{
 "id": "Can111/ShellElastic-data",
 "owner": "Can111",
 "name": "ShellElastic-data",
 "downloads": 151,
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 "last_modified": "2026-10-14T02:38:17.000Z",
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 "tasks": [
  "text-generation"
 ],
 "citation": "@article{jin2026shellelastic,\n  title   = {{ShellElastic}: Scalable Elastic Pretraining with Simultaneous Maximal Updates and Hyperparameter Transfer},\n  author  = {Jin, Can and Kang, Yan and Gong, Yifan and Ge, Chongjian and Xu, Mingze and Xiong, Yuanjun and Metaxas, Dimitris N. and Peng, Hongwu},\n  journal = {arXiv preprint arXiv:2610.15124},\n  year    = {2026},\n  url     = {https://arxiv.org/abs/2610.15124}\n}\n\n@article{li2024datacomp,\n  title={Datacomp-lm: In search of the next generation of training sets for language models},\n  author={Li, Jeffrey and Fang, Alex and Smyrnis, Georgios and Ivgi, Maor and Jordan, Matt and Gadre, Samir and Bansal, Hritik and Guha, Etash and Keh, Sedrick and Arora, Kushal and others},\n  journal={Advances in Neural Information Processing Systems},\n  volume={37},\n  pages={14200--14282},\n  year={2024}\n}\n\n@article{raffel2020exploring,\n  title={Exploring the limits of transfer learning with a unified text-to-text transformer},\n  author={Raffel, Colin and Shazeer, Noam and Roberts, Adam and Lee, Katherine and Narang, Sharan and Matena, Michael and Zhou, Yanqi and Li, Wei and Liu, Peter J},\n  journal={Journal of machine learning research},\n  volume={21},\n  number={140},\n  pages={1--67},\n  year={2020}\n}",
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