Misspelling Oblivious Word Embeddings. - Bora Edizel; Aleksandra Piktus; Piotr Bojanowski; Rui Ferreira; Edouard Grave; Fabrizio Silvestri (NAACL-HLT (1), 2019)

How Context Affects Language Models' Factual Predictions. - Fabio Petroni; Patrick Lewis 001; Aleksandra Piktus; Tim Rocktäschel; Yuxiang Wu; Alexander H. Miller; Sebastian Riedel 001 (AKBC, 2020)

Generating Fact Checking Briefs. - Angela Fan; Aleksandra Piktus; Fabio Petroni; Guillaume Wenzek; Marzieh Saeidi; Andreas Vlachos 001; Antoine Bordes; Sebastian Riedel 001 (EMNLP (1), 2020)

How Decoding Strategies Affect the Verifiability of Generated Text. - Luca Massarelli; Fabio Petroni; Aleksandra Piktus; Myle Ott; Tim Rocktäschel; Vassilis Plachouras; Fabrizio Silvestri; Sebastian Riedel 001 (EMNLP (Findings), 2020)

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. - Patrick Lewis 001; Ethan Perez; Aleksandra Piktus; Fabio Petroni; Vladimir Karpukhin; Naman Goyal 001; Heinrich Küttler; Mike Lewis; Wen-tau Yih; Tim Rocktäschel; Sebastian Riedel 001; Douwe Kiela (NeurIPS, 2020)

Node Masking: Making Graph Neural Networks Generalize and Scale Better. - Pushkar Mishra; Aleksandra Piktus; Gerard Goossen; Fabrizio Silvestri (CoRR, 2020)

KILT: a Benchmark for Knowledge Intensive Language Tasks. - Fabio Petroni; Aleksandra Piktus; Angela Fan; Patrick Lewis 001; Majid Yazdani; Nicola De Cao; James Thorne; Yacine Jernite; Vassilis Plachouras; Tim Rocktäschel; Sebastian Riedel 001 (CoRR, 2020)

KILT: a Benchmark for Knowledge Intensive Language Tasks. - Fabio Petroni; Aleksandra Piktus; Angela Fan; Patrick Lewis 001; Majid Yazdani; Nicola De Cao; James Thorne; Yacine Jernite; Vladimir Karpukhin; Jean Maillard; Vassilis Plachouras; Tim Rocktäschel; et al. (NAACL-HLT, 2021)

The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus. - Aleksandra Piktus; Fabio Petroni; Vladimir Karpukhin; Dmytro Okhonko; Samuel Broscheit; Gautier Izacard; Patrick Lewis 001; Barlas Oguz; Edouard Grave; Wen-tau Yih; Sebastian Riedel 001 (CoRR, 2021)

PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them. - Patrick Lewis 001; Yuxiang Wu; Linqing Liu; Pasquale Minervini; Heinrich Küttler; Aleksandra Piktus; Pontus Stenetorp; Sebastian Riedel 001 (Trans. Assoc. Comput. Linguistics, 2021)

Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements. - Leandro von Werra; Lewis Tunstall; Abhishek Thakur; Sasha Luccioni; Tristan Thrush; Aleksandra Piktus; Felix Marty; Nazneen Rajani; Victor Mustar; Helen Ngo (EMNLP (Demos), 2022)

Domain-matched Pre-training Tasks for Dense Retrieval. - Barlas Oguz; Kushal Lakhotia; Anchit Gupta; Patrick Lewis 001; Vladimir Karpukhin; Aleksandra Piktus; Xilun Chen 002; Sebastian Riedel 001; Scott Yih; Sonal Gupta; Yashar Mehdad (NAACL-HLT (Findings), 2022)

Improving Wikipedia Verifiability with AI. - Fabio Petroni; Samuel Broscheit; Aleksandra Piktus; Patrick Lewis 001; Gautier Izacard; Lucas Hosseini; Jane Dwivedi-Yu; Maria Lomeli; Timo Schick; Pierre-Emmanuel Mazaré; Armand Joulin; Edouard Grave; et al. (CoRR, 2022)

Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements. - 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; et al. (CoRR, 2022)

The ROOTS Search Tool: Data Transparency for LLMs. - Aleksandra Piktus; Christopher Akiki; Paulo Villegas; Hugo Laurençon; Gérard Dupont; Sasha Luccioni; Yacine Jernite; Anna Rogers (ACL (demo), 2023)

GAIA Search: Hugging Face and Pyserini Interoperability for NLP Training Data Exploration. - Aleksandra Piktus; Odunayo Ogundepo; Christopher Akiki; Akintunde Oladipo; Xinyu Zhang 018; Hailey Schoelkopf; Stella Biderman; Martin Potthast; Jimmy Lin (ACL (demo), 2023)

Spacerini: Plug-and-play Search Engines with Pyserini and Hugging Face. - Christopher Akiki; Odunayo Ogundepo; Aleksandra Piktus; Xinyu Zhang 018; Akintunde Oladipo; Jimmy Lin; Martin Potthast (EMNLP (Demos), 2023)

FinGPT: Large Generative Models for a Small Language. - 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; et al. (EMNLP, 2023)

Scaling Data-Constrained Language Models. - Niklas Muennighoff; Alexander M. Rush; Boaz Barak; Teven Le Scao; Nouamane Tazi; Aleksandra Piktus; Sampo Pyysalo; Thomas Wolf 008; Colin A. Raffel (NeurIPS, 2023)

Improving Wikipedia verifiability with AI. - Fabio Petroni; Samuel Broscheit; Aleksandra Piktus; Patrick Lewis 001; Gautier Izacard; Lucas Hosseini; Jane Dwivedi-Yu; Maria Lomeli; Timo Schick; Michele Bevilacqua; Pierre-Emmanuel Mazaré; Armand Joulin; et al. (Nat. Mac. Intell., 2023)

Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models. - Pat Verga; Sebastian Hofstätter; Sophia Althammer; Yixuan Su; Aleksandra Piktus; Arkady Arkhangorodsky; Minjie Xu; Naomi White; Patrick Lewis 002 (CoRR, 2024)

Aya Expanse: Combining Research Breakthroughs for a New Multilingual Frontier. - John Dang; Shivalika Singh; Daniel D'souza; Arash Ahmadian; Alejandro Salamanca; Madeline Smith; Aidan Peppin; Sungjin Hong; Manoj Govindassamy; Terrence Zhao; Sandra Kublik; Meor Amer; et al. (CoRR, 2024)