Summary of Revealing the Utilized Rank Of Subspaces Of Learning in Neural Networks, by Isha Garg et al.
Revealing the Utilized Rank of Subspaces of Learning in Neural Networksby Isha Garg, Christian Koguchi,…
Summary of Gpt Vs Retro: Exploring the Intersection Of Retrieval and Parameter-efficient Fine-tuning, by Aleksander Ficek et al.
GPT vs RETRO: Exploring the Intersection of Retrieval and Parameter-Efficient Fine-Tuningby Aleksander Ficek, Jiaqi Zeng,…
Summary of Quantifying Prediction Consistency Under Model Multiplicity in Tabular Llms, by Faisal Hamman et al.
Quantifying Prediction Consistency Under Model Multiplicity in Tabular LLMsby Faisal Hamman, Pasan Dissanayake, Saumitra Mishra,…
Summary of Leveraging Latent Diffusion Models For Training-free In-distribution Data Augmentation For Surface Defect Detection, by Federico Girella et al.
Leveraging Latent Diffusion Models for Training-Free In-Distribution Data Augmentation for Surface Defect Detectionby Federico Girella,…
Summary of Roer: Regularized Optimal Experience Replay, by Changling Li et al.
ROER: Regularized Optimal Experience Replayby Changling Li, Zhang-Wei Hong, Pulkit Agrawal, Divyansh Garg, Joni PajarinenFirst…
Summary of Dotamath: Decomposition Of Thought with Code Assistance and Self-correction For Mathematical Reasoning, by Chengpeng Li et al.
DotaMath: Decomposition of Thought with Code Assistance and Self-correction for Mathematical Reasoningby Chengpeng Li, Guanting…
Summary of Domain-aware Fine-tuning Of Foundation Models, by Ugur Ali Kaplan et al.
Domain-Aware Fine-Tuning of Foundation Modelsby Ugur Ali Kaplan, Margret Keuper, Anna Khoreva, Dan Zhang, Yumeng…
Summary of A Survey Of Data Synthesis Approaches, by Hsin-yu Chang et al.
A Survey of Data Synthesis Approachesby Hsin-Yu Chang, Pei-Yu Chen, Tun-Hsiang Chou, Chang-Sheng Kao, Hsuan-Yun…
Summary of An Efficient Framework For Crediting Data Contributors Of Diffusion Models, by Chris Lin et al.
An Efficient Framework for Crediting Data Contributors of Diffusion Modelsby Chris Lin, Mingyu Lu, Chanwoo…
Summary of Self-evaluation As a Defense Against Adversarial Attacks on Llms, by Hannah Brown et al.
Self-Evaluation as a Defense Against Adversarial Attacks on LLMsby Hannah Brown, Leon Lin, Kenji Kawaguchi,…