| Retrieval-augmented generation for knowledge-intensive nlp tasks P Lewis, E Perez, A Piktus, F Petroni, V Karpukhin, N Goyal, H Küttler, ... Advances in Neural Information Processing Systems 33, 9459-9474, 2020 | 1116 | 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 | 311 | 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 | 153 | 2020 |
| 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, ... Transactions of the Association for Computational Linguistics 9, 1098-1115, 2021 | 152 | 2021 |
| Misspelling Oblivious Word Embeddings B Edizel, A Piktus, P Bojanowski, R Ferreira, E Grave, F Silvestri arXiv preprint arXiv:1905.09755, 2019 | 74 | 2019 |
| Domain-matched Pre-training Tasks for Dense Retrieval B Oğuz, K Lakhotia, A Gupta, P Lewis, V Karpukhin, A Piktus, X Chen, ... arXiv preprint arXiv:2107.13602, 2021 | 47 | 2021 |
| 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 | 47 | 2019 |
| 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 | 43 | 2020 |
| The Web Is Your Oyster--Knowledge-Intensive NLP against a Very Large Web Corpus A Piktus, F Petroni, V Karpukhin, D Okhonko, S Broscheit, G Izacard, ... arXiv preprint arXiv:2112.09924, 2021 | 28 | 2021 |
| Scaling Data-Constrained Language Models N Muennighoff, AM Rush, B Barak, TL Scao, A Piktus, N Tazi, S Pyysalo, ... arXiv preprint arXiv:2305.16264, 2023 | 18 | 2023 |
| Node Masking: Making Graph Neural Networks Generalize and Scale Better P Mishra, A Piktus, G Goossen, F Silvestri arXiv preprint arXiv:2001.07524, 2020 | 13 | 2020 |
| Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurement L von Werra, L Tunstall, A Thakur, AS Luccioni, T Thrush, A Piktus, ... arXiv preprint arXiv:2210.01970, 2022 | 12 | 2022 |
| The ROOTS Search Tool: Data Transparency for LLMs A Piktus, C Akiki, P Villegas, H Laurençon, G Dupont, AS Luccioni, ... arXiv preprint arXiv:2302.14035, 2023 | 11 | 2023 |
| Improving wikipedia verifiability with ai F Petroni, S Broscheit, A Piktus, P Lewis, G Izacard, L Hosseini, ... Nature Machine Intelligence 5 (10), 1142-1148, 2023 | 9 | 2023 |
| Spacerini: Plug-and-play Search Engines with Pyserini and Hugging Face C Akiki, O Ogundepo, A Piktus, X Zhang, A Oladipo, J Lin, M Potthast arXiv preprint arXiv:2302.14534, 2023 | 3 | 2023 |
| GAIA Search: Hugging Face and Pyserini Interoperability for NLP Training Data Exploration A Piktus, O Ogundepo, C Akiki, A Oladipo, X Zhang, H Schoelkopf, ... arXiv preprint arXiv:2306.01481, 2023 | 2 | 2023 |
| FinGPT: Large Generative Models for a Small Language R Luukkonen, V Komulainen, J Luoma, A Eskelinen, J Kanerva, ... arXiv preprint arXiv:2311.05640, 2023 | | 2023 |
Sebastian RiedelHonorary Professor @ University College London, Researcher @ DeepMindVerified email at cs.ucl.ac.uk
