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46 Results
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Poster
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Wed 11:00 |
Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations Alex Hägele · Elie Bakouch · Atli Kosson · Loubna Ben allal · Leandro Von Werra · Martin Jaggi |
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Workshop
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Guaranteeing Conservation Laws with Projection in Physics-Informed Neural Networks Anthony Baez · Wang Zhang · Ziwen Ma · Subhro Das · Lam Nguyen · Luca Daniel |
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Workshop
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Convolutional Hierarchical Deep Learning Neural Networks-Tensor Decomposition (C-HiDeNN-TD): a scalable surrogate modeling approach for large-scale physical systems Jiachen Guo · Chanwook Park · Xiaoyu Xie · Zhongsheng Sang · Gregory J. Wagner · Kam Liu |
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Workshop
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Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data Huajian Xin · Daya Guo · Zhihong Shao · Z.Z. Ren · Qihao Zhu · Bo Liu · Chong Ruan · Wenda Li · Xiaodan Liang |
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Poster
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Fri 11:00 |
Observational Scaling Laws and the Predictability of Langauge Model Performance Yangjun Ruan · Chris Maddison · Tatsunori Hashimoto |
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Workshop
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Scaling Generative Tabular Learning for Large Language Models Yiming Sun · Xumeng Wen · Shun Zheng · Xiaowei Jia · Jiang Bian |
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Poster
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Thu 11:00 |
Dimension-free deterministic equivalents and scaling laws for random feature regression Leonardo Defilippis · Bruno Loureiro · Theodor Misiakiewicz |
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Workshop
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Skywork-Math: Data Scaling Laws for Mathematical Reasoning in LLMs — The Story Goes On Liang Zeng · Liangjun Zhong |
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Workshop
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Scaling laws for post-training quantized large language models Zifei Xu · Alexander Lan · Wanzin Yazar · Tristan Webb · Sayeh Sharify · Xin Wang |
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Poster
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Thu 11:00 |
Scaling transformer neural networks for skillful and reliable medium-range weather forecasting Tung Nguyen · Rohan Shah · Hritik Bansal · Troy Arcomano · Romit Maulik · Rao Kotamarthi · Ian Foster · Sandeep Madireddy · Aditya Grover |
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Workshop
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Loss-to-Loss Prediction: Language model scaling laws across datasets David Brandfonbrener · Nikhil Anand · Nikhil Vyas · Eran Malach · Sham Kakade |
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Workshop
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Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for LLM Problem-Solving Yangzhen Wu · Zhiqing Sun · Shanda Li · Sean Welleck · Yiming Yang |