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299 Results
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Workshop
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End-to-End Conformal Calibration for Robust Grid-Scale Battery Storage Optimization Christopher Yeh · Nicolas Christianson · Adam Wierman · Yisong Yue |
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Scaling Smart: Accelerating Large Language Model Pre-Training with Small Model Initialization Mohammad Samragh · Iman Mirzadeh · Keivan Alizadeh-Vahid · Fartash Faghri · Minsik Cho · Moin Nabi · Devang Naik · Mehrdad Farajtabar |
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Computational Bottlenecks of Training Small-scale Large Language Models Saleh Ashkboos · Iman Mirzadeh · Keivan Alizadeh-Vahid · Mohammad Hossein Sekhavat · Moin Nabi · Mehrdad Farajtabar · Fartash Faghri |
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Workshop
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Sat 12:00 |
Skilling laws: scaling laws for LLM benchmark performance Felipe Maia Polo · Seamus Somerstep · Leshem Choshen · Yuekai Sun · Mikhail Yurochkin |
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Workshop
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Sun 14:00 |
Building AI Applications for Large Scale Assessment: A Case Study in Writing Feedback |
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Workshop
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Efficient Generation of Molecular Clusters with Dual-Scale Equivariant Flow Matching Akshay Subramanian · Shuhui Qu · Cheol Woo Park · Sulin Liu · Janghwan Lee · Rafael Gomez-Bombarelli |
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Workshop
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3D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination Jianing Yang · Xuweiyi Chen · Nikhil Madaan · Madhavan Iyengar · Shengyi Qian · David Fouhey · Joyce Chai |
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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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Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale Rogerio Bonatti · Dan Zhao · Sara Abdali · Yinheng Li · Yadong Lu · Justin Wagle · Kazuhito Koishida · Arthur Bucker · Lawrence Jang · Dillon Dupont · Zheng Hui |
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Workshop
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WASH: Train your Ensemble with Communication-Efficient Weight Shuffling, then Average Louis Fournier · Adel Nabli · Masih Aminbeidokhti · Marco Pedersoli · Eugene Belilovsky · Edouard Oyallon |
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Workshop
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Sat 13:00 |
PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing Phillip Long · Zachary Novack · Taylor Berg-Kirkpatrick · Julian McAuley |
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Workshop
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The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning Ruben Ohana · Michael McCabe · Lucas Meyer · Rudy Morel · Fruzsina Agocs · Miguel Beneitez · Marsha Berger · Blakesly Burkhart · Stuart Dalziel · Drummond Fielding · Daniel Fortunato · Jared Goldberg · Keiya Hirashima · Yan-Fei Jiang · Rich Kerswell · Suryanarayana Maddu · Jonah Miller · Payel Mukhopadhyay · Stefan Nixon · Jeff Shen · Romain Watteaux · Bruno Régaldo-Saint Blancard · Liam Parker · Miles Cranmer · Shirley Ho |