{"total":19,"rows":[{"id":"2506.09251","title":"Extrapolation by Association: Length Generalization Transfer in Transformers","created":"2025-06-10","cited_by_count":13,"area":null},{"id":"2502.11525","title":"Beyond Single-Task: Robust Multi-Task Length Generalization for LLMs","created":"2025-02-17","cited_by_count":7,"area":null},{"id":"2505.21785","title":"Born a Transformer -- Always a Transformer? On the Effect of Pretraining on Architectural Abilities","created":"2025-05-27","cited_by_count":6,"area":null},{"id":"2504.12991","title":"A Theoretical Framework for OOD Robustness in Transformers using Gevrey Classes","created":"2025-04-17","cited_by_count":4,"area":null},{"id":"2510.14826","title":"To Infinity and Beyond: Tool-Use Unlocks Length Generalization in State Space Models","created":"2025-10-16","cited_by_count":4,"area":null},{"id":"2606.29983","title":"Stabilizing Extrapolation in Looped Transformers via Learned Stochastic Stopping","created":"2026-06-29","cited_by_count":4,"area":null},{"id":"2503.10542","title":"Language Models, Graph Searching, and Supervision Adulteration: When More Supervision is Less and How to Make More More","created":"2025-03-13","cited_by_count":3,"area":null},{"id":"2603.19954","title":"On the Ability of Transformers to Verify Plans","created":"2026-03-20","cited_by_count":2,"area":null},{"id":"2511.22751","title":"Exact Learning of Arithmetic with Differentiable Agents","created":"2025-11-27","cited_by_count":1,"area":null},{"id":"2512.00564","title":"Pre-Generating Multi-Difficulty PDE Data for Few-Shot Neural PDE Solvers","created":"2025-11-29","cited_by_count":1,"area":null},{"id":"2512.12805","title":"From Small to Large: Generalization Bounds for Transformers on Variable-Size Inputs","created":"2025-12-14","cited_by_count":1,"area":null},{"id":"2603.26828","title":"Arithmetic OOD Failure Unfolds in Stages in Minimal GPTs","created":"2026-03-27","cited_by_count":1,"area":null},{"id":"2604.25166","title":"Training Transformers as a Universal Computer","created":"2026-04-28","cited_by_count":1,"area":null},{"id":"2605.26035","title":"Length Generalization with Log-Depth Recurrent Units","created":"2026-05-25","cited_by_count":1,"area":null},{"id":"2506.00920","title":"Position as Probability: Self-Supervised Transformers that Think Past Their Training for Length Extrapolation","created":"2025-06-01","cited_by_count":0,"area":null},{"id":"2510.04130","title":"On the Limitations and Capabilities of Position Embeddings for Length Generalization","created":"2025-10-05","cited_by_count":0,"area":null},{"id":"2605.08022","title":"Convex Optimization of Spiking Neural Networks with Global and Approximation Guarantees","created":"2026-05-08","cited_by_count":0,"area":null},{"id":"2607.18759","title":"Relative Positions Generalize, Absolute Positions Memorize: An Implicit-Bias Account of Length Generalization in Attention","created":"2026-07-21","cited_by_count":0,"area":null},{"id":"2610.16653","title":"Counting with Attention and LayerNorm: Norm Scaling and Representation Geometry","created":"2026-10-12","cited_by_count":0,"area":null}],"next_cursor":null}