arxiv
PublishedJune 18, 2026 at 4:00 AM
—neutral
Sparsity Curse: Understanding RLVR Model Parameter Space from Model Merging
Publisher summary· verbatim
arXiv:2606.18521v1 Announce Type: cross Abstract: Reinforcement Learning with Verifiable Reward (RLVR) has emerged as a powerful post-training paradigm that surpasses Supervised Fine-Tuning (SFT) in eliciting reasoning intelligence and resisting catastrophic forgetting. Recent studies further reveal
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Originally published on arxiv ↗