Summary of Small Language Models: Survey, Measurements, and Insights, by Zhenyan Lu et al.
Small Language Models: Survey, Measurements, and Insightsby Zhenyan Lu, Xiang Li, Dongqi Cai, Rongjie Yi,…
Summary of Looped Transformers For Length Generalization, by Ying Fan et al.
Looped Transformers for Length Generalizationby Ying Fan, Yilun Du, Kannan Ramchandran, Kangwook LeeFirst submitted to…
Summary of Double-path Adaptive-correlation Spatial-temporal Inverted Transformer For Stock Time Series Forecasting, by Wenbo Yan and Ying Tan
Double-Path Adaptive-correlation Spatial-Temporal Inverted Transformer for Stock Time Series Forecastingby Wenbo Yan, Ying TanFirst submitted…
Summary of Aste Transformer Modelling Dependencies in Aspect-sentiment Triplet Extraction, by Iwo Naglik and Mateusz Lango
ASTE Transformer Modelling Dependencies in Aspect-Sentiment Triplet Extractionby Iwo Naglik, Mateusz LangoFirst submitted to arxiv…
Summary of Hydrovision: Lidar-guided Hydrometric Prediction with Vision Transformers and Hybrid Graph Learning, by Naghmeh Shafiee Roudbari et al.
HydroVision: LiDAR-Guided Hydrometric Prediction with Vision Transformers and Hybrid Graph Learningby Naghmeh Shafiee Roudbari, Ursula…
Summary of Efficiently Dispatching Flash Attention For Partially Filled Attention Masks, by Agniv Sharma and Jonas Geiping
Efficiently Dispatching Flash Attention For Partially Filled Attention Masksby Agniv Sharma, Jonas GeipingFirst submitted to…
Summary of Echoatt: Attend, Copy, Then Adjust For More Efficient Large Language Models, by Hossein Rajabzadeh et al.
EchoAtt: Attend, Copy, then Adjust for More Efficient Large Language Modelsby Hossein Rajabzadeh, Aref Jafari,…
Summary of Edsnet: Efficient-dsnet For Video Summarization, by Ashish Prasad et al.
EDSNet: Efficient-DSNet for Video Summarizationby Ashish Prasad, Pranav Jeevan, Amit SethiFirst submitted to arxiv on:…
Summary of Kriformer: a Novel Spatiotemporal Kriging Approach Based on Graph Transformers, by Renbin Pan et al.
Kriformer: A Novel Spatiotemporal Kriging Approach Based on Graph Transformersby Renbin Pan, Feng Xiao, Hegui…
Summary of Sparse Low-ranked Self-attention Transformer For Remaining Useful Lifetime Prediction Of Optical Fiber Amplifiers, by Dominic Schneider et al.
Sparse Low-Ranked Self-Attention Transformer for Remaining Useful Lifetime Prediction of Optical Fiber Amplifiersby Dominic Schneider,…