Author

Jian Luan

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Jul 2026

Switch-Reasoner: Learn When to Think in Multitask Mixtures via Reinforcement Learning

Switch-Reasoner is proposed, a GRPO-based framework that learns to adaptively select reasoning modes for MLLMs and introduces a dual-level regulation mechanism that balances the overall use of Thinking Mode and Direct Mode while providing sample-level supervision based on the relative benefit of the two choices.

Yiyang Fang, Pei Fu, Jinjie Li et al. · arXiv.org · 0 citations

Preprint Jul 2026

DeltaV: Thinking with Visual State Updates in Unified Large Multimodal Models

DeltaV is proposed, a ULMM that replaces full-image generation with visual updates and introduces a temporal similarity (TSIM) Router, which stops allocating tokens once the marginal reconstruction gain falls below a threshold.

Pengjie Wang, Linger Deng, Zujian Zhang et al. · 1 citation