2008.
[BLOG] [Software: (1)(2)]
Peer-reviewed papers and key tech-reports:
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I Mokrii, L Boytsov, P Braslavski., 2021
A Systematic Evaluation of Transfer Learning and Pseudo-labeling with BERT-based Ranking Models.
In Proceedings of the The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021).
[BLOG] [PDF] [Software (a straightforward use of FlexNeuART)]
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Boytsov, L., Kolter, Z., 2021.
Exploring Classic and Neural Lexical Translation Models for Information Retrieval: Interpretability, Effectiveness, and Efficiency Benefits.
In Proceedings of the 43rd European Conference on Information Retrieval (ECIR 2021).
[BLOG] [PDF]
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Boytsov, L., 2020.
Traditional IR rivals neural models on the MS MARCO Document Ranking Leaderboard.
Tech report.
[BLOG] [PDF] [Software]
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Boytsov, L., Nyberg. E., 2020.
Flexible retrieval with NMSLIB and FlexNeuART.
In Proceedings of the 2nd EMNLP Workshop for Natural Language Processing Open Source Software (NLP-OSS), 2020.
[PDF] [Software] [Slides & Video]
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C Kamphuis, AP de Vries, L Boytsov, J Lin, 2020.
Which BM25 Do You Mean? A Large-Scale Reproducibility Study of Scoring Variants.
In Proceedings of (ECIR 2020): European Conference on Information Retrieval.
[BLOG] [PDF]
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P Efimov, A Chertok, L Boytsov, P Braslavski, 2020.
SberQuAD--Russian Reading Comprehension Dataset: Description and Analysis.
In Proceedings of CLEF 2020: Experimental IR Meets Multilinguality, Multimodality, and Interaction.
[BLOG] [PDF]
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Boytsov, L., Nyberg. E., 2019.
Pruning Algorithms for Low-Dimensional Non-metric k-NN Search: A Case Study.
In Proceedings of the 12th International Conference on Similarity Search and Applications (SISAP 2019).
[BLOG] [PDF] [Software] [Slides]
The definitive version is available at www.springerlink.com
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Boytsov, L., Nyberg. E., 2019.
Accurate and Fast Retrieval for Complex Non-metric Data via Neighborhood Graphs.
In Proceedings of the 12th International Conference on Similarity Search and Applications (SISAP 2019).
[BLOG] [PDF] [Software] [Slides]
The definitive version is available at www.springerlink.com
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Boytsov, L., Novak, D., Malkov, Y., Nyberg, E., 2016.
Off the Beaten Path: Let’s Replace Term-Based Retrieval with k-NN Search
In Proceedings of CIKM 2016.
[BLOG & Talk] [PDF] [ Software: (1)(2) ] [Slides]
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Lemire, D., Boytsov, L., Kurz, N., 2016.
SIMD Compression and the Intersection of Sorted Integers.
Software: Practice and Experience.
[BLOG] [PDF] [ Software: (1)(2) ] The definitive version is available on the publisher's site
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Bilegsaikhan. N., Boytsov, L., Nyberg, E., 2015.
Permutation Search Methods are Efficient, Yet Faster Search is Possible.
In Proceedings of the VLDB Endowment.
[PDF] [Software] [Slides] [BLOG]
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Lemire, D., Boytsov, L., 2015. Decoding billions of integers per second through vectorization
Software: Practice and Experience.
[PDF] [Software] [Slides]
The definitive version is available on the publisher's site
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Tsvetkov, Y., Boytsov, L., Gershman, A., Nyberg, E., Dyer, C. 2014.
Metaphor Detection with Cross-Lingual Model Transfer.
In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL'2014).
[PDF]
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Ponomarenko, A., Avrelin, N., Bilegsaikhan. N., Boytsov, L., 2014.
Comparative Analysis of Data Structures for Approximate Nearest Neighbor Search.
In Proceedings of The Third International Conference on Data Analytics.
[PDF] [Software] [BLOG]
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Boytsov, L., Bilegsaikhan. N., 2013.
Learning to Prune in Metric and Non-Metric Spaces.
In Advances in Neural Information Processing Systems 2013.
[PDF] [Poster] [Supplemental] [Software]
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Boytsov, L., Bilegsaikhan. N., 2013.
Engineering Efficient and Effective Non-Metric Space Library.
In Proceedings of the 6th International Conference on Similarity Search and Applications (SISAP 2013).
[BLOG] [PDF] [Software] [Slides] [BLOG]
The definitive version is available at www.springerlink.com
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Boytsov, L., Belova, A., Westfall, P., 2013.
Deciding on an Adjustment for Multiplicity in IR Experiments.
In proceedings of SIGIR 2013.
[BLOG] [PDF] [Software] [Slides]
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Boytsov, L., 2012.
Super-linear Indices for Approximate Dictionary Searching. In Proceedings of the 5th
International Conference on Similarity Search and Applications (SISAP 2012).
[PDF] [Software] [Slides]
The definitive version is available at www.springerlink.com (in my version a couple of errors are fixed)
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Boytsov, L., 2011. Journal of Experimental Algorithmics (JEA).
Indexing methods for approximate dictionary searching: Comparative analysis
[PDF] [Software]
Technical reports:
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Boytsov, L., 2017.
A Simple Derivation of the Heap's Law from the Generalized Zipf's Law
[PDF]
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Boytsov, L., 2015.
Structured Retrieval using SOLR.
[PDF] [Software]
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Wang, D., Boytsov, L., Araki, J., Patel, A., Gee, J., Liu, Z., Nyberg, E., Mitamura, T., 2014.
CMU Multiple-choice Question Answering System at NTCIR-11 QA-Lab.
In Proceedings of the 11th NTCIR Conference.
[PDF]
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Boytsov, L., Belova, A., 2012.
Does Category A Anchor Text Improve Category B Results?
In TREC-21: Proceedings of the Nineteenth Text REtrieval Conference.
[PDF]
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Boytsov, L., Belova, A., 2011.
Evaluating Learning-to-Rank Methods in the Web
Track Adhoc Task.
In TREC-20: Proceedings of the Nineteenth Text REtrieval Conference.
[PDF]
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Boytsov, L., Belova, A., 2010.
Lessons Learned from Indexing Close Word Pairs.
In TREC-19: Proceedings of the Nineteenth Text REtrieval Conference.
[PDF]
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