Author

Cheng Tang

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Jul 2026

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning

SIVA-RL is proposed, a Sensitivity-Invariance Visual Alignment framework that replaces operator-conditioned regularization with sample-wise, outcome-conditioned supervision and yields an 8.79 percentage-point gain on vision-dependent reasoning and up to 14.9% relative overall improvement across all four GRPO- and DAPO-...

Cheng Tang, Junzhi Ning, Min Cen et al. · arXiv.org · 0 citations

#artificial intelligence Review Apr 2026

D3-Gym: Constructing Real-World Verifiable Environments for Data-Driven Discovery

D3-Gym is introduced, the first automatically constructed dataset with verifiable environments for scientific Data-Driven Discovery, and how D3-Gym environments can serve as a testbed for studying agentic optimization loops such as Autoresearch on real scientific workflows.

Hanane Nour Moussa, Yi-Fei Li, Zhuo-Yang Li et al. · arXiv.org · 0 citations

Preprint Jul 2026

EvoGraph-R1: Self-Evolving Multimodal Knowledge Hypergraphs for Agentic Retrieval

EvoGraph-R1 is introduced, a self-evolving GraphRAG framework that reconceptualizes knowledge graphs as dynamic environments shaped through agent interactions, establishing self-evolving knowledge graphs as a fundamental paradigm across modalities.

Jiashi Lin, Changhong Jiang, Xiangru Lin et al. · 1 citation