Piktus, Aleksandra

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Lewis, P., Perez, E., Piktus, A., Petroni, F., Karpukhin, V., Goyal, N., Küttler, H., Lewis, M., Yih, W.-T., Rocktäschel, T., et al. (2020) · arXiv

Safety Systems Engineering in AutonomyEthics and Social Impacts of AI

Cited by 3,101

KILT: a Benchmark for Knowledge Intensive Language Tasks

Petroni, F., Piktus, A., Fan, A., Lewis, P., Yazdani, M., De Cao, N., Thorne, J., Jernite, Y., Karpukhin, V., Maillard, J., et al. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Topic ModelingNatural Language Processing Techniques

Cited by 357

How Context Affects Language Models' Factual Predictions

Petroni, F., Lewis, P., Piktus, A., Rocktäschel, T., Wu, Y., Miller, A. H., & Riedel, S. (2020) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 154

Scaling Data-Constrained Language Models

Muennighoff, N., Rush, A. M., Barak, B., Scao, T. L., Piktus, A., Tazi, N., Pyysalo, S., Wolf, T., & Raffel, C. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 49

Scaling Data-Constrained Language Models

Muennighoff, N., Rush, A., Barak, B., Scao, T. L., Tazi, N., Piktus, A., Pyysalo, S., Wolf, T., & Raffel, C. (2023) · Advances in Neural Information Processing Systems 36

Topic ModelingNatural Language Processing Techniques

Cited by 47

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

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

Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models

Verga, P., Hofstatter, S., Althammer, S., Su, Y., Piktus, A., Arkhangorodsky, A., Xu, M., White, N., & Lewis, P. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 16

Node Masking: Making Graph Neural Networks Generalize and Scale Better

Mishra, P., Piktus, A., Goossen, G., & Silvestri, F. (2020) · arXiv

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 8