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Fei-Da Zhu

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#artificial intelligence Preprint Jul 2026

Omni-Decision: Evidence-Ledger Planning for Omni-Modal Agents

Omni-Decision is presented, an omni-modal agent built on evidence-ledger planning: it replaces the growing dialogue history with an explicit evidence ledger that records what evidence is still missing, what has been confirmed, and where records conflict.

Ming Ma, Yi Zhu, Yi-Ran Zhong et al. · 0 citations
#machine learning Preprint Sep 2026

ProCredit: From Outcome Rewards to Progress Credit in Agentic Reinforcement Learning

Long-horizon agentic tasks require an agent to modify an environment through a sequence of tool calls, with success determined by the final state. The standard recipe assigns a single outcome reward at the end and compares trajectories sampled for the same task. As a result, a group with no successful trajectory yields...

Ming Ma, Yi Zhu, Yi-Ran Zhong et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Block-Sparse Attention with Semantic-Geometric Decoupled Routing

Semantic-Geometric Decoupled Routing is proposed, a training-free block routing framework that shifts semantic aggregation to the pre-RoPE space and reconstructs geometric bias with an offline structural prior and relative block distances and yields an explicit closed-form block routing score without token-level search...

Xin-Wei Long, Wei-Gao Sun, Wei-Bo Gao et al. · 0 citations
Preprint Aug 2026

MobilePA-Bench: Benchmarking Mobile Planner Agents on Complex Real-World Tasks

By pairing an interactive function-calling sandbox with evidence-based verification, MobilePA-Bench serves as both a practical diagnostic benchmark and an interactive foundation for agentic reinforcement learning---accelerating the development of dependable mobile agents.

Yi Zhu, Xiong-Wei Wu, Qiyi Wang et al. · 1 citation

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