NeuronSpark: Selective Spiking State Space Models with Adaptive Computation for Language Modeling
cs.AI
Submitted: 2026-03-17
Updated: 2026-10-09
Code: https://github.com/Brain2nd/NeuronSpark-V1
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Training Deep Nets with Sublinear Memory Cost
- Adaptive Computation Time for Recurrent Neural Networks
- SpikeBERT: A Language Spikformer Learned from BERT with Knowledge Distillation
- GLU Variants Improve Transformer
- LLaMA: Open and Efficient Foundation Language Models
- Qwen3 Technical Report
Related papers
- MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
- Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
- Agents' Last Exam
- The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
- MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
- Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems