Author

Jia-Rui Wang

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Preprint Sep 2026

Evaluating the Evaluators: Diagnosing Large Multimodal Models for AI-Generated Image Assessment

With the rapid advancement of text-to-image (T2I) generation, robust evaluation becomes critical yet challenging, as traditional metrics fail to capture fine-grained alignment and generative artifacts. While large multimodal models (LMMs) are increasingly adopted as evaluators, existing benchmarks typically study seman...

Yu Zhao, Jia-Rui Wang, Hui-Yu Duan et al. · 0 citations

Review Aug 2026

Intern-S2-Preview: Scientific Agentic Foundation Model

Evaluations across scientific, multimodal, agentic, and general-purpose benchmarks show that Intern-S2-Preview-397B achieves competitive or leading results in multiple settings.

Lei Bai, Jiaqi Cao, Chiyu Chen et al. · 3 citations

Jul 2026

Memory Decoder at Scale: A Pretrained, Parametric Long-Term Memory

This work presents Memory Decoder at Scale, scaling memory models up to 6.9B parameters and pretraining them on 300B tokens, demonstrating that independently scaling pretrained memory offers a more parameter efficient path to improving language model performance.

Ru-Bin Wei, Jiaqi Cao, Jiarui Wang et al. · arXiv.org · 1 citation