{"total":25,"rows":[{"id":"2407.15720","title":"Do Large Language Models Have Compositional Ability? An Investigation into Limitations and Scalability","created":"2024-07-22","cited_by_count":40,"area":null},{"id":"2408.13233","title":"Multi-Layer Transformers Gradient Can be Approximated in Almost Linear Time","created":"2024-08-23","cited_by_count":22,"area":null},{"id":"2410.09375","title":"Looped ReLU MLPs May Be All You Need as Practical Programmable Computers","created":"2024-10-12","cited_by_count":19,"area":null},{"id":"2412.18040","title":"Theoretical Constraints on the Expressive Power of $\\mathsf{RoPE}$-based Tensor Attention Transformers","created":"2024-12-23","cited_by_count":12,"area":null},{"id":"2406.14036","title":"Towards Infinite-Long Prefix in Transformer","created":"2024-06-20","cited_by_count":10,"area":null},{"id":"2501.04299","title":"Circuit Complexity Bounds for Visual Autoregressive Model","created":"2025-01-08","cited_by_count":10,"area":null},{"id":"2502.16490","title":"On Computational Limits of FlowAR Models: Expressivity and Efficiency","created":"2025-02-23","cited_by_count":10,"area":null},{"id":"2505.04946","title":"T2VTextBench: A Human Evaluation Benchmark for Textual Control in Video Generation Models","created":"2025-05-08","cited_by_count":10,"area":null},{"id":"2505.11892","title":"Fast RoPE Attention: Combining the Polynomial Method and Fast Fourier Transform","created":"2025-05-17","cited_by_count":9,"area":null},{"id":"2406.13046","title":"Bayesian-LoRA: LoRA based Parameter Efficient Fine-Tuning using Optimal Quantization levels and Rank Values trough Differentiable Bayesian Gates","created":"2024-06-18","cited_by_count":8,"area":null},{"id":"2505.00598","title":"Fast and Low-Cost Genomic Foundation Models via Outlier Removal","created":"2025-05-01","cited_by_count":8,"area":null},{"id":"2505.16284","title":"Only Large Weights (And Not Skip Connections) Can Prevent the Perils of Rank Collapse","created":"2025-05-22","cited_by_count":7,"area":null},{"id":"2407.09835","title":"Investigating Low-Rank Training in Transformer Language Models: Efficiency and Scaling Analysis","created":"2024-07-13","cited_by_count":6,"area":null},{"id":"2503.01314","title":"Scaling Law Phenomena Across Regression Paradigms: Multiple and Kernel Approaches","created":"2025-03-03","cited_by_count":4,"area":null},{"id":"2505.19531","title":"Minimalist Softmax Attention Provably Learns Constrained Boolean Functions","created":"2025-05-26","cited_by_count":4,"area":null},{"id":"2409.01688","title":"Differentially Private Kernel Density Estimation","created":"2024-09-03","cited_by_count":3,"area":null},{"id":"2502.16912","title":"When Can We Solve the Weighted Low Rank Approximation Problem in Truly Subquadratic Time?","created":"2025-02-24","cited_by_count":3,"area":null},{"id":"2506.12220","title":"Two Heads Are Better than One: Simulating Large Transformers with Small Ones","created":"2025-06-13","cited_by_count":2,"area":null},{"id":"2607.27680","title":"Tight Sample Complexity for Low-Rank Adaptation: Matching Bounds and Rank Selection","created":"2026-07-30","cited_by_count":2,"area":null},{"id":"2506.15251","title":"Singular Value Decomposition on Kronecker Adaptation for Large Language Model","created":"2025-06-18","cited_by_count":1,"area":null},{"id":"2501.19050","title":"Norm-Bounded Low-Rank Adaptation","created":"2025-01-31","cited_by_count":0,"area":null},{"id":"2507.14017","title":"Efficient Temporal Tokenization for Mobility Prediction with Large Language Models","created":"2025-07-18","cited_by_count":0,"area":null},{"id":"2510.05494","title":"Fundamental Limits of Crystalline Equivariant Graph Neural Networks: A Circuit Complexity Perspective","created":"2025-10-07","cited_by_count":0,"area":null},{"id":"2602.23533","title":"Few-Shot Continual Learning for 3D Brain MRI with Frozen Foundation Models","created":"2026-02-26","cited_by_count":0,"area":null},{"id":"2604.09096","title":"Off-the-shelf Vision Models Benefit Image Manipulation Localization","created":"2026-04-10","cited_by_count":0,"area":null}],"next_cursor":null}