Summary of Unraveling the Smoothness Properties Of Diffusion Models: a Gaussian Mixture Perspective, by Yingyu Liang et al.
Unraveling the Smoothness Properties of Diffusion Models: A Gaussian Mixture Perspectiveby Yingyu Liang, Zhenmei Shi,…
Summary of Ai-generated Text Detection and Classification Based on Bert Deep Learning Algorithm, by Hao Wang et al.
AI-Generated Text Detection and Classification Based on BERT Deep Learning Algorithmby Hao Wang, Jianwei Li,…
Summary of Provably Mitigating Overoptimization in Rlhf: Your Sft Loss Is Implicitly An Adversarial Regularizer, by Zhihan Liu et al.
Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizerby Zhihan Liu,…
Summary of Mindstar: Enhancing Math Reasoning in Pre-trained Llms at Inference Time, by Jikun Kang et al.
MindStar: Enhancing Math Reasoning in Pre-trained LLMs at Inference Timeby Jikun Kang, Xin Zhe Li,…
Summary of A Gpu-accelerated Bi-linear Admm Algorithm For Distributed Sparse Machine Learning, by Alireza Olama et al.
A GPU-Accelerated Bi-linear ADMM Algorithm for Distributed Sparse Machine Learningby Alireza Olama, Andreas Lundell, Jan…
Summary of Picturing Ambiguity: a Visual Twist on the Winograd Schema Challenge, by Brendan Park et al.
Picturing Ambiguity: A Visual Twist on the Winograd Schema Challengeby Brendan Park, Madeline Janecek, Naser…
Summary of Confidence Under the Hood: An Investigation Into the Confidence-probability Alignment in Large Language Models, by Abhishek Kumar et al.
Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Modelsby Abhishek…
Summary of Generation Of Synthetic Data Using Breast Cancer Dataset and Classification with Resnet18, by Dilsat Berin Aytar and Semra Gunduc
Generation of synthetic data using breast cancer dataset and classification with resnet18by Dilsat Berin Aytar,…
Summary of Modellock: Locking Your Model with a Spell, by Yifeng Gao et al.
ModelLock: Locking Your Model With a Spellby Yifeng Gao, Yuhua Sun, Xingjun Ma, Zuxuan Wu,…
Summary of Logah: Predicting 774-million-parameter Transformers Using Graph Hypernetworks with 1/100 Parameters, by Xinyu Zhou et al.
LoGAH: Predicting 774-Million-Parameter Transformers using Graph HyperNetworks with 1/100 Parametersby Xinyu Zhou, Boris Knyazev, Alexia…