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Peng-Kun Jiao

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#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
Jul 2026

Disentangling Semantic Attention from Structural Bias in the Attention Manifold

Saliency-guided Purification and Adaptive Redistribution (SPAR), a training-free, plug-and-play intervention that mitigates this generalized textual bias exerted over visual features that extends beyond isolated sink tokens.

Peng-Kun Jiao, Bin Zhu, Jingjing Chen et al. · 0 citations

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