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Poster
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Fri 11:00
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DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving
Yuxuan Tong · Xiwen Zhang · Rui Wang · Ruidong Wu · Junxian He
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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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DrawEduMath: Evaluating Vision Language Models with Expert-Annotated Students’ Hand-Drawn Math Images
Sami Baral · Li Lucy · Ryan Knight · Alice Ng · Luca Soldaini · Neil Heffernan · Kyle Lo
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Workshop
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CAFA: Coding as Auto-Formulation Can Boost Large Language Models in Solving Linear Programming Problem
Haoxuan Deng · Bohao Zheng · YURI JIANG · Trung Tran
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Poster
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Thu 16:30
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MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems
Bin Lei · Yi Zhang · Shan Zuo · Ali Payani · Caiwen Ding
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Competition
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Sat 10:00
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10th place: polynomial approximation, does it solve the problem?
Georgii Aparin
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Poster
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Fri 11:00
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DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models
Hengkang Wang · Xu Zhang · Taihui Li · Yuxiang Wan · Tiancong Chen · Ju Sun
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Poster
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Wed 16:30
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Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems
Jiawei Zhang · Jiaxin Zhuang · Cheng Jin · Gen Li · Yuantao Gu
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Workshop
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Can Generative AI Solve Your In-Context Learning Problem? A Martingale Perspective
Andrew Jesson · Nicolas Beltran Velez · David Blei
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Poster
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Wed 11:00
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Learning Image Priors Through Patch-Based Diffusion Models for Solving Inverse Problems
Jason Hu · Bowen Song · Xiaojian Xu · Liyue Shen · Jeffrey Fessler
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Workshop
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Interleaving Text and Number Embeddings to Solve Mathemathics Problems
Marvin Alberts · Gianmarco Gabrieli · Irina Morales
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Poster
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Fri 16:30
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Latent Neural Operator for Solving Forward and Inverse PDE Problems
Tian Wang · Chuang Wang
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