Papers by Ivan Korotkov

2 papers
Zero-shot Neural Passage Retrieval via Domain-targeted Synthetic Question Generation (2021.eacl-main)

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Challenge: Recent advances in neural retrieval have led to advancements on document, passage and knowledge-base benchmarks.
Approach: They propose an approach to zero-shot learning for passage retrieval that uses synthetic question generation to close this gap.
Outcome: The proposed approach can exceed term-based techniques on document retrieval benchmarks by using domain-targeted synthetic question generation.
OpenMSD: Towards Multilingual Scientific Documents Similarity Measurement (2024.lrec-main)

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Challenge: Existing methods for finding related papers in different languages are not effective for multilingual SDSM.
Approach: They propose to use Open-access Multilingual Scientific Documents to develop multilingual SDSM models that adjust and extend state-of-the-art methods for English SDSM tasks.
Outcome: The proposed model outperforms baseline methods on multilingual SDSM tasks while preserving the performance of the existing methods.

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