| 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 | 6204 | 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 | 534 | 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 | 249 | 2020 |
| Scaling data-constrained language models N Muennighoff, A Rush, B Barak, T Le Scao, N Tazi, A Piktus, S Pyysalo, ... Advances in Neural Information Processing Systems 36, 50358-50376, 2023 | 241 | 2023 |
| 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 | 215 | 2021 |
| Misspelling Oblivious Word Embeddings B Edizel, A Piktus, P Bojanowski, R Ferreira, E Grave, F Silvestri arXiv preprint arXiv:1905.09755, 2019 | 91 | 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 | 62 | 2020 |
| 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 | 61 | 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 | 60 | 2021 |
| 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 | 53 | 2021 |
| FinGPT: Large Generative Models for a Small Language R Luukkonen, V Komulainen, J Luoma, A Eskelinen, J Kanerva, ... arXiv preprint arXiv:2311.05640, 2023 | 36 | 2023 |
| 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 | 33 | 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 | 27 | 2023 |
| Evaluate & evaluation on the hub: Better best practices for data and model measurements L Von Werra, L Tunstall, A Thakur, S Luccioni, T Thrush, A Piktus, F Marty, ... Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 24 | 2022 |
| Node Masking: Making Graph Neural Networks Generalize and Scale Better P Mishra, A Piktus, G Goossen, F Silvestri arXiv preprint arXiv:2001.07524, 2020 | 20 | 2020 |
| Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models P Verga, S Hofstatter, S Althammer, Y Su, A Piktus, A Arkhangorodsky, ... arXiv preprint arXiv:2404.18796, 2024 | 15 | 2024 |
| 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 | 8 | 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 | 8 | 2023 |
| Aya Expanse: Combining Research Breakthroughs for a New Multilingual Frontier J Dang, S Singh, D D'souza, A Ahmadian, A Salamanca, M Smith, ... arXiv preprint arXiv:2412.04261, 2024 | 4 | 2024 |
Sebastian RiedelHonorary Professor @ University College London, Researcher @ DeepMindВерификована је имејл адреса на cs.ucl.ac.uk
