Summary of Arc: a Generalist Graph Anomaly Detector with In-context Learning, by Yixin Liu et al.
ARC: A Generalist Graph Anomaly Detector with In-Context Learningby Yixin Liu, Shiyuan Li, Yu Zheng,…
Summary of Taga: Text-attributed Graph Self-supervised Learning by Synergizing Graph and Text Mutual Transformations, By Zheng Zhang et al.
TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformationsby Zheng Zhang, Yuntong…
Summary of Pretraining with Random Noise For Fast and Robust Learning Without Weight Transport, by Jeonghwan Cheon et al.
Pretraining with Random Noise for Fast and Robust Learning without Weight Transportby Jeonghwan Cheon, Sang…
Summary of Greedy Growing Enables High-resolution Pixel-based Diffusion Models, by Cristina N. Vasconcelos et al.
Greedy Growing Enables High-Resolution Pixel-Based Diffusion Modelsby Cristina N. Vasconcelos, Abdullah Rashwan, Austin Waters, Trevor…
Summary of On the Algorithmic Bias Of Aligning Large Language Models with Rlhf: Preference Collapse and Matching Regularization, by Jiancong Xiao et al.
On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching…
Summary of Multi-reference Preference Optimization For Large Language Models, by Hung Le et al.
Multi-Reference Preference Optimization for Large Language Modelsby Hung Le, Quan Tran, Dung Nguyen, Kien Do,…
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 Federated Unsupervised Domain Generalization Using Global and Local Alignment Of Gradients, by Farhad Pourpanah et al.
Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradientsby Farhad Pourpanah, Mahdiyar Molahasani,…
Summary of A Transfer Learning Framework For Weak-to-strong Generalization, by Seamus Somerstep et al.
A transfer learning framework for weak-to-strong generalizationby Seamus Somerstep, Felipe Maia Polo, Moulinath Banerjee, Ya'acov…
Summary of Does Sgd Really Happen in Tiny Subspaces?, by Minhak Song et al.
Does SGD really happen in tiny subspaces?by Minhak Song, Kwangjun Ahn, Chulhee YunFirst submitted to…