Aleksandr Gashkov
Orcid: 0000-0001-6894-2094
According to our database1,
Aleksandr Gashkov authored at least 12 papers
between 2021 and 2026.
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Bibliography
2026
Proceedings of the International Conference on Semantic Computing, 2026
Proceedings of the Web Engineering - 26th International Conference, 2026
2025
SPARQL Query Candidate Filtering for Improving the Quality of Multilingual Question Answering over Knowledge Graphs using Language Models.
J. Web Eng., 2025
Instruction-Tuned Language Models as Judges for SPARQL Query Correctness in Knowledge Graph Question Answering.
Proceedings of the Joint Proceedings of the Fourth International Workshop on LLM-Integrated Knowledge Graph Generation From Text (TEXT2KG) and the Second International BiKE Challenge co-located with the Extended Semantic Web Conference (ESWC 2025), 2025
Towards Dynamically Generated KGQA Benchmark Datasets for Memorization-Resistant Evaluations.
Proceedings of the Knowledge Graphs and Semantic Web - 7th International Conference, 2025
SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection.
Proceedings of the Web Engineering - 25th International Conference, 2025
2024
Understanding SPARQL Queries: Are We Already There? Multilingual Natural Language Generation Based on SPARQL Queries and Large Language Models.
Proceedings of the Semantic Web - ISWC 2024, 2024
Language Models as SPARQL Query Filtering for Improving the Quality of Multilingual Question Answering over Knowledge Graphs.
Proceedings of the Web Engineering - 24th International Conference, 2024
Proceedings of the Semantic Web: ESWC 2024 Satellite Events, 2024
2022
Towards Knowledge Graph-Agnostic SPARQL Query Validation for Improving Question Answering.
Proceedings of the Semantic Web: ESWC 2022 Satellite Events - Hersonissos, Crete, Greece, May 29, 2022
Improving Question Answering Quality Through Language Feature-Based SPARQL Query Candidate Validation.
Proceedings of the Semantic Web - 19th International Conference, 2022
2021
Improving the Question Answering Quality using Answer Candidate Filtering based on Natural-Language Features.
Proceedings of the 16th International Conference on Intelligent Systems and Knowledge Engineering, 2021