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Zhenting Wang

2 papers indexed

arxivcs.CVcs.AI2026-07-08

HIVE: Understanding Post-Hallucination Reasoning in Vision Language Models

Feng He, Zhenting Wang, Qifan Wang, Qiang Guan, Dongfang Liu, Ruixiang Tang, et al.

Hallucinations in vision language models (VLMs) are commonly treated as semantic errors, yet they often arise from partial or ambiguous visual evidence. Prior work mainly focuses on detecting or suppressing hallucinations at generation time, leaving the subsequent reasoning stage…

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arxivcs.CLcs.AIcs.LG2026-06-30

SLIM-RL: Risk-Budgeted Random-Masking RL for Diffusion LLMs Without Trajectory Slicing

Ruikang Zhao, Zhenting Wang, Han Gao, Ligong Han

Reinforcement learning for diffusion large language models (dLLMs) has largely moved to trajectory-aware methods. The current state of the art, TraceRL, holds that random masking is mismatched with the model's inference trajectory, and it reconstructs that trajectory during train…

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