Author

Siyu Yan

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#artificial intelligence Preprint Oct 2026

Sage-A1.5: From Long-Horizon Execution to Scientific Exploration with Capability Composition

In this report, we introduce Sage-A1.5, a 35B Mixture-of-Experts agentic model that builds on A1 to advance long-horizon problem solving through adaptive capability composition. Compared with A1, Sage-A1.5 learns not only to solve individual tasks, but also to organize work and revise its approach during execution. Sag...

Wenjie Lou, Tian-Shuo Peng, Shi-Yang Feng et al. · 0 citations

#artificial intelligence Conference Feb 2025

AgentRM: Enhancing Agent Generalization with Reward Modeling

This work finds that finetuning a reward model to guide the policy model is more robust than directly finetuning the policy model, and proposes AgentRM, a generalizable reward model, to guide the policy model for effective test-time search.

Yu Xia, Jing-Ru Fan, Weize Chen et al. · Annual Meeting of the Associ... · 26 citations · ⚡3

Jul 2026

See2Think: Do Multimodal Models Really Use Intermediate Visual States?

Evaluating representative proprietary and open-source multimodal models, it is found that visual reasoning is strongly model- and environment-dependent, with no single setting consistently dominating across tasks.

Siyu Yan, Zhuoran Yan, Haiying Xu et al. · arXiv.org · 0 citations