{"total":33,"rows":[{"id":"2505.24832","title":"How much do language models memorize?","created":"2025-05-30","cited_by_count":61,"area":null},{"id":"2503.02113","title":"Deep Learning is Not So Mysterious or Different","created":"2025-03-03","cited_by_count":56,"area":null},{"id":"2501.17047","title":"How Linguistics Learned to Stop Worrying and Love the Language Models","created":"2025-01-28","cited_by_count":51,"area":null},{"id":"2402.01502","title":"Why do Random Forests Work? Understanding Tree Ensembles as Self-Regularizing Adaptive Smoothers","created":"2024-02-02","cited_by_count":15,"area":null},{"id":"2411.00247","title":"Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond","created":"2024-10-31","cited_by_count":9,"area":null},{"id":"2501.10077","title":"Double descent in quantum kernel methods","created":"2025-01-17","cited_by_count":9,"area":null},{"id":"2406.09366","title":"Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations","created":"2024-06-13","cited_by_count":8,"area":null},{"id":"2506.11135","title":"Large Language Models and Emergence: A Complex Systems Perspective","created":"2025-06-10","cited_by_count":7,"area":null},{"id":"2409.18842","title":"Classical Statistical (In-Sample) Intuitions Don't Generalize Well: A Note on Bias-Variance Tradeoffs, Overfitting and Moving from Fixed to Random Designs","created":"2024-09-27","cited_by_count":5,"area":null},{"id":"2407.09845","title":"Towards Understanding Epoch-wise Double descent in Two-layer Linear Neural Networks","created":"2024-07-13","cited_by_count":3,"area":null},{"id":"2502.18339","title":"Correlating and Predicting Human Evaluations of Language Models from Natural Language Processing Benchmarks","created":"2025-02-24","cited_by_count":3,"area":null},{"id":"2506.23286","title":"Not All Explanations for Deep Learning Phenomena Are Equally Valuable","created":"2025-06-29","cited_by_count":3,"area":null},{"id":"2410.01259","title":"Revisiting Optimism and Model Complexity in the Wake of Overparameterized Machine Learning","created":"2024-10-02","cited_by_count":2,"area":null},{"id":"2310.19653","title":"A Note on Generalization in Variational Autoencoders: How Effective Is Synthetic Data & Overparameterization?","created":"2023-10-30","cited_by_count":1,"area":null},{"id":"2311.01762","title":"Changing the Kernel During Training Leads to Double Descent in Kernel Regression","created":"2023-11-03","cited_by_count":1,"area":null},{"id":"2411.17961","title":"ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference","created":"2024-11-27","cited_by_count":1,"area":null},{"id":"2401.10686","title":"Manipulating Sparse Double Descent","created":"2024-01-19","cited_by_count":0,"area":null},{"id":"2409.14123","title":"Consistency for Large Neural Networks: Regression and Classification","created":"2024-09-21","cited_by_count":0,"area":null},{"id":"2505.11006","title":"Is Supervised Learning Really That Different from Unsupervised?","created":"2025-05-16","cited_by_count":0,"area":null},{"id":"2505.24668","title":"Impact of Bottleneck Layers and Skip Connections on the Generalization of Linear Denoising Autoencoders","created":"2025-05-30","cited_by_count":0,"area":null},{"id":"2509.25216","title":"Evaluating Double Descent in Machine Learning: Insights from Tree-Based Models Applied to a Genomic Prediction Task","created":"2025-09-22","cited_by_count":0,"area":null},{"id":"2512.09394","title":"Language models as tools for investigating the distinction between possible and impossible natural languages","created":"2025-12-10","cited_by_count":0,"area":null},{"id":"2512.12447","title":"Large language models have learned to use language","created":"2025-12-13","cited_by_count":0,"area":null},{"id":"2512.13441","title":"Large language models are not about natural language","created":"2025-12-15","cited_by_count":0,"area":null},{"id":"2512.14506","title":"Linguists should learn to love speech-based deep learning models","created":"2025-12-16","cited_by_count":0,"area":null},{"id":"2601.10421","title":"Are Language Models Models?","created":"2026-01-15","cited_by_count":0,"area":null},{"id":"2604.09466","title":"Across the Levels of Analysis: Explaining Predictive Processing in Humans Requires More Than Machine-Estimated Probabilities","created":"2026-04-10","cited_by_count":0,"area":null},{"id":"2604.09501","title":"You Can't Fight in Here! This is BBS!","created":"2026-04-10","cited_by_count":0,"area":null},{"id":"2605.10061","title":"Not-So-Strange Love: Language Models and Generative Linguistic Theories are More Compatible than They Appear","created":"2026-05-11","cited_by_count":0,"area":null},{"id":"2605.11841","title":"Minimax Rates and Spectral Distillation for Tree Ensembles","created":"2026-05-12","cited_by_count":0,"area":null},{"id":"2605.21167","title":"A Rigorous, Tractable Measure of Model Complexity","created":"2026-05-20","cited_by_count":0,"area":null},{"id":"2608.03386","title":"Benign interpolation and Occam's razor","created":"2026-08-04","cited_by_count":0,"area":null},{"id":"2610.04507","title":"LoRA's Second Descent Extends Beyond Parameter Parity","created":"2026-10-03","cited_by_count":0,"area":null}],"next_cursor":null}