Summary of Lignn: Graph Neural Networks at Linkedin, by Fedor Borisyuk et al.
LiGNN: Graph Neural Networks at LinkedInby Fedor Borisyuk, Shihai He, Yunbo Ouyang, Morteza Ramezani, Peng…
LiGNN: Graph Neural Networks at LinkedInby Fedor Borisyuk, Shihai He, Yunbo Ouyang, Morteza Ramezani, Peng…
Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Modelsby Sijia Chen, Baochun Li, Di…
Knowledge Distillation Based on Transformed Teacher Matchingby Kaixiang Zheng, En-Hui YangFirst submitted to arxiv on:…
When is Tree Search Useful for LLM Planning? It Depends on the Discriminatorby Ziru Chen,…
Instruction Diversity Drives Generalization To Unseen Tasksby Dylan Zhang, Justin Wang, Francois ChartonFirst submitted to…
RLVF: Learning from Verbal Feedback without Overgeneralizationby Moritz Stephan, Alexander Khazatsky, Eric Mitchell, Annie S…
Fusion of Diffusion Weighted MRI and Clinical Data for Predicting Functional Outcome after Acute Ischemic…
Neural machine translation of clinical procedure codes for medical diagnosis and uncertainty quantificationby Pei-Hung Chung,…
Text2Data: Low-Resource Data Generation with Textual Controlby Shiyu Wang, Yihao Feng, Tian Lan, Ning Yu,…
LLM-Assisted Crisis Management: Building Advanced LLM Platforms for Effective Emergency Response and Public Collaborationby Hakan…