SMAT: Simple and Efficient Merge-Aware Training
cs.LG, cs.CL
Submitted: 2026-09-27
Updated: 2026-10-08
Code: https://github.com/egangu/smat
Terminology
Sources
- InfiFPO: Implicit Model Fusion via Preference Optimization in Large Language Models
- FeatCal: Feature Calibration for Post-Merging Models
- HyperG: Hypergraph-Enhanced LLMs for Structured Knowledge
- E-PMQ: Expert-Guided Post-Merge Quantization with Merged-Weight Anchoring
- InfiGFusion: Graph-on-Logits Distillation via Efficient Gromov-Wasserstein for Model Fusion
- MergePipe: A Budget-Aware Parameter Management System for Scalable LLM Merging
- Model Merging Scaling Laws in Large Language Models
- Not All Disagreement Is Learnable: Token Teachability in On-Policy Distillation
- Geometry Conflict: Explaining and Controlling Forgetting in LLM Continual Post-Training
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