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Yinglong Xia

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#machine learning Preprint Oct 2026

Hierarchical Credit Assignment for RLVR on Fused Gromov-Wasserstein Geometry

Reinforcement learning with verifiable rewards (RLVR) has been shown to improve the reasoning capability of large language models (LLMs) across diverse reasoning tasks. However, group-based RLVR methods, such as GRPO, assign a uniform advantage to all tokens within rollouts of the same outcome. While existing works ref...

Qi Yu, Rui-Zhong Qiu, Zhichen Zeng et al. · 0 citations
#machine learning Preprint Aug 2026

EvoHarness-RL: Learning Self-Evolving Runtime Harness for Long-Horizon LLM Agents

EvoHarness-RL is introduced, which exposes Belief, Progress, and Experience (BPE) as policy-facing harness state and reveals two key dynamics: harness annealing, where training internalizes recurring harness-use patterns into the model policy and shifts the agent from frequent harness calls toward selective external-st...

Xuying Ning, Dongqi Fu, Tianxin Wei et al. · 0 citations

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