{"total":19,"rows":[{"id":"2507.10524","title":"Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation","created":"2025-07-14","cited_by_count":133,"area":null},{"id":"2603.05498","title":"The Spike, the Sparse and the Sink: Anatomy of Massive Activations and Attention Sinks","created":"2026-03-05","cited_by_count":27,"area":null},{"id":"2510.16805","title":"Mixed-Precision Quantization for Language Models: Techniques and Prospects","created":"2025-10-19","cited_by_count":5,"area":null},{"id":"2512.17452","title":"KV Admission: Learning What to Write for Efficient Long-Context LLM Inference","created":"2025-12-19","cited_by_count":4,"area":null},{"id":"2604.22782","title":"Stochastic KV Routing: Enabling Adaptive Depth-Wise Cache Sharing","created":"2026-04-03","cited_by_count":4,"area":null},{"id":"2511.23319","title":"Every Token Counts: Generalizing 16M Ultra-Long Context in Large Language Models","created":"2025-11-28","cited_by_count":3,"area":null},{"id":"2407.15516","title":"Attention Is All You Need But You Don't Need All Of It For Inference of Large Language Models","created":"2024-07-22","cited_by_count":2,"area":null},{"id":"2409.11650","title":"Art and Science of Quantizing Large-Scale Models: A Comprehensive Overview","created":"2024-09-18","cited_by_count":2,"area":null},{"id":"2508.21394","title":"AI Compute Architecture and Evolution Trends","created":"2025-08-29","cited_by_count":1,"area":null},{"id":"2605.06105","title":"Shallow Prefill, Deep Decoding: Efficient Long-Context Inference via Layer-Asymmetric KV Visibility","created":"2026-05-07","cited_by_count":1,"area":null},{"id":"2606.02780","title":"Do Value Vectors in Deep Layers Need Context from the Residual Stream?","created":"2026-06-01","cited_by_count":1,"area":null},{"id":"2510.13860","title":"ShishuLM : Achieving Optimal and Efficient Parameterization with Low Attention Transformer Models","created":"2025-10-13","cited_by_count":0,"area":null},{"id":"2601.19089","title":"EPAS: Efficient Training with Progressive Activation Sharing","created":"2026-01-27","cited_by_count":0,"area":null},{"id":"2605.04489","title":"A Hybrid Method for Low-Resource Named Entity Recognition","created":"2026-05-06","cited_by_count":0,"area":null},{"id":"2607.20484","title":"The Devil is in the Spectrum: Mitigating Representation Collapse in LLMs via Topologically Regularized Side-Path","created":"2026-06-02","cited_by_count":0,"area":null},{"id":"2608.18486","title":"WhiteMatter: All-to-All Cross-Layer Connections via KV Source Mixing","created":"2026-08-19","cited_by_count":0,"area":null},{"id":"2609.28006","title":"Shared Global KV with Layer-Specific Local History","created":"2026-09-23","cited_by_count":0,"area":null},{"id":"2609.32759","title":"The Extender: A Log-Structured Transformer","created":"2026-09-26","cited_by_count":0,"area":null},{"id":"2609.38149","title":"Pretraining Latent Information Feedback Transformers with Teacher Supervision","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":null}