Toward a Musical Sentiment (MuSe) Dataset for Affective Distant Hearing. - Christopher Akiki; Manuel Burghardt (CHR, 2020)

Exploring Argument Retrieval with Transformers. - Christopher Akiki; Martin Potthast (CLEF (Working Notes), 2020)

Learning to Rank Arguments with Feature Selection. - Christopher Akiki; Maik Fröbe; Matthias Hagen; Martin Potthast (CLEF (Working Notes), 2021)

BERTian Poetics: Constrained Composition with Masked LMs. - Christopher Akiki; Martin Potthast (CoRR, 2021)

Noise-Reduction for Automatically Transferred Relevance Judgments. - Maik Fröbe; Christopher Akiki; Martin Potthast; Matthias Hagen (CLEF, 2022)

The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset. - Hugo Laurençon; Lucile Saulnier; Thomas Wang; Christopher Akiki; Albert Villanova del Moral; Teven Le Scao; Leandro von Werra; Chenghao Mou; Eduardo González Ponferrada; Huu Nguyen; Jörg Frohberg; Mario Sasko; et al. (NeurIPS, 2022)

How Train-Test Leakage Affects Zero-Shot Retrieval. - Maik Fröbe; Christopher Akiki; Martin Potthast; Matthias Hagen (SPIRE, 2022)

Tracking Discourse Influence in Darknet Forums. - Christopher Akiki; Lukas Gienapp; Martin Potthast (CoRR, 2022)

Entities, Dates, and Languages: Zero-Shot on Historical Texts with T0. - Francesco De Toni; Christopher Akiki; Javier de la Rosa 001; Clémentine Fourrier; Enrique Manjavacas; Stefan Schweter; Daniel van Strien (CoRR, 2022)

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model. - Teven Le Scao; Angela Fan; Christopher Akiki; Ellie Pavlick; Suzana Ilic; Daniel Hesslow; Roman Castagné; Alexandra Sasha Luccioni; François Yvon; Matthias Gallé; Jonathan Tow; Alexander M. Rush; et al. (CoRR, 2022)

BigScience: A Case Study in the Social Construction of a Multilingual Large Language Model. - Christopher Akiki; Giada Pistilli; Margot Mieskes; Matthias Gallé; Thomas Wolf 008; Suzana Ilic; Yacine Jernite (CoRR, 2022)

Shared Tasks as Tutorials: A Methodical Approach. - Theresa Elstner; Frank Loebe; Yamen Ajjour; Christopher Akiki; Alexander Bondarenko 001; Maik Fröbe; Lukas Gienapp; Nikolay Kolyada; Janis Mohr; Stephan Sandfuchs; Matti Wiegmann; Jörg Frochte; et al. (AAAI, 2023)

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)

Exploring Hyperparameter Usage and Tuning in Machine Learning Research. - Sebastian Simon; Nikolay Kolyada; Christopher Akiki; Martin Potthast; Benno Stein 001; Norbert Siegmund (CAIN, 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)

Stable Bias: Evaluating Societal Representations in Diffusion Models. - Sasha Luccioni; Christopher Akiki; Margaret Mitchell; Yacine Jernite (NeurIPS, 2023)

SantaCoder: don't reach for the stars! - Loubna Ben Allal; Raymond Li; Denis Kocetkov; Chenghao Mou; Christopher Akiki; Carlos Muñoz Ferrandis; Niklas Muennighoff; Mayank Mishra; Alex Gu; Manan Dey; Logesh Kumar Umapathi; Carolyn Jane Anderson; et al. (CoRR, 2023)

Towards Openness Beyond Open Access: User Journeys through 3 Open AI Collaboratives. - Jennifer Ding; Christopher Akiki; Yacine Jernite; Anne Lee Steele; Temi Popo (CoRR, 2023)

Stable Bias: Analyzing Societal Representations in Diffusion Models. - Alexandra Sasha Luccioni; Christopher Akiki; Margaret Mitchell; Yacine Jernite (CoRR, 2023)

StarCoder: may the source be with you! - Raymond Li; Loubna Ben Allal; Yangtian Zi; Niklas Muennighoff; Denis Kocetkov; Chenghao Mou; Marc Marone; Christopher Akiki; Jia Li 015; Jenny Chim; Qian Liu 012; Evgenii Zheltonozhskii; et al. (Trans. Mach. Learn. Res., 2023)

Resources for Combining Teaching and Research in Information Retrieval Coursework. - Maik Fröbe; Harrisen Scells; Theresa Elstner; Christopher Akiki; Lukas Gienapp; Jan Heinrich Reimer; Sean MacAvaney; Benno Stein 001; Matthias Hagen; Martin Potthast (SIGIR, 2024)

StarCoder 2 and The Stack v2: The Next Generation. - Anton Lozhkov; Raymond Li; Loubna Ben Allal; Federico Cassano; Joel Lamy-Poirier; Nouamane Tazi; Ao Tang; Dmytro Pykhtar; Jiawei Liu 004; Yuxiang Wei 003; Tianyang Liu 003; Max Tian; et al. (CoRR, 2024)