{"total":26,"rows":[{"id":"2409.08290","title":"Reconsidering the Energy Efficiency of Spiking Neural Networks Inference from Analytical Perspectives","created":"2024-08-29","cited_by_count":13,"area":null},{"id":"2409.02111","title":"Toward Large-scale Spiking Neural Networks: A Comprehensive Survey and Future Directions","created":"2024-08-19","cited_by_count":7,"area":null},{"id":"2509.18968","title":"Otters: An Energy-Efficient SpikingTransformer via Optical Time-to-First-Spike Encoding","created":"2025-09-23","cited_by_count":5,"area":null},{"id":"2512.11843","title":"Spiking Manifesto","created":"2025-12-03","cited_by_count":4,"area":null},{"id":"2601.00679","title":"QSLM: A Performance- and Memory-aware Quantization Framework with Tiered Search Strategy for Spike-driven Language Models","created":"2026-01-02","cited_by_count":3,"area":null},{"id":"2506.23717","title":"Towards Efficient and Accurate Spiking Neural Networks via Adaptive Bit Allocation","created":"2025-06-30","cited_by_count":2,"area":null},{"id":"2507.14069","title":"Edge Intelligence with Spiking Neural Networks","created":"2025-07-18","cited_by_count":2,"area":null},{"id":"2508.20122","title":"Spatio-Temporal Pruning for Compressed Spiking Large Language Models","created":"2025-08-23","cited_by_count":2,"area":null},{"id":"2511.07883","title":"SpikCommander: A High-performance Spiking Transformer with Multi-view Learning for Efficient Speech Command Recognition","created":"2025-11-11","cited_by_count":2,"area":null},{"id":"2601.00245","title":"Modern Neuromorphic AI: From Intra-Token to Inter-Token Processing","created":"2026-01-01","cited_by_count":2,"area":null},{"id":"2604.22575","title":"SpikingBrain2.0: Brain-Inspired Foundation Models for Efficient Long-Context and Cross-Platform Inference","created":"2026-04-24","cited_by_count":2,"area":null},{"id":"2505.17674","title":"SVL: Empowering Spiking Neural Networks for Efficient 3D Open-World Understanding","created":"2025-05-23","cited_by_count":1,"area":null},{"id":"2602.08817","title":"Kirin: Improving ANN efficiency with SNN Hybridization","created":"2026-02-09","cited_by_count":1,"area":null},{"id":"2605.13859","title":"BiSpikCLM: A Spiking Language Model integrating Softmax-Free Spiking Attention and Spike-Aware Alignment Distillation","created":"2026-04-14","cited_by_count":1,"area":null},{"id":"2605.21333","title":"SymbolicLight V1: Spike-Gated Dual-Path Language Modeling at High Encoder Spike Sparsity","created":"2026-05-20","cited_by_count":1,"area":null},{"id":"2510.20683","title":"A Scalable, Causal, and Energy Efficient Framework for Neural Decoding with Spiking Neural Networks","created":"2025-10-23","cited_by_count":0,"area":null},{"id":"2601.21279","title":"NEXUS: Bit-Exact ANN-to-SNN Equivalence via Neuromorphic Gate Circuits with Surrogate-Free Training","created":"2026-01-29","cited_by_count":0,"area":null},{"id":"2601.21503","title":"MAR: Efficient Large Language Models via Module-aware Architecture Refinement","created":"2026-01-29","cited_by_count":0,"area":null},{"id":"2601.22876","title":"Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers","created":"2026-01-30","cited_by_count":0,"area":null},{"id":"2604.16475","title":"Spike-driven Large Language Model","created":"2026-04-11","cited_by_count":0,"area":null},{"id":"2606.12895","title":"LongSpike: Fractional Order Spiking State Space Models for Efficient Long Sequence Learning","created":"2026-06-11","cited_by_count":0,"area":null},{"id":"2606.13016","title":"Otters++: A Time-to-first-spike Based Energy Efficient Optical Spiking Transformer","created":"2026-06-11","cited_by_count":0,"area":null},{"id":"2609.05151","title":"Large Language Models with At Most One Spike per Neuron","created":"2026-09-04","cited_by_count":0,"area":null},{"id":"2609.13899","title":"URCHIN: A Horizontal Spiking Language Model for Data-Constrained Pretraining","created":"2026-09-12","cited_by_count":0,"area":null},{"id":"2609.34259","title":"QuantaSpike: Short-Window Spike-Driven Quantization for Large Language Models","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2610.15146","title":"Compute-Optimal Scaling Laws for Spiking Language Models","created":"2026-10-10","cited_by_count":0,"area":null}],"next_cursor":null}