Summary of Aflow: Automating Agentic Workflow Generation, by Jiayi Zhang et al.
AFlow: Automating Agentic Workflow Generationby Jiayi Zhang, Jinyu Xiang, Zhaoyang Yu, Fengwei Teng, Xionghui Chen,…
Summary of When Attention Sink Emerges in Language Models: An Empirical View, by Xiangming Gu et al.
When Attention Sink Emerges in Language Models: An Empirical Viewby Xiangming Gu, Tianyu Pang, Chao…
Summary of On Information-theoretic Measures Of Predictive Uncertainty, by Kajetan Schweighofer et al.
On Information-Theoretic Measures of Predictive Uncertaintyby Kajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi, Sepp HochreiterFirst submitted…
Summary of Semantic Image Inversion and Editing Using Rectified Stochastic Differential Equations, by Litu Rout et al.
Semantic Image Inversion and Editing using Rectified Stochastic Differential Equationsby Litu Rout, Yujia Chen, Nataniel…
Summary of Context-parametric Inversion: Why Instruction Finetuning May Not Actually Improve Context Reliance, by Sachin Goyal et al.
Context-Parametric Inversion: Why Instruction Finetuning May Not Actually Improve Context Relianceby Sachin Goyal, Christina Baek,…
Summary of Tl-pca: Transfer Learning Of Principal Component Analysis, by Sharon Hendy et al.
TL-PCA: Transfer Learning of Principal Component Analysisby Sharon Hendy, Yehuda DarFirst submitted to arxiv on:…
Summary of Mix Data or Merge Models? Optimizing For Diverse Multi-task Learning, by Aakanksha et al.
Mix Data or Merge Models? Optimizing for Diverse Multi-Task Learningby Aakanksha, Arash Ahmadian, Seraphina Goldfarb-Tarrant,…
Summary of Trajdiffuse: a Conditional Diffusion Model For Environment-aware Trajectory Prediction, by Qingze (tony) Liu et al.
TrajDiffuse: A Conditional Diffusion Model for Environment-Aware Trajectory Predictionby Qingze, Danrui Li, Samuel S. Sohn,…
Summary of Hard-constrained Neural Networks with Universal Approximation Guarantees, by Youngjae Min et al.
Hard-Constrained Neural Networks with Universal Approximation Guaranteesby Youngjae Min, Anoopkumar Sonar, Navid AzizanFirst submitted to…
Summary of Deep Linear Probe Generators For Weight Space Learning, by Jonathan Kahana et al.
Deep Linear Probe Generators for Weight Space Learningby Jonathan Kahana, Eliahu Horwitz, Imri Shuval, Yedid…