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Zi-Jia Wang

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#artificial intelligence Preprint Sep 2026

JusticeAxis: Benchmarking Legal Judgment between Rigid Rule Application and Ungrounded Discretion

A sound judgment applies the law to established facts and weighs the circumstances in which they arose. However, existing methods swing between rigid statute matching and ungrounded discretion, benchmarks score a label or a rubric, and the experience that would supply the balance stays unverified. We formalize legal ju...

Zheng-Kai Tu, Ming-Da Zhang, Zi-Jia Wang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

CollabFlow: Recursive Self-Improvement of Agent Collaboration

Recursive self-improvement (RSI) lets a system improve from its own outcomes; in LLM-based multi-agent systems, Agents refine one another within a task, and outcomes improve how they collaborate across tasks. However, existing multi-agent collaboration leaves this loop open: collaboration is pre-defined at the operator...

Xiao Huang, Ming-Da Zhang, Jun-Ming Zhang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

R$^2$ Flow: Recursive Self-Improvement via Recursive Skill Evolution

R$^2$ Flow is introduced, a recursive self-improvement framework that alternates policy learning, independent verification, and versioned skill-library updates on a shared-state orchestration graph that improves task accuracy and library-edit precision over heuristic orchestration, reinforcement learning, and skill-evo...

Ming-Da Zhang, Qian-Shuo Huang, Yan-Jin Li et al. · 0 citations

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