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Preprint Sep 2026

SpatialSkill: Self-Evolving Skills for Cross-View Spatial Reasoning

Cross-view spatial reasoning requires a model to align different viewpoints into a coherent spatial representation, yet this ability remains challenging for vision-language models despite being natural to humans. Existing methods typically improve spatial reasoning by updating model weights, which keeps the acquired kn...

Rui-Fan Zuo, Guo-Cheng Hu, Wan-Shui Gan et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Learning to Prove, Not Just to Answer: Reinforcement Learning from Formal Verification for Natural-Language Logical Reasoning

Proof-R1 is proposed, an RL framework from formal verification that trains LLMs to construct verifiable proofs for natural-language logical reasoning and improves answer accuracy across three logical reasoning benchmarks and four backbone models and outperforms training-free agents and training-based methods in terms o...

Qi-Li Zhang, Qian-Ren Mao, Han-Ze Cai et al. · 0 citations

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