{"total":19,"rows":[{"id":"2406.06484","title":"Parallelizing Linear Transformers with the Delta Rule over Sequence Length","created":"2024-06-10","cited_by_count":396,"area":null},{"id":"2402.09748","title":"Model Compression and Efficient Inference for Large Language Models: A Survey","created":"2024-02-15","cited_by_count":64,"area":null},{"id":"2409.16694","title":"A Survey of Low-bit Large Language Models: Basics, Systems, and Algorithms","created":"2024-09-25","cited_by_count":31,"area":null},{"id":"2602.04852","title":"On State Reduction in Linear Attention","created":"2026-02-04","cited_by_count":6,"area":null},{"id":"2406.08128","title":"Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences","created":"2024-06-12","cited_by_count":5,"area":null},{"id":"2404.11163","title":"LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory","created":"2024-04-17","cited_by_count":4,"area":null},{"id":"2501.12381","title":"Parallel Sequence Modeling via Generalized Spatial Propagation Network","created":"2025-01-21","cited_by_count":4,"area":null},{"id":"2510.20984","title":"Learning Grouped Lattice Vector Quantizers for Low-Bit LLM Compression","created":"2025-10-23","cited_by_count":4,"area":null},{"id":"2503.06482","title":"PathVQ: Reforming Computational Pathology Foundation Model for Whole Slide Image Analysis via Vector Quantization","created":"2025-03-09","cited_by_count":3,"area":null},{"id":"2410.06722","title":"Scaling Laws For Mixed Quantization","created":"2024-10-09","cited_by_count":2,"area":null},{"id":"2602.11958","title":"RAM-Net: Linear-Time Sequence Modeling with Sparsely Addressable State","created":"2026-02-12","cited_by_count":2,"area":null},{"id":"2402.06492","title":"Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings","created":"2024-02-09","cited_by_count":1,"area":null},{"id":"2410.23608","title":"Context-Aware Token Selection and Packing for Enhanced Vision Transformer","created":"2024-10-31","cited_by_count":1,"area":null},{"id":"2602.03922","title":"Online Vector Quantized Attention","created":"2026-02-03","cited_by_count":1,"area":null},{"id":"2602.10994","title":"Interpretable Vision Transformers in Image Classification via SVDA","created":"2026-02-11","cited_by_count":1,"area":null},{"id":"2607.12789","title":"AVQ-Attention: Adaptive Vector-Quantized Attention","created":"2026-07-14","cited_by_count":1,"area":null},{"id":"2507.09612","title":"Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive","created":"2025-07-13","cited_by_count":0,"area":null},{"id":"2606.28405","title":"Enhancing Layer Interaction Using Key-Correlated Layer Attention","created":"2026-06-24","cited_by_count":0,"area":null},{"id":"2609.33746","title":"PQ-HSA: Reusing Product-Quantized Scores for Hybrid Sparse-Approximate Attention","created":"2026-09-27","cited_by_count":0,"area":null}],"next_cursor":null}