QAM: Quadratic-Accurate Checkpoint Merging via Sequential Consistency
cs.LG, cs.AI
Submitted: 2026-09-28
Updated: 2026-09-28
Terminology
Sources
- Editing Models with Task Arithmetic
- Averaging Weights Leads to Wider Optima and Better Generalization
- Merging Models with Fisher-Weighted Averaging
- Anytime Pretraining: Horizon-Free Learning-Rate Schedules with Weight Averaging
- Training trajectories, mini-batch losses and the curious role of the learning rate
- Early Weight Averaging meets High Learning Rates for LLM Pre-training
- WSM: Decay-Free Learning Rate Schedule via Checkpoint Merging for LLM Pre-training
- TIES-Merging: Resolving Interference When Merging Models
- Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
- Training Verifiers to Solve Math Word Problems
- Measuring Massive Multitask Language Understanding
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