Search Results - "Akiki, Christopher"

MuSe: The Musical Sentiment Dataset by Akiki, Christopher, Burghardt, Manuel

“…The MuSe (Music Sentiment) dataset contains sentiment information for 90,001 songs. We computed scores for the affective dimensions of valence, dominance, and…”
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BigScience: A Case Study in the Social Construction of a Multilingual Large Language Model by Akiki, Christopher, Pistilli, Giada, Mieskes, Margot, Gallé, Matthias, Wolf, Thomas, Ilić, Suzana, Jernite, Yacine

“…The BigScience Workshop was a value-driven initiative that spanned one and half years of interdisciplinary research and culminated in the creation of ROOTS, a…”
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BERTian Poetics: Constrained Composition with Masked LMs by Akiki, Christopher, Potthast, Martin

“…Masked language models have recently been interpreted as energy-based sequence models that can be generated from using a Metropolis--Hastings sampler. This…”
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Tracking Discourse Influence in Darknet Forums by Akiki, Christopher, Gienapp, Lukas, Potthast, Martin

“…This technical report documents our efforts in addressing the tasks set forth by the 2021 AMoC (Advanced Modelling of Cyber Criminal Careers) Hackathon. Our…”
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Stable Bias: Analyzing Societal Representations in Diffusion Models by Luccioni, Alexandra Sasha, Akiki, Christopher, Mitchell, Margaret, Jernite, Yacine

“…As machine learning-enabled Text-to-Image (TTI) systems are becoming increasingly prevalent and seeing growing adoption as commercial services, characterizing…”
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How Train-Test Leakage Affects Zero-shot Retrieval by Fröbe, Maik, Akiki, Christopher, Potthast, Martin, Hagen, Matthias

“…Neural retrieval models are often trained on (subsets of) the millions of queries of the MS MARCO / ORCAS datasets and then tested on the 250 Robust04 queries…”
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Exploring Hyperparameter Usage and Tuning in Machine Learning Research by Simon, Sebastian, Kolyada, Nikolay, Akiki, Christopher, Potthast, Martin, Stein, Benno, Siegmund, Norbert

“…The success of machine learning (ML) models depends on careful experimentation and optimization of their hyperparameters. Tuning can affect the reliability and…”
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Spacerini: Plug-and-play Search Engines with Pyserini and Hugging Face by Akiki, Christopher, Ogundepo, Odunayo, Piktus, Aleksandra, Zhang, Xinyu, Oladipo, Akintunde, Lin, Jimmy, Potthast, Martin

“…We present Spacerini, a tool that integrates the Pyserini toolkit for reproducible information retrieval research with Hugging Face to enable the seamless…”
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Towards Openness Beyond Open Access: User Journeys through 3 Open AI Collaboratives by Ding, Jennifer, Akiki, Christopher, Jernite, Yacine, Steele, Anne Lee, Popo, Temi

“…Open Artificial Intelligence (Open source AI) collaboratives offer alternative pathways for how AI can be developed beyond well-resourced technology companies…”
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BigScience: A Case Study in the Social Construction of a Multilingual Large Language Model by Akiki, Christopher, Pistilli, Giada, Mieskes, Margot, Gallé, Matthias, Wolf, Thomas, Ilić, Suzana, Jernite, Yacine

“…The BigScience Workshop was a value-driven initiative that spanned one and half years of interdisciplinary research and culminated in the creation of ROOTS, a…”
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GAIA Search: Hugging Face and Pyserini Interoperability for NLP Training Data Exploration by Piktus, Aleksandra, Ogundepo, Odunayo, Akiki, Christopher, Oladipo, Akintunde, Zhang, Xinyu, Schoelkopf, Hailey, Biderman, Stella, Potthast, Martin, Lin, Jimmy

“…Noticing the urgent need to provide tools for fast and user-friendly qualitative analysis of large-scale textual corpora of the modern NLP, we propose to turn…”
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The ROOTS Search Tool: Data Transparency for LLMs by Piktus, Aleksandra, Akiki, Christopher, Villegas, Paulo, Laurençon, Hugo, Dupont, Gérard, Luccioni, Alexandra Sasha, Jernite, Yacine, Rogers, Anna

“…ROOTS is a 1.6TB multilingual text corpus developed for the training of BLOOM, currently the largest language model explicitly accompanied by commensurate data…”
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Entities, Dates, and Languages: Zero-Shot on Historical Texts with T0 by De Toni, Francesco, Akiki, Christopher, de la Rosa, Javier, Fourrier, Clémentine, Manjavacas, Enrique, Schweter, Stefan, van Strien, Daniel

“…In this work, we explore whether the recently demonstrated zero-shot abilities of the T0 model extend to Named Entity Recognition for out-of-distribution…”
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StarCoder 2 and The Stack v2: The Next Generation by Lozhkov, Anton, Li, Raymond, Allal, Loubna Ben, Cassano, Federico, Lamy-Poirier, Joel, Tazi, Nouamane, Tang, Ao, Pykhtar, Dmytro, Liu, Jiawei, Wei, Yuxiang, Liu, Tianyang, Tian, Max, Kocetkov, Denis, Zucker, Arthur, Belkada, Younes, Wang, Zijian, Liu, Qian, Abulkhanov, Dmitry, Paul, Indraneil, Li, Zhuang, Li, Wen-Ding, Risdal, Megan, Li, Jia, Zhu, Jian, Zhuo, Terry Yue, Zheltonozhskii, Evgenii, Dade, Nii Osae Osae, Yu, Wenhao, Krauß, Lucas, Jain, Naman, Su, Yixuan, He, Xuanli, Dey, Manan, Abati, Edoardo, Chai, Yekun, Muennighoff, Niklas, Tang, Xiangru, Oblokulov, Muhtasham, Akiki, Christopher, Marone, Marc, Mou, Chenghao, Mishra, Mayank, Gu, Alex, Hui, Binyuan, Dao, Tri, Zebaze, Armel, Dehaene, Olivier, Patry, Nicolas, Xu, Canwen, McAuley, Julian, Hu, Han, Scholak, Torsten, Paquet, Sebastien, Robinson, Jennifer, Anderson, Carolyn Jane, Chapados, Nicolas, Patwary, Mostofa, Tajbakhsh, Nima, Jernite, Yacine, Ferrandis, Carlos Muñoz, Zhang, Lingming, Hughes, Sean, Wolf, Thomas, Guha, Arjun, von Werra, Leandro, de Vries, Harm

“…The BigCode project, an open-scientific collaboration focused on the responsible development of Large Language Models for Code (Code LLMs), introduces…”
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SantaCoder: don't reach for the stars by Allal, Loubna Ben, Li, Raymond, Kocetkov, Denis, Mou, Chenghao, Akiki, Christopher, Ferrandis, Carlos Munoz, Muennighoff, Niklas, Mishra, Mayank, Gu, Alex, Dey, Manan, Umapathi, Logesh Kumar, Anderson, Carolyn Jane, Zi, Yangtian, Poirier, Joel Lamy, Schoelkopf, Hailey, Troshin, Sergey, Abulkhanov, Dmitry, Romero, Manuel, Lappert, Michael, De Toni, Francesco, del Río, Bernardo García, Liu, Qian, Bose, Shamik, Bhattacharyya, Urvashi, Zhuo, Terry Yue, Yu, Ian, Villegas, Paulo, Zocca, Marco, Mangrulkar, Sourab, Lansky, David, Nguyen, Huu, Contractor, Danish, Villa, Luis, Li, Jia, Bahdanau, Dzmitry, Jernite, Yacine, Hughes, Sean, Fried, Daniel, Guha, Arjun, de Vries, Harm, von Werra, Leandro

“…The BigCode project is an open-scientific collaboration working on the responsible development of large language models for code. This tech report describes…”
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StarCoder: may the source be with you by Li, Raymond, Allal, Loubna Ben, Zi, Yangtian, Muennighoff, Niklas, Kocetkov, Denis, Mou, Chenghao, Marone, Marc, Akiki, Christopher, Li, Jia, Chim, Jenny, Liu, Qian, Zheltonozhskii, Evgenii, Zhuo, Terry Yue, Wang, Thomas, Dehaene, Olivier, Davaadorj, Mishig, Lamy-Poirier, Joel, Monteiro, João, Shliazhko, Oleh, Gontier, Nicolas, Meade, Nicholas, Zebaze, Armel, Yee, Ming-Ho, Umapathi, Logesh Kumar, Zhu, Jian, Lipkin, Benjamin, Oblokulov, Muhtasham, Wang, Zhiruo, Murthy, Rudra, Stillerman, Jason, Patel, Siva Sankalp, Abulkhanov, Dmitry, Zocca, Marco, Dey, Manan, Zhang, Zhihan, Fahmy, Nour, Bhattacharyya, Urvashi, Yu, Wenhao, Singh, Swayam, Luccioni, Sasha, Villegas, Paulo, Kunakov, Maxim, Zhdanov, Fedor, Romero, Manuel, Lee, Tony, Timor, Nadav, Ding, Jennifer, Schlesinger, Claire, Schoelkopf, Hailey, Ebert, Jan, Dao, Tri, Mishra, Mayank, Gu, Alex, Robinson, Jennifer, Anderson, Carolyn Jane, Dolan-Gavitt, Brendan, Contractor, Danish, Reddy, Siva, Fried, Daniel, Bahdanau, Dzmitry, Jernite, Yacine, Ferrandis, Carlos Muñoz, Hughes, Sean, Wolf, Thomas, Guha, Arjun, von Werra, Leandro, de Vries, Harm

“…The BigCode community, an open-scientific collaboration working on the responsible development of Large Language Models for Code (Code LLMs), introduces…”
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The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset by Laurençon, Hugo, Saulnier, Lucile, Wang, Thomas, Akiki, Christopher, del Moral, Albert Villanova, Scao, Teven Le, Von Werra, Leandro, Mou, Chenghao, Ponferrada, Eduardo González, Nguyen, Huu, Frohberg, Jörg, Šaško, Mario, Lhoest, Quentin, McMillan-Major, Angelina, Dupont, Gerard, Biderman, Stella, Rogers, Anna, allal, Loubna Ben, De Toni, Francesco, Pistilli, Giada, Nguyen, Olivier, Nikpoor, Somaieh, Masoud, Maraim, Colombo, Pierre, de la Rosa, Javier, Villegas, Paulo, Thrush, Tristan, Longpre, Shayne, Nagel, Sebastian, Weber, Leon, Muñoz, Manuel, Zhu, Jian, Van Strien, Daniel, Alyafeai, Zaid, Almubarak, Khalid, Vu, Minh Chien, Gonzalez-Dios, Itziar, Soroa, Aitor, Lo, Kyle, Dey, Manan, Suarez, Pedro Ortiz, Gokaslan, Aaron, Bose, Shamik, Adelani, David, Phan, Long, Tran, Hieu, Yu, Ian, Pai, Suhas, Chim, Jenny, Lepercq, Violette, Ilic, Suzana, Mitchell, Margaret, Luccioni, Sasha Alexandra, Jernite, Yacine

“…As language models grow ever larger, the need for large-scale high-quality text datasets has never been more pressing, especially in multilingual settings. The…”
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