Aleksandra Piktus
Aleksandra Piktus
Facebook AI
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Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
P Lewis, E Perez, A Piktus, F Petroni, V Karpukhin, N Goyal, H Küttler, ...
arXiv preprint arXiv:2005.11401, 2020
Kilt: a benchmark for knowledge intensive language tasks
F Petroni, A Piktus, A Fan, P Lewis, M Yazdani, N De Cao, J Thorne, ...
arXiv preprint arXiv:2009.02252, 2020
How Context Affects Language Models' Factual Predictions
F Petroni, P Lewis, A Piktus, T Rocktäschel, Y Wu, AH Miller, S Riedel
arXiv preprint arXiv:2005.04611, 2020
Misspelling Oblivious Word Embeddings
B Edizel, A Piktus, P Bojanowski, R Ferreira, E Grave, F Silvestri
arXiv preprint arXiv:1905.09755, 2019
How Decoding Strategies Affect the Verifiability of Generated Text
L Massarelli, F Petroni, A Piktus, M Ott, T Rocktäschel, V Plachouras, ...
arXiv preprint arXiv:1911.03587, 2019
PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them
P Lewis, Y Wu, L Liu, P Minervini, H Küttler, A Piktus, P Stenetorp, ...
arXiv preprint arXiv:2102.07033, 2021
Generating Fact Checking Briefs
A Fan, A Piktus, F Petroni, G Wenzek, M Saeidi, A Vlachos, A Bordes, ...
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
Node Masking: Making Graph Neural Networks Generalize and Scale Better
P Mishra, A Piktus, G Goossen, F Silvestri
arXiv preprint arXiv:2001.07524, 2020
Domain-matched Pre-training Tasks for Dense Retrieval
B Oðuz, K Lakhotia, A Gupta, P Lewis, V Karpukhin, A Piktus, X Chen, ...
arXiv preprint arXiv:2107.13602, 2021
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