@inproceedings{63027, author = {{Ihtassine, Reda and Firmansyah, Asep Fajar and Srivastava, Nikit and Manzoor, Ali and Ngonga Ngomo, Axel-Cyrille and Sherif, Mohamed Ahmed}}, booktitle = {{Proceedings of the Knowledge Capture Conference 2025}}, publisher = {{ACM}}, title = {{{NL2LS: LLM-based Automatic Linking of Knowledge Graphs}}}, doi = {{10.1145/3731443.3771374}}, year = {{2025}}, } @inproceedings{57324, abstract = {{Generating SPARQL queries is crucial for extracting relevant information from diverse knowledge graphs. However, the structural and semantic differences among these graphs necessitate training or fine-tuning a tailored model for each one. In this paper, we propose UniQ-Gen, a unified query generation approach to generate SPARQL queries across various knowledge graphs. UniQ-Gen integrates entity recognition, disambiguation, and linking through a BERT-NER model and employs cross-encoder ranking to align questions with the Freebase ontology. We conducted several experiments on different benchmark datasets such as LC-QuAD 2.0, GrailQA, and QALD-10. The evaluation results demonstrate that our approach achieves performance equivalent to or better than models fine-tuned for individual knowledge graphs. This finding suggests that fine-tuning a unified model on a heterogeneous dataset of SPARQL queries across different knowledge graphs eliminates the need for separate models for each graph, thereby reducing resource requirements.}}, author = {{Vollmers, Daniel and Srivastava, Nikit and Zahera, Hamada Mohamed Abdelsamee and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}}, booktitle = {{Knowledge Engineering and Knowledge Management}}, editor = {{Alam, Mehwish and Rospocher, Marco and van Erp, Marieke and Hollink, Laura and Gesese, Genet Asefa}}, isbn = {{978-3-031-77792-9}}, pages = {{174–189}}, publisher = {{Springer Nature Switzerland}}, title = {{{UniQ-Gen: Unified Query Generation Across Multiple Knowledge Graphs}}}, doi = {{https://doi.org/10.1007/978-3-031-77792-9_11}}, year = {{2025}}, } @inproceedings{62119, author = {{Ihtassine, Reda and Firmansyah, Asep Fajar and Srivastava, Nikit and Ali, Manzoor and Ngonga Ngomo, Axel-Cyrille and Sherif, Mohamed}}, booktitle = {{Proceedings of the 12th Knowledge Capture Conference 2025, {K-CAP} 2025, The Thirteenth International Conference on Knowledge Capture, December 10 - 12, 2025, Dayton, Ohio, USA}}, keywords = {{Srivastava ali dice enexa firmansyah ihtassine ngonga sailproject sherif whale}}, publisher = {{ACM}}, title = {{{NL2LS: LLM-based Automatic Linking of Knowledge Graphs}}}, year = {{2025}}, } @inproceedings{61753, abstract = {{This paper presents LOLA, a massively multilingual large language model trained on more than 160 languages using a sparse Mixture-of-Experts Transformer architecture. Our architectural and implementation choices address the challenge of harnessing linguistic diversity while maintaining efficiency and avoiding the common pitfalls of multilinguality. Our analysis of the evaluation results shows competitive performance in natural language generation and understanding tasks. Additionally, we demonstrate how the learned expert-routing mechanism exploits implicit phylogenetic linguistic patterns to potentially alleviate the curse of multilinguality. We provide an in-depth look at the training process, an analysis of the datasets, and a balanced exploration of the model{’}s strengths and limitations. As an open-source model, LOLA promotes reproducibility and serves as a robust foundation for future research. Our findings enable the development of compute-efficient multilingual models with strong, scalable performance across languages.}}, author = {{Srivastava, Nikit and Kuchelev, Denis and Moteu Ngoli, Tatiana and Shetty, Kshitij and Röder, Michael and Zahera, Hamada Mohamed Abdelsamee and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}}, booktitle = {{Proceedings of the 31st International Conference on Computational Linguistics}}, editor = {{Rambow, Owen and Wanner, Leo and Apidianaki, Marianna and Al-Khalifa, Hend and Eugenio, Barbara Di and Schockaert, Steven}}, pages = {{6420–6446}}, publisher = {{Association for Computational Linguistics}}, title = {{{LOLA – An Open-Source Massively Multilingual Large Language Model}}}, year = {{2025}}, } @inproceedings{63574, author = {{Zhang, Quannian and Röder, Michael and Srivastava, Nikit and KOUAGOU, N'Dah Jean and Ngonga Ngomo, Axel-Cyrille}}, booktitle = {{Proceedings of the Knowledge Capture Conference 2025}}, publisher = {{ACM}}, title = {{{Explainable Benchmarking through the Lense of Concept Learning}}}, doi = {{10.1145/3731443.3771359}}, year = {{2025}}, } @unpublished{57277, author = {{Srivastava, Nikit and Ma, Mengshi and Vollmers, Daniel and Zahera, Hamada Mohamed Abdelsamee and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}}, title = {{{MST5 -- Multilingual Question Answering over Knowledge Graphs}}}, year = {{2024}}, } @inproceedings{57278, author = {{Morim da Silva, Ana Alexandra and Srivastava, Nikit and Moteu Ngoli, Tatiana and Röder, Michael and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}}, booktitle = {{Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)}}, publisher = {{Association for Computational Linguistics}}, title = {{{Benchmarking Low-Resource Machine Translation Systems}}}, doi = {{10.18653/v1/2024.loresmt-1.18}}, year = {{2024}}, } @inproceedings{57274, author = {{Srivastava, Nikit and Perevalov, Aleksandr and Kuchelev, Denis and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille and Both, Andreas}}, booktitle = {{Proceedings of the 12th Knowledge Capture Conference 2023}}, publisher = {{ACM}}, title = {{{Lingua Franca – Entity-Aware Machine Translation Approach for Question Answering over Knowledge Graphs}}}, doi = {{10.1145/3587259.3627567}}, year = {{2023}}, } @inproceedings{57285, author = {{Mireles, Victor and Revenko, Artem and Srivastava, Nikit and Vollmers, Daniel and Breit, Anna and Moussallem, Diego}}, booktitle = {{Proceedings of Poster and Demo Track and Workshop Track of the 18th International Conference on Semantic Systems, co-located with 18th International Conference on Semantic Systems (SEMANTiCS 2022)}}, keywords = {{dice moussallem porque srivastava vollmers}}, title = {{{Proposal for PORQUE, a Polylingual Hybrid Question Answering System}}}, year = {{2022}}, } @inproceedings{57287, author = {{Syed, Zafar Habeeb and Srivastava, Nikit and Röder, Michael and Ngonga Ngomo, Axel-Cyrille}}, booktitle = {{Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, Industry, and Outrageous Ideas)}}, editor = {{Suárez-Figueroa, Mari Carmen and Cheng, Gong and Gentile, Anna Lisa and Guéret, Christophe and Keet, Maria and Bernstein, Abraham}}, keywords = {{dice group_aksw ngonga roeder srivastava syed}}, pages = {{201–204}}, publisher = {{Springer International Publishing}}, title = {{{COPAAL – An Interface for Explaining Facts using Corroborative Paths}}}, volume = {{2456}}, year = {{2019}}, } @inbook{57286, author = {{Jalota, Rricha and Srivastava, Nikit and Vollmers, Daniel and Speck, René and Röder, Michael and Usbeck, Ricardo and Ngonga Ngomo, Axel-Cyrille}}, booktitle = {{Rich Search and Discovery for Research Datasets}}, keywords = {{dice jalota ngonga roeder speck srivastava vollmers}}, publisher = {{SAGE Publications}}, title = {{{Finding Datasets in Publications: The University of Paderborn Approach}}}, year = {{2019}}, } @inproceedings{57288, author = {{Speck, René and Röder, Michael and Conrads, Felix and Rebba, Hyndavi and Romiyo, Catherine Camilla and Salakki, Gurudevi and Suryawanshi, Rutuja and Ahmed, Danish and Srivastava, Nikit and Mahajan, Mohit and Ngonga Ngomo, Axel-Cyrille}}, booktitle = {{Semantic Web Evaluation Challenge}}, keywords = {{2018 ahmed conrads dice fox group_aksw mahajan ngonga projecthobbit rebba roeder romiyo salakki simba speck srivastava suryawanshi}}, pages = {{39–51}}, publisher = {{Springer International Publishing}}, title = {{{Open Knowledge Extraction Challenge 2018}}}, year = {{2018}}, }