Summary of An Empirical Study on Context Length For Open-domain Dialog Generation, by Xinyi Shen et al.
An Empirical Study on Context Length for Open-Domain Dialog Generationby Xinyi Shen, Zuoquan LinFirst submitted…
Summary of Breaking Down Financial News Impact: a Novel Ai Approach with Geometric Hypergraphs, by Anoushka Harit et al.
Breaking Down Financial News Impact: A Novel AI Approach with Geometric Hypergraphsby Anoushka Harit, Zhongtian…
Summary of Learning-based Finite Element Methods Modeling For Complex Mechanical Systems, by Jiasheng Shi et al.
Learning-Based Finite Element Methods Modeling for Complex Mechanical Systemsby Jiasheng Shi, Fu Lin, Weixiong RaoFirst…
Summary of Investigating Neuron Ablation in Attention Heads: the Case For Peak Activation Centering, by Nicholas Pochinkov et al.
Investigating Neuron Ablation in Attention Heads: The Case for Peak Activation Centeringby Nicholas Pochinkov, Ben…
Summary of Lasso-mogat: a Multi-omics Graph Attention Framework For Cancer Classification, by Fadi Alharbi et al.
LASSO-MOGAT: A Multi-Omics Graph Attention Framework for Cancer Classificationby Fadi Alharbi, Aleksandar Vakanski, Murtada K.…
Summary of Geometry Of Lightning Self-attention: Identifiability and Dimension, by Nathan W. Henry et al.
Geometry of Lightning Self-Attention: Identifiability and Dimensionby Nathan W. Henry, Giovanni Luca Marchetti, Kathlén KohnFirst…
Summary of A Survey Of the Self Supervised Learning Mechanisms For Vision Transformers, by Asifullah Khan et al.
A Survey of the Self Supervised Learning Mechanisms for Vision Transformersby Asifullah Khan, Anabia Sohail,…
Summary of A Great Architecture For Edge-based Graph Problems Like Tsp, by Attila Lischka et al.
A GREAT Architecture for Edge-Based Graph Problems Like TSPby Attila Lischka, Jiaming Wu, Morteza Haghir…
Summary of Gstam: Efficient Graph Distillation with Structural Attention-matching, by Arash Rasti-meymandi et al.
GSTAM: Efficient Graph Distillation with Structural Attention-Matchingby Arash Rasti-Meymandi, Ahmad Sajedi, Zhaopan Xu, Konstantinos N.…
Summary of Dlformer: Enhancing Explainability in Multivariate Time Series Forecasting Using Distributed Lag Embedding, by Younghwi Kim et al.
DLFormer: Enhancing Explainability in Multivariate Time Series Forecasting using Distributed Lag Embeddingby Younghwi Kim, Dohee…