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109 Results
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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 |
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Workshop
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An Information Theory of Compute-Optimal Size Scaling, Emergence, and Plateaus in Language Models Anuj Keshava Nayak · Lav Varshney |
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Workshop
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Scaling Collapse Reveals Universal Dynamics in Compute-Optimally Trained Neural Networks Shikai Qiu · Atish Agarwala · Lechao Xiao · Jeffrey Pennington |
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Poster
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Wed 16:30 |
4+3 Phases of Compute-Optimal Neural Scaling Laws Elliot Paquette · Courtney Paquette · Lechao Xiao · Jeffrey Pennington |
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Poster
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Fri 11:00 |
Resolving Discrepancies in Compute-Optimal Scaling of Language Models Tomer Porian · Mitchell Wortsman · Jenia Jitsev · Ludwig Schmidt · Yair Carmon |
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Poster
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Thu 16:30 |
Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe Albert Q. Jiang · Alicja Ziarko · Bartosz Piotrowski · Wenda Li · Mateja Jamnik · Piotr Miłoś |
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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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Poster
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Fri 11:00 |
Training Compute-Optimal Protein Language Models Xingyi Cheng · Bo Chen · Pan Li · Jing Gong · Jie Tang · Le Song |
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Workshop
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Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling Hritik Bansal · Arian Hosseini · Rishabh Agarwal · Vinh Tran · Mehran Kazemi |
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Workshop
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LLMs Infer Protected Attributes Beyond Proxy Features Dimitri Staufer |
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Poster
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Thu 16:30 |
Unscrambling disease progression at scale: fast inference of event permutations with optimal transport Peter Wijeratne · Daniel Alexander |
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Workshop
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Efficient Experimentation for Estimation of Continuous and Discrete Conditional Treatment Effects Muhammed Razzak · Panagiotis Tigas · Andrew Jesson · Yarin Gal · Uri Shalit |