Colin Raffel10 papers on this site (2020–2024)The FineWeb Datasets: Decanting the Web for the Finest Text Data at ScaleGuilherme Penedo, Hynek Kydlíček, Loubna Ben allal, et al.2024TIES-Merging: Resolving Interference When Merging ModelsPrateek Yadav, Derek Tam, Leshem Choshen, et al.2023Deduplicating Training Data Mitigates Privacy Risks in Language ModelsNikhil Kandpal, Eric Wallace, Colin Raffel2022Emergent Abilities of Large Language ModelsJason Wei, Yi Tay, Rishi Bommasani, et al.2022Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context LearningHaokun Liu, Derek Tam, Mohammed Muqeeth, et al.2022Large Language Models Struggle to Learn Long-Tail KnowledgeNikhil Kandpal, Haikang Deng, Adam Roberts, et al.2022PromptSource: An Integrated Development Environment and Repository for Natural Language PromptsStephen H. Bach, Victor Sanh, Zheng-Xin Yong, et al.2022Merging Models with Fisher-Weighted AveragingMichael Matena, Colin Raffel2021Multitask Prompted Training Enables Zero-Shot Task GeneralizationVictor Sanh, Albert Webson, Colin Raffel, et al.2021Extracting Training Data from Large Language ModelsNicholas Carlini, Florian Tramer, Eric Wallace, et al.2020