Riedel, Sebastian

Task-aware Retrieval with Instructions

Asai, A., Schick, T., Lewis, P., Chen, X., Izacard, G., Riedel, S., Hajishirzi, H., & Yih, W.-T. (2023) · Findings of the Association for Computational Linguistics: ACL 2023

Information Retrieval and Search BehaviorTopic Modeling

Cited by 46

Generating fact checking briefs

Fan, A., Piktus, A., Petroni, F., Wenzek, G., Saeidi, M., Vlachos, A., Bordes, A., & Riedel, S. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Misinformation and Its ImpactsTopic Modeling

Cited by 42

Knowledge Graph Completion via Complex Tensor Factorization

Trouillon, T., Dance, C. R., Welbl, J., Riedel, S., Gaussier, É., & Bouchard, G. (2017) · arXiv

Advanced Graph Neural NetworksRecommender Systems and Techniques

Cited by 41

Convolutional 2D Knowledge Graph Embeddings

Dettmers, T., Minervini, P., Stenetorp, P., & Riedel, S. (2017) · arXiv

Advanced Graph Neural NetworksTopic Modeling

Cited by 30

The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus

Piktus, A., Petroni, F., Karpukhin, V., Okhonko, D., Broscheit, S., Izacard, G., Lewis, P., Oğuz, B., Grave, E., Yih, W.-T., et al. (2021) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 22

Improving Language Plasticity via Pretraining with Active Forgetting

Chen, Y., Marchisio, K., Raileanu, R., Adelani, D., Stenetorp, P. L. E. S., Riedel, S., & Artetxe, M. (2023) · Advances in Neural Information Processing Systems 36

Domain Adaptation and Few-Shot LearningNatural Language Processing Techniques

Cited by 3

Do Large Language Models Latently Perform Multi-Hop Reasoning?

Yang, S., Gribovskaya, E., Kassner, N., Geva, M., & Riedel, S. (2024) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 0