Papers

Deep, long-form breakdowns of recent research in AI, machine learning, security & programming languages.

All ai machine learning cybersecurity scraping programming languages technology Important
machine learning Oct 02 Muon meets Tamed Langevin: Momentum Preconditioning beyond Convex and gradient-Lipschitz Potentials by Nikolaos Makras, Sotirios Sabanis machine learning Oct 02 Faynt: Scaling and Optimizing Policies for Competitive Melee by Ali Janati, Nikita Kuzmin, Rohit Swamy, Charles Niu machine learning Oct 02 Finetuning with Sampling: SFT Learns Better Than You Think by Aayush Karan, Sitan Chen, Yilun Du programming languages Oct 02 MIRTO: a registration-gated, multiverse-tested evaluation protocol for unsupervised anomaly segmentation in brain MRI by Negin Kafee Hernashki, Soumick Chatterjee machine learning Oct 02 Linear Programming Representations and Strongly Polynomial Algorithms for Robust Markov Decision Processes by Han Zhong, Yinyu Ye machine learning Oct 02 Local Support Learning by Assaf Ben-Kish, Akarsh Kumar, James Glass, Raja Giryes ai Oct 02 Harnessing Domain Specialists in Multimodal Mixture-of-Experts for Efficient Adaptation by Damiano Marsili, Raphi Kang, Aditya Mehta, Pietro Perona, Georgia Gkioxari programming languages Oct 02 Argo-Bench: Evaluating Data Agents on Enterprise-Scale Workflows by Gabriel Tomitsuka, Arman Raayatsanati, Emma Xing, Duke Gand, Joseph J Ma ai Oct 02 Where-OPD: Spatially Guided On-Policy Self-Distillation of MLLMs with Synthetic Scenes by Sophia Sirko-Galouchenko, Monika Wysoczanska, Andrei Bursuc, Nicolas Thome, Spyros Gidaris ai Oct 02 A Comparative Explainability Framework for DeBERTa-v3 in Zero-Shot Medical Abstract Classification by Javier Diaz Esteban-Herreros, David Muñoz-Valero, Raquel Martínez-España, Jose M. Juarez, Juan Moreno-Garcia