1 code implementation
•
19 Feb 2025
•
Kenneth Enevoldsen,
Isaac Chung,
Imene Kerboua,
Márton Kardos,
Ashwin Mathur,
David Stap,
Jay Gala,
Wissam Siblini,
Dominik Krzemiński,
Genta Indra Winata,
Saba Sturua,
Saiteja Utpala,
Mathieu Ciancone,
Marion Schaeffer,
Gabriel Sequeira,
Diganta Misra,
Shreeya Dhakal,
Jonathan Rystrøm,
Roman Solomatin,
Ömer Çağatan,
Akash Kundu,
Martin Bernstorff,
Shitao Xiao,
Akshita Sukhlecha,
Bhavish Pahwa,
Rafał Poświata,
Kranthi Kiran GV,
Shawon Ashraf,
Daniel Auras,
Björn Plüster,
Jan Philipp Harries,
Loïc Magne,
Isabelle Mohr,
Mariya Hendriksen,
Dawei Zhu,
Hippolyte Gisserot-Boukhlef,
Tom Aarsen,
Jan Kostkan,
Konrad Wojtasik,
Taemin Lee,
Marek Šuppa,
Crystina Zhang,
Roberta Rocca,
Mohammed Hamdy,
Andrianos Michail,
John Yang,
Manuel Faysse,
Aleksei Vatolin,
Nandan Thakur,
Manan Dey,
Dipam Vasani,
Pranjal Chitale,
Simone Tedeschi,
Nguyen Tai,
Artem Snegirev,
Michael Günther,
Mengzhou Xia,
Weijia Shi,
Xing Han Lù,
Jordan Clive,
Gayatri Krishnakumar,
Anna Maksimova,
Silvan Wehrli,
Maria Tikhonova,
Henil Panchal,
Aleksandr Abramov,
Malte Ostendorff,
Zheng Liu,
Simon Clematide,
Lester James Miranda,
Alena Fenogenova,
Guangyu Song,
Ruqiya Bin Safi,
Wen-Ding Li,
Alessia Borghini,
Federico Cassano,
Hongjin Su,
Jimmy Lin,
Howard Yen,
Lasse Hansen,
Sara Hooker,
Chenghao Xiao,
Vaibhav Adlakha,
Orion Weller,
Siva Reddy,
Niklas Muennighoff
MMTEB includes a diverse set of challenging, novel tasks such as instruction following, long-document retrieval, and code retrieval, representing the largest multilingual collection of evaluation tasks for embedding models to date.
Instruction Following
Retrieval
