Predicting Wikipedia Infobox Type Information using Word Embeddings on Categories. - Russa Biswas; Maria Koutraki; Harald Sack (EKAW (Posters & Demos), 2018)

Exploiting Equivalence to Infer Type Subsumption in Linked Graphs. - Russa Biswas; Maria Koutraki; Harald Sack (ESWC (Satellite Events), 2018)

Wikipedia Infobox Type Prediction Using Embeddings. - Russa Biswas; Rima Türker; Farshad Bakhshandegan Moghaddam; Maria Koutraki; Harald Sack (DL4KGS@ESWC, 2018)

A Comprehensive Survey of Knowledge Graph Embeddings with Literals: Techniques and Applications. - Genet Asefa Gesese; Russa Biswas; Harald Sack (DL4KG@ESWC, 2019)

HistorEx: Exploring Historical Text Corpora Using Word and Document Embeddings. - Sven Müller; Michael Brunzel; Daniela Kaun; Russa Biswas; Maria Koutraki; Tabea Tietz; Harald Sack (ESWC (Satellite Events), 2019)

Linked Open Data Validity - A Technical Report from ISWS 2018. - Tayeb Abderrahmani Ghor; Esha Agrawal; Mehwish Alam; Omar Alqawasmeh; Claudia d'Amato; Amina Annane; Amr Azzam; Andrew Berezovskyi; Russa Biswas; Mathias Bonduel; Quentin Brabant; Cristina-Iulia Bucur; et al. (CoRR, 2019)

Embedding based Link Prediction for Knowledge Graph Completion. - Russa Biswas (CIKM, 2020)

Entity Type Prediction in Knowledge Graphs using Embeddings. - Russa Biswas; Radina Sofronova; Mehwish Alam; Harald Sack (DL4KG@ESWC, 2020)

Entity Typing Based on RDF2Vec Using Supervised and Unsupervised Methods. - Radina Sofronova; Russa Biswas; Mehwish Alam; Harald Sack (ESWC (Satellite Events), 2020)

Is Aligning Embedding Spaces a Challenging Task? An Analysis of the Existing Methods. - Russa Biswas; Mehwish Alam; Harald Sack (CoRR, 2020)

Knowledge Graphs Evolution and Preservation - A Technical Report from ISWS 2019. - Nacira Abbas; Kholoud Alghamdi; Mortaza Alinam; Francesca Alloatti; Glenda C. M. Amaral; Claudia d'Amato; Luigi Asprino; Martin Beno; Felix Bensmann; Russa Biswas; Ling Cai; Riley Capshaw; et al. (CoRR, 2020)

Do Judge an Entity by Its Name! Entity Typing Using Language Models. - Russa Biswas; Radina Sofronova; Mehwish Alam; Nicolas Heist; Heiko Paulheim; Harald Sack (ESWC (Satellite Events), 2021)

Cat2Type: Wikipedia Category Embeddings for Entity Typing in Knowledge Graphs. - Russa Biswas; Radina Sofronova; Harald Sack; Mehwish Alam (K-CAP, 2021)

Contextual Language Models for Knowledge Graph Completion. - Russa Biswas; Radina Sofronova; Mehwish Alam; Harald Sack (MLSMKG@PKDD/ECML, 2021)

HierClasSArt: Knowledge-Aware Hierarchical Classification of Scholarly Articles. - Mehwish Alam; Russa Biswas; Yiyi Chen 002; Danilo Dessì; Genet Asefa Gesese; Fabian Hoppe 001; Harald Sack (WWW (Companion Volume), 2021)

A survey on knowledge graph embeddings with literals: Which model links better literal-ly? - Genet Asefa Gesese; Russa Biswas; Mehwish Alam; Harald Sack (Semantic Web, 2021)

It's All in the Name: Entity Typing Using Multilingual Language Models. - Russa Biswas; Yiyi Chen 002; Heiko Paulheim; Harald Sack; Mehwish Alam (ESWC (Satellite Events), 2022)

Entity Type Prediction Leveraging Graph Walks and Entity Descriptions. - Russa Biswas; Jan Portisch; Heiko Paulheim; Harald Sack; Mehwish Alam (ISWC, 2022)

Colex2Lang: Language Embeddings from Semantic Typology. - Yiyi Chen 002; Russa Biswas; Johannes Bjerva (NoDaLiDa, 2023)

Knowledge Graph Embeddings: Open Challenges and Opportunities. - Russa Biswas; Lucie-Aimée Kaffee; Michael Cochez; Stefania Dumbrava; Theis E. Jendal; Matteo Lissandrini; Vanessa López; Eneldo Loza Mencía; Heiko Paulheim; Harald Sack; Edlira Vakaj; Gerard de Melo (TGDK, 2023)

Multilingual Knowledge Graphs and Low-Resource Languages: A Review. - Lucie-Aimée Kaffee; Russa Biswas; C. Maria Keet; Edlira Vakaj; Gerard de Melo (TGDK, 2023)

Large Language Models and Knowledge Graphs: Opportunities and Challenges. - Jeff Z. Pan; Simon Razniewski; Jan-Christoph Kalo; Sneha Singhania; Jiaoyan Chen 001; Stefan Dietze; Hajira Jabeen; Janna Omeliyanenko; Wen Zhang 015; Matteo Lissandrini; Russa Biswas; Gerard de Melo; et al. (TGDK, 2023)

Embedding Based Link Prediction for Knowledge Graph Completion. - Russa Biswas (2023)

LLMs Cannot (Yet) Match the Specificity and Simplicity of Online Communities in Long Form Question Answering. - Kris-Fillip Kahl; Tolga Buz; Russa Biswas; Gerard de Melo (EMNLP (Findings), 2024)

MADLINK: Attentive multihop and entity descriptions for link prediction in knowledge graphs. - Russa Biswas; Harald Sack; Mehwish Alam (Semantic Web, 2024)

Against All Odds: Overcoming Typology, Script, and Language Confusion in Multilingual Embedding Inversion Attacks. - Yiyi Chen 002; Russa Biswas; Heather C. Lent; Johannes Bjerva (AAAI, 2025)

Large Language Models are Easily Confused: A Quantitative Metric, Security Implications and Typological Analysis. - Yiyi Chen 002; Qiongxiu Li; Russa Biswas; Johannes Bjerva (NAACL (Findings), 2025)

Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective. - Ernests Lavrinovics; Russa Biswas; Johannes Bjerva; Katja Hose (J. Web Semant., 2025)

Scaling Reasoning can Improve Factuality in Large Language Models. - Mike Zhang; Johannes Bjerva; Russa Biswas (CoRR, 2025)

MultiHal: Multilingual Dataset for Knowledge-Graph Grounded Evaluation of LLM Hallucinations. - Ernests Lavrinovics; Russa Biswas; Katja Hose; Johannes Bjerva (CoRR, 2025)

InFact: Informativeness Alignment for Improved LLM Factuality. - Roi Cohen; Russa Biswas; Gerard de Melo (CoRR, 2025)