Author

Ziming Zhu

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#artificial intelligence Feb 2026

When Scaling Fails: Mitigating Audio Perception Decay of LALMs via Multi-Step Perception-Aware Reasoning

Leveraging reinforcement learning, MPAR$^2$ improves perception performance on CAFE from 31.74% to 63.51% and effectively mitigates perception decay, concurrently enhancing reasoning capabilities to achieve a significant 74.59% accuracy on the MMAU benchmark.

Rui Mao, Xiangnan Ma, Dan-Qi Chen et al. · arXiv.org · 1 citation

Preprint Aug 2026

RRC: Unlocking Generative Reward Models in LLM Reinforcement Learning via Ranking-Based Reward Construction

RRC introduces two complementary strategies: self-competitive ranking, which exploits comparisons among sampled responses, and anchor-guided ranking, which enables scalable ranking-based reward construction with a small set of reference responses.

Chenglong Wang, Ziming Zhu, Yifu Huo et al. · 2 citations

Jul 2026

FlowCTS: On-policy Continuous Trajectory Supervision of Flow Models

Flow Continuous Trajectory Supervision (FlowCTS), which matches subsequent student and reference trajectories initialized from the same student-visited state to derive a temporally weighted velocity-matching upper bound and discretize it into practical objectives parameterized by the number of supervision steps.

Kaiyang Ye, Yuan Ge, Junxia Zhang et al. · arXiv.org · 0 citations