{"total":13,"rows":[{"id":"2505.06708","title":"Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free","created":"2025-05-10","cited_by_count":283,"area":"moe"},{"id":"2502.13189","title":"MoBA: Mixture of Block Attention for Long-Context LLMs","created":"2025-02-18","cited_by_count":198,"area":"moe"},{"id":"2505.09343","title":"Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures","created":"2025-05-14","cited_by_count":39,"area":"moe"},{"id":"2505.00315","title":"Mixture of Sparse Attention: Content-Based Learnable Sparse Attention via Expert-Choice Routing","created":"2025-05-01","cited_by_count":14,"area":"moe"},{"id":"2505.11415","title":"MoE-CAP: Benchmarking Cost, Accuracy and Performance of Sparse Mixture-of-Experts Systems","created":"2025-05-16","cited_by_count":11,"area":"moe"},{"id":"2602.03560","title":"HySparse: A Hybrid Sparse Attention Architecture with Oracle Token Selection and KV Cache Sharing","created":"2026-02-03","cited_by_count":10,"area":"moe"},{"id":"2510.04476","title":"Compressed Convolutional Attention: Efficient Attention in a Compressed Latent Space","created":"2025-10-06","cited_by_count":5,"area":"moe"},{"id":"2607.14530","title":"xHC: Expanded Hyper-Connections","created":"2026-07-16","cited_by_count":4,"area":"moe"},{"id":"2504.09345","title":"MoE-Lens: Towards the Hardware Limit of High-Throughput MoE LLM Serving Under Resource Constraints","created":"2025-04-12","cited_by_count":3,"area":"moe"},{"id":"2602.01219","title":"Mixture-of-Top-k Attention: Efficient Attention via Scalable Fast Weights","created":"2026-02-01","cited_by_count":2,"area":"moe"},{"id":"2503.02495","title":"Union of Experts: Adapting Hierarchical Routing to Equivalently Decomposed Transformer","created":"2025-03-04","cited_by_count":1,"area":"moe"},{"id":"2606.07404","title":"Reversible Foundations: Training a 120B Sparse MoE through State-Preserving Scaling","created":"2026-06-05","cited_by_count":0,"area":"moe"},{"id":"2609.34212","title":"X-MoD: Practical Scaling Laws for Sparse-Depth Routing Beyond Mixture-of-Depths","created":"2026-09-28","cited_by_count":0,"area":"moe"}],"next_cursor":null}