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2020 – today
- 2024
[i18]Pat Verga, Sebastian Hofstätter, Sophia Althammer, Yixuan Su, Aleksandra Piktus, Arkady Arkhangorodsky, Minjie Xu, Naomi White, Patrick Lewis:
Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models. CoRR abs/2404.18796 (2024)- 2023
- [j2]Fabio Petroni
, Samuel Broscheit, Aleksandra Piktus, Patrick S. H. Lewis, Gautier Izacard, Lucas Hosseini, Jane Dwivedi-Yu, Maria Lomeli, Timo Schick, Michele Bevilacqua, Pierre-Emmanuel Mazaré, Armand Joulin, Edouard Grave, Sebastian Riedel:
Improving Wikipedia verifiability with AI. Nat. Mac. Intell. 5(10): 1142-1148 (2023) - [c13]Aleksandra Piktus, Christopher Akiki, Paulo Villegas, Hugo Laurençon, Gérard Dupont, Sasha Luccioni, Yacine Jernite, Anna Rogers:
The ROOTS Search Tool: Data Transparency for LLMs. ACL (demo) 2023: 304-314 - [c12]Aleksandra Piktus, Odunayo Ogundepo, Christopher Akiki, Akintunde Oladipo, Xinyu Zhang, Hailey Schoelkopf, Stella Biderman, Martin Potthast, Jimmy Lin:
GAIA Search: Hugging Face and Pyserini Interoperability for NLP Training Data Exploration. ACL (demo) 2023: 588-598 - [c11]Christopher Akiki, Odunayo Ogundepo, Aleksandra Piktus, Xinyu Zhang, Akintunde Oladipo, Jimmy Lin, Martin Potthast:
Spacerini: Plug-and-play Search Engines with Pyserini and Hugging Face. EMNLP (Demos) 2023: 140-148 - [c10]Risto Luukkonen, Ville Komulainen, Jouni Luoma, Anni Eskelinen, Jenna Kanerva, Hanna-Mari Kupari, Filip Ginter, Veronika Laippala, Niklas Muennighoff, Aleksandra Piktus, Thomas Wang, Nouamane Tazi, Teven Le Scao, Thomas Wolf, Osma Suominen, Samuli Sairanen, Mikko Merioksa, Jyrki Heinonen, Aija Vahtola, Samuel Antao, Sampo Pyysalo:
FinGPT: Large Generative Models for a Small Language. EMNLP 2023: 2710-2726 - [c9]Niklas Muennighoff, Alexander M. Rush, Boaz Barak, Teven Le Scao, Nouamane Tazi, Aleksandra Piktus, Sampo Pyysalo, Thomas Wolf, Colin A. Raffel:
Scaling Data-Constrained Language Models. NeurIPS 2023 - [i17]Aleksandra Piktus, Christopher Akiki, Paulo Villegas, Hugo Laurençon, Gérard Dupont, Alexandra Sasha Luccioni, Yacine Jernite, Anna Rogers:
The ROOTS Search Tool: Data Transparency for LLMs. CoRR abs/2302.14035 (2023) - [i16]Christopher Akiki, Odunayo Ogundepo, Aleksandra Piktus, Xinyu Zhang, Akintunde Oladipo, Jimmy Lin, Martin Potthast:
Spacerini: Plug-and-play Search Engines with Pyserini and Hugging Face. CoRR abs/2302.14534 (2023) - [i15]Niklas Muennighoff, Alexander M. Rush, Boaz Barak, Teven Le Scao, Aleksandra Piktus, Nouamane Tazi, Sampo Pyysalo, Thomas Wolf, Colin Raffel:
Scaling Data-Constrained Language Models. CoRR abs/2305.16264 (2023) - [i14]Aleksandra Piktus, Odunayo Ogundepo, Christopher Akiki, Akintunde Oladipo, Xinyu Zhang, Hailey Schoelkopf, Stella Biderman, Martin Potthast, Jimmy Lin:
GAIA Search: Hugging Face and Pyserini Interoperability for NLP Training Data Exploration. CoRR abs/2306.01481 (2023) - [i13]Risto Luukkonen, Ville Komulainen, Jouni Luoma, Anni Eskelinen, Jenna Kanerva, Hanna-Mari Kupari, Filip Ginter, Veronika Laippala, Niklas Muennighoff, Aleksandra Piktus, Thomas Wang, Nouamane Tazi, Teven Le Scao, Thomas Wolf, Osma Suominen, Samuli Sairanen, Mikko Merioksa, Jyrki Heinonen, Aija Vahtola, Samuel Antao, Sampo Pyysalo:
FinGPT: Large Generative Models for a Small Language. CoRR abs/2311.05640 (2023) - 2022
- [c8]Leandro von Werra, Lewis Tunstall, Abhishek Thakur, Sasha Luccioni, Tristan Thrush, Aleksandra Piktus, Felix Marty, Nazneen Rajani, Victor Mustar, Helen Ngo:
Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements. EMNLP (Demos) 2022: 128-136 - [c7]Barlas Oguz, Kushal Lakhotia, Anchit Gupta, Patrick S. H. Lewis, Vladimir Karpukhin, Aleksandra Piktus, Xilun Chen, Sebastian Riedel, Scott Yih, Sonal Gupta, Yashar Mehdad:
Domain-matched Pre-training Tasks for Dense Retrieval. NAACL-HLT (Findings) 2022: 1524-1534 - [i12]Fabio Petroni, Samuel Broscheit, Aleksandra Piktus, Patrick S. H. Lewis, Gautier Izacard, Lucas Hosseini, Jane Dwivedi-Yu, Maria Lomeli, Timo Schick, Pierre-Emmanuel Mazaré, Armand Joulin, Edouard Grave, Sebastian Riedel:
Improving Wikipedia Verifiability with AI. CoRR abs/2207.06220 (2022) - [i11]Leandro von Werra, Lewis Tunstall, Abhishek Thakur, Alexandra Sasha Luccioni, Tristan Thrush, Aleksandra Piktus, Felix Marty, Nazneen Rajani, Victor Mustar, Helen Ngo, Omar Sanseviero, Mario Sasko, Albert Villanova del Moral, Quentin Lhoest, Julien Chaumond, Margaret Mitchell, Alexander M. Rush, Thomas Wolf, Douwe Kiela:
Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements. CoRR abs/2210.01970 (2022) - 2021
- [j1]Patrick S. H. Lewis, Yuxiang Wu, Linqing Liu, Pasquale Minervini, Heinrich Küttler, Aleksandra Piktus, Pontus Stenetorp, Sebastian Riedel:
PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them. Trans. Assoc. Comput. Linguistics 9: 1098-1115 (2021) - [c6]Fabio Petroni, Aleksandra Piktus, Angela Fan, Patrick S. H. Lewis, Majid Yazdani, Nicola De Cao, James Thorne, Yacine Jernite, Vladimir Karpukhin, Jean Maillard, Vassilis Plachouras, Tim Rocktäschel, Sebastian Riedel:
KILT: a Benchmark for Knowledge Intensive Language Tasks. NAACL-HLT 2021: 2523-2544 - [i10]Patrick S. H. Lewis, Yuxiang Wu, Linqing Liu, Pasquale Minervini, Heinrich Küttler, Aleksandra Piktus, Pontus Stenetorp, Sebastian Riedel:
PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them. CoRR abs/2102.07033 (2021) - [i9]Barlas Oguz, Kushal Lakhotia, Anchit Gupta, Patrick S. H. Lewis, Vladimir Karpukhin, Aleksandra Piktus, Xilun Chen, Sebastian Riedel, Wen-tau Yih, Sonal Gupta, Yashar Mehdad:
Domain-matched Pre-training Tasks for Dense Retrieval. CoRR abs/2107.13602 (2021) - [i8]Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Dmytro Okhonko, Samuel Broscheit, Gautier Izacard, Patrick S. H. Lewis, Barlas Oguz, Edouard Grave, Wen-tau Yih, Sebastian Riedel:
The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus. CoRR abs/2112.09924 (2021) - 2020
- [c5]Fabio Petroni, Patrick S. H. Lewis, Aleksandra Piktus, Tim Rocktäschel, Yuxiang Wu, Alexander H. Miller, Sebastian Riedel:
How Context Affects Language Models' Factual Predictions. AKBC 2020 - [c4]Luca Massarelli, Fabio Petroni, Aleksandra Piktus, Myle Ott, Tim Rocktäschel, Vassilis Plachouras, Fabrizio Silvestri, Sebastian Riedel:
How Decoding Strategies Affect the Verifiability of Generated Text. EMNLP (Findings) 2020: 223-235 - [c3]Angela Fan, Aleksandra Piktus, Fabio Petroni, Guillaume Wenzek, Marzieh Saeidi, Andreas Vlachos, Antoine Bordes, Sebastian Riedel:
Generating Fact Checking Briefs. EMNLP (1) 2020: 7147-7161 - [c2]Patrick S. H. Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, Douwe Kiela:
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. NeurIPS 2020 - [i7]Pushkar Mishra, Aleksandra Piktus, Gerard Goossen, Fabrizio Silvestri:
Node Masking: Making Graph Neural Networks Generalize and Scale Better. CoRR abs/2001.07524 (2020) - [i6]Fabio Petroni, Patrick S. H. Lewis, Aleksandra Piktus, Tim Rocktäschel, Yuxiang Wu, Alexander H. Miller, Sebastian Riedel:
How Context Affects Language Models' Factual Predictions. CoRR abs/2005.04611 (2020) - [i5]Patrick S. H. Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, Douwe Kiela:
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. CoRR abs/2005.11401 (2020) - [i4]Fabio Petroni, Aleksandra Piktus, Angela Fan, Patrick S. H. Lewis, Majid Yazdani, Nicola De Cao, James Thorne, Yacine Jernite, Vassilis Plachouras, Tim Rocktäschel, Sebastian Riedel:
KILT: a Benchmark for Knowledge Intensive Language Tasks. CoRR abs/2009.02252 (2020) - [i3]Angela Fan, Aleksandra Piktus, Fabio Petroni, Guillaume Wenzek, Marzieh Saeidi, Andreas Vlachos, Antoine Bordes, Sebastian Riedel:
Generating Fact Checking Briefs. CoRR abs/2011.05448 (2020)
2010 – 2019
- 2019
- [c1]Bora Edizel, Aleksandra Piktus, Piotr Bojanowski, Rui Ferreira, Edouard Grave, Fabrizio Silvestri:
Misspelling Oblivious Word Embeddings. NAACL-HLT (1) 2019: 3226-3234 - [i2]Bora Edizel, Aleksandra Piktus, Piotr Bojanowski, Rui Ferreira, Edouard Grave, Fabrizio Silvestri:
Misspelling Oblivious Word Embeddings. CoRR abs/1905.09755 (2019) - [i1]Luca Massarelli, Fabio Petroni, Aleksandra Piktus, Myle Ott, Tim Rocktäschel, Vassilis Plachouras, Fabrizio Silvestri, Sebastian Riedel:
How Decoding Strategies Affect the Verifiability of Generated Text. CoRR abs/1911.03587 (2019)
Coauthor Index
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