Researcher Portfolio

 
   

Prof. Dr.-Ing. Weikum, Gerhard

Databases and Information Systems, MPI for Informatics, Max Planck Society  

 

Researcher Profile

 
Position: Databases and Information Systems, MPI for Informatics, Max Planck Society
Researcher ID: https://pure.mpg.de/cone/persons/resource/persons45720

External references

 
WorldCat Search for Weikum, Gerhard
Google Scholar Search for Weikum, Gerhard

Publications

 
  (1 - 25 of 641)
 : Hogan, A., Dong, X. L., Vrandečić, D., & Weikum, G. (2025). Large Language Models, Knowledge Graphs and Search Engines: A Crossroads for Answering Users' Questions. Retrieved from https://arxiv.org/abs/2501.06699. [PubMan] : Torbati, G. H., Tigunova, A., Weikum, G., & Yates, A. (2024). Recommendations in Sparse-Data Low-Resource Settings by Constructing Concise User Profiles from Review Text. In 3rd International Workshop on Industrial Recommendation Systems (at CIKM 2024). New York, NY: ACM. [PubMan] : Jia, Z., Christmann, P., & Weikum, G. (2024). Faithful Temporal Question Answering over Heterogeneous Sources. In T.-S. Chua, C.-W. Ngo, R.-K.-W. Lee, R. Kumar, & H. W. Lauw (Eds.), The ACM Web Conference 2024 (pp. 2052-2063). New York, NY: ACM. doi:10.1145/3589334.3645547. [PubMan] : Ghosh, S., Razniewski, S., Graux, D., & Weikum, G. (2024). CardiO: Predicting Cardinality from Online Sources. In T.-S. Chua, C.-W. Ngo, R.-K.-W. Lee, R. Kumar, & H. Lauw (Eds.), The ACM Web Conference 2024 (pp. 573-576). New York, NY: ACM. doi:10.1145/3589335.365147. [PubMan] : Kaiser, M., Saha Roy, R., & Weikum, G. (2024). Robust Training for Conversational Question Answering Models with Reinforced Reformulation Generation. In L. Angélica, S. Lattanzi, A. Muñoz Medina, L. Akoglu, A. Gionis, & S. Vassilvitskii (Eds.), WSDM '24 (pp. 322-331). New York, NY: ACM. doi:10.1145/3616855.3635822. [PubMan] : Jia, Z., Christmann, P., & Weikum, G. (2024). TIQ: A Benchmark for Temporal Question Answering with Implicit Time Constraints. In T.-S. Chua, C.-W. Ngo, R.-K.-W. Lee, R. Kumar, & H. W. Lauw (Eds.), The ACM Web Conference 2024 (pp. 1394-1399). New York, NY: ACM. doi:10.1145/3589335.3651895. [PubMan] : Christmann, P., & Weikum, G. (2024). RAG-based Question Answering over Heterogeneous Data and Text. Retrieved from https://arxiv.org/abs/2412.07420. [PubMan] : Tran, H. D., Yates, A., & Weikum, G. (2024). Conversational Search with Tail Entities. In N. Goharian, N. Tonellotto, Y. He, A. Lipani, G. McDonald, C. Macdonald, & I. Ounis (Eds.), Advances in Information Retrieval (pp. 303-317). Berlin: Springer. [PubMan] : Christmann, P., Saha Roy, R., & Weikum, G. (2024). CompMix: A Benchmark for Heterogeneous Question Answering. In C.-W. Ngo, R.-K.-W. Lee, R. Kumar, & H. Lauw (Eds.), The ACM Web Conference 2024 (pp. 1091-1094). New York, NY: ACM. doi:10.1145/3589335.3651444. [PubMan] : Pramanik, S., Alabi, J., Saha Roy, R., & Weikum, G. (2024). UNIQORN: Unified Question Answering over RDF Knowledge Graphs and Natural Language Text. Journal of Web Semantics, 83: 100833. doi:10.1016/j.websem.2024.100833. [PubMan] : Pal, K., Arnaout, H., Razniewski, S., & Weikum, G. (2024). FASETS: Discovering Faceted Sets of Entities. In T.-S. Chua, C.-W. Ngo, R.-K.-W. Lee, R. Kumar, & H. W. Lauw (Eds.), The ACM Web Conference 2024 (pp. 1521-1529). New York, NY: ACM. doi:10.1145/3589335.3651924. [PubMan] : Torbati, G. H., Tigunova, A., & Weikum, G. (2024). SIRUP: Search-based Book Recommendation Playground. In L. Angélica Caudillo Mata, S. Lattanzi, A. Muñoz Medina, L. Akoglu, A. Gionis, & S. Vassilvitskii (Eds.), WSDM '24 (pp. 1062-1065). New York, NY: ACM. [PubMan] : Nguyen, T.-P., Razniewski, S., & Weikum, G. (2024). Cultural Commonsense Knowledge for Intercultural Dialogues. In E. Serra, & F. Spezzano (Eds.), CIKM '24 (pp. 1774-1784). New York, NY: ACM. doi:10.1145/3627673.3679768. [PubMan] : Singhania, S., Razniewski, S., & Weikum, G. (2024). Recall Them All: Retrieval-Augmented Language Models for Long Object List Extraction from Long Documents. [PubMan] : Tigunova, A., Torbati, G. H., Yates, A., & Weikum, G. (2024). STAR: Sparse Text Approach for Recommendation. In E. Serra, & F. Spezzano (Eds.), CIKM '24 (pp. 4086-4090). New York, NY: ACM. doi:10.1145/3627673.3679999. [PubMan] : Veseli, B., Razniewski, S., Kalo, J.-C., & Weikum, G. (2023). Evaluating the Knowledge Base Completion Potential of GPT. Findings of EMNLP 2023. Retrieved from https://arxiv.org/abs/2310.14771. [PubMan] : Torbati, G. H., Tigunova, A., Yates, A., & Weikum, G. (2023). Recommendations by Concise User Profiles from Review Text. Retrieved from https://arxiv.org/abs/2311.01314. [PubMan] : Dong, X. L., Li, B., Stoyanovich, J., Tung, A. K. H., Weikum, G., Halevy, A., & Tan, W.-C. (2023). Personal Data for Personal Use: Vision or Reality? In S. Das, I. Pandis, K. S. Candan, & S. Amer-Yahia (Eds.), SIGMOD '23 Companion (pp. 263-264). New York, NY: ACM. doi:10.1145/3555041.3589378. [PubMan] : Veseli, B., Singhania, S., Razniewski, S., & Weikum, G. (2023). Evaluating Language Models for Knowledge Base Completion. In C. Pesquita, E. Jimenez-Ruiz, J. McCusker, D. Faria, A. Dimou, R. Troncy, & S. Hertling (Eds.), The Semantic Web (pp. 227-243). Berlin: Springer. doi:10.1007/978-3-031-33455-9_14. [PubMan] : Nguyen, T.-P., Razniewski, S., Varde, A., & Weikum, G. (2023). Extracting Cultural Commonsense Knowledge at Scale. In Y. Ding, J. Tang, J. Sequeda, L. Aroyo, C. Castillo, & G.-J. Houben (Eds.), The ACM Web Conference 2023 (pp. 1907-1917). New York, NY: ACM. doi:10.1145/3543507.3583535. [PubMan] : Nguyen, T.-P., Razniewski, S., Romero, J., & Weikum, G. (2023). Refined Commonsense Knowledge from Large-Scale Web Contents. IEEE Transactions on Knowledge and Data Engineering, 35(8), 8431-8447. doi:10.1109/TKDE.2022.3206505. [PubMan] : Ghosh, S., Razniewski, S., & Weikum, G. (2023). Answering Count Questions with Structured Answers from Text. Journal of Web Semantics, 76: 100769. doi:10.1016/j.websem.2022.100769. [PubMan] : Torbati, G. H., Weikum, G., & Yates, A. (2023). Search-based Recommendation: The Case for Difficult Predictions. In Y. Ding, J. Tang, J. Sequeda, L. Aroyo, C. Castillo, & G.-J. Houben (Eds.), The ACM Web Conference 2023 (pp. 318-321). New York, NY: ACM. doi:10.1145/3543873.3587374. [PubMan] : Ghosh, S., Razniewski, S., & Weikum, G. (2023). CoQEx: Entity Counts Explained. In T.-S. Chua, H. Lauw, L. Si, E. Terzi, & P. Tsaparas (Eds.), WSDM '23 (pp. 1168-1171). New York, NY: ACM. doi:10.1145/3539597.3573021. [PubMan] : Veseli, B., Singhania, S., Razniewski, S., & Weikum, G. (2023). Evaluating Language Models for Knowledge Base Completion. Retrieved from https://arxiv.org/abs/2303.11082. [PubMan]