Summary of Are Large Language Models In-context Personalized Summarizers? Get An Icopernicus Test Done!, by Divya Patel et al.
Are Large Language Models In-Context Personalized Summarizers? Get an iCOPERNICUS Test Done!by Divya Patel, Pathik…
Summary of Basis-to-basis Operator Learning Using Function Encoders, by Tyler Ingebrand et al.
Basis-to-Basis Operator Learning Using Function Encodersby Tyler Ingebrand, Adam J. Thorpe, Somdatta Goswami, Krishna Kumar,…
Summary of (almost) Smooth Sailing: Towards Numerical Stability Of Neural Networks Through Differentiable Regularization Of the Condition Number, by Rossen Nenov et al.
(Almost) Smooth Sailing: Towards Numerical Stability of Neural Networks Through Differentiable Regularization of the Condition…
Summary of Evaluating the Fairness Of Task-adaptive Pretraining on Unlabeled Test Data Before Few-shot Text Classification, by Kush Dubey
Evaluating the fairness of task-adaptive pretraining on unlabeled test data before few-shot text classificationby Kush…
Summary of Gandlf-synth: a Framework to Democratize Generative Ai For (bio)medical Imaging, by Sarthak Pati et al.
GaNDLF-Synth: A Framework to Democratize Generative AI for (Bio)Medical Imagingby Sarthak Pati, Szymon Mazurek, Spyridon…
Summary of Characterizing and Efficiently Accelerating Multimodal Generation Model Inference, by Yejin Lee et al.
Characterizing and Efficiently Accelerating Multimodal Generation Model Inferenceby Yejin Lee, Anna Sun, Basil Hosmer, Bilge…
Summary of Probabilistic Classification Of Near-surface Shallow-water Sediments Using a Portable Free-fall Penetrometer, by Md Rejwanur Rahman et al.
Probabilistic Classification of Near-Surface Shallow-Water Sediments using A Portable Free-Fall Penetrometerby Md Rejwanur Rahman, Adrian…
Summary of Demonstrating the Continual Learning Capabilities and Practical Application Of Discrete-time Active Inference, by Rithvik Prakki
Demonstrating the Continual Learning Capabilities and Practical Application of Discrete-Time Active Inferenceby Rithvik PrakkiFirst submitted…
Summary of Preconditioning For Accelerated Gradient Descent Optimization and Regularization, by Qiang Ye
Preconditioning for Accelerated Gradient Descent Optimization and Regularizationby Qiang YeFirst submitted to arxiv on: 30…
Summary of Stochastic Inverse Problem: Stability, Regularization and Wasserstein Gradient Flow, by Qin Li et al.
Stochastic Inverse Problem: stability, regularization and Wasserstein gradient flowby Qin Li, Maria Oprea, Li Wang,…