Skip to content

Author

Ming Zhang

We have 4 of 14 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#artificial intelligence Preprint Oct 2026

Does Your Generalist Skill Optimizer Really Incentivize Agentic Tasks? Rethinking Skill Optimization via Bipartite Attribution

BiPA is introduced, which replays an optimizer's acceptance rule on candidates identical to its seed to measure what selection alone reports, and records each episode as a bipartite graph of turns and the text they read to trace extra input tokens to the behavior behind them.

Jia-Wei Zhou, Bo Peng, Yuxuan Huang et al. · 0 citations
Jul 2026

OxygenREC-v2: Internalizing Discrimination into Generative Recommendation

OxygenREC-v2 is proposed, a generative recommender that Internalizes Discrimination into Generative Recommendation (IDGR) and is implemented as a 3B-parameter, 1B-activated MoE and deployed on JD.com's large-scale e-commerce platform.

Guoyu Tang, Hanye Wu, Changjiang Han et al. · 0 citations
#machine learning Preprint Aug 2026

Safin-1: Safety from Within through Memory-Native State Evolution

The routed-state interface unifies contextual memory and persistent capability adaptation within the model's native computation, reframing memory from a passive record of prior context into an active substrate for maintaining and evolving model behavior.

Ming Zhang, Kai-Sen Yang, Shu Yu et al. · 0 citations
Preprint Aug 2026

MARCH: Scaling Recurrent Memory with Content-Routed State Anchors

Memory-Anchor Routing across Context History (MARCH), a network architecture that effectively scales state-space models beyond a fixed-size dimension, while maintaining computational efficiency over long-sequences, is introduced.

Ming Zhang, Kai-Sen Yang, Shu Yu et al. · 1 citation

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.