X-MoD: Practical Scaling Laws for Sparse-Depth Routing Beyond Mixture-of-Depths
cs.LG, cs.CL
Submitted: 2026-09-28
Updated: 2026-09-28
Terminology
Sources
- Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
- Less is More: Recursive Reasoning with Tiny Networks
- Scaling Laws for Neural Language Models
- Shortened LLaMA: Depth Pruning for Large Language Models with Comparison of Retraining Methods
- Kimi K3: Open Frontier Intelligence
- MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts
- Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
- Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
- Qwen3 Technical Report
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