Summary of Can Stories Help Llms Reason? Curating Information Space Through Narrative, by Vahid Sadiri Javadi et al.
Can Stories Help LLMs Reason? Curating Information Space Through Narrativeby Vahid Sadiri Javadi, Johanne R.…
Summary of Hierarchical Mixture Of Experts: Generalizable Learning For High-level Synthesis, by Weikai Li et al.
Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesisby Weikai Li, Ding Wang, Zijian Ding,…
Summary of Humanizing the Machine: Proxy Attacks to Mislead Llm Detectors, by Tianchun Wang et al.
Humanizing the Machine: Proxy Attacks to Mislead LLM Detectorsby Tianchun Wang, Yuanzhou Chen, Zichuan Liu,…
Summary of Dual Space Training For Gans: a Pathway to Efficient and Creative Generative Models, by Beka Modrekiladze
Dual Space Training for GANs: A Pathway to Efficient and Creative Generative Modelsby Beka ModrekiladzeFirst…
Summary of Large Language Models For Financial Aid in Financial Time-series Forecasting, by Md Khairul Islam et al.
Large Language Models for Financial Aid in Financial Time-series Forecastingby Md Khairul Islam, Ayush Karmacharya,…
Summary of Mixture Of Parrots: Experts Improve Memorization More Than Reasoning, by Samy Jelassi et al.
Mixture of Parrots: Experts improve memorization more than reasoningby Samy Jelassi, Clara Mohri, David Brandfonbrener,…
Summary of Less Discriminatory Alternative and Interpretable Xgboost Framework For Binary Classification, by Andrew Pangia et al.
Less Discriminatory Alternative and Interpretable XGBoost Framework for Binary Classificationby Andrew Pangia, Agus Sudjianto, Aijun…
Summary of Newton Losses: Using Curvature Information For Learning with Differentiable Algorithms, by Felix Petersen et al.
Newton Losses: Using Curvature Information for Learning with Differentiable Algorithmsby Felix Petersen, Christian Borgelt, Tobias…
Summary of An Investigation on Machine Learning Predictive Accuracy Improvement and Uncertainty Reduction Using Vae-based Data Augmentation, by Farah Alsafadi et al.
An Investigation on Machine Learning Predictive Accuracy Improvement and Uncertainty Reduction using VAE-based Data Augmentationby…
Summary of Target Strangeness: a Novel Conformal Prediction Difficulty Estimator, by Alexis Bose et al.
Target Strangeness: A Novel Conformal Prediction Difficulty Estimatorby Alexis Bose, Jonathan Ethier, Paul GuinandFirst submitted…