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Shangpin Peng

Harbin Institute of Technology, Shenzhen

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#artificial intelligence Preprint Sep 2026

$T^5$: Twin-Critic Training for Token-Level Thoughts in Reinforcement Mid-Training

This work proposes tfour, a twin-critic method that calibrates token-level advantages from a single generated trajectory, and describes optimal mixing under the signal-retention constraint and establishes an upper bound on residual mean-induced drift.

Nan Qiao, Ye-Bin Yang, Wei-Nong Wang et al. · 0 citations
Preprint Aug 2026

Beyond Correctness: Benchmarking and Aligning Response Behaviors in Hybrid-Thinking MLLMs

Experiments on Qwen3-VL-4B and Qwen3-VL-8B show that incorporating pattern-specific penalties into reinforcement learning can mitigate cross-mode misalignment while incurring a marginal task performance trade-off.

Xin-Ming Wang, Wei-Nong Wang, Hong-Ming Yang et al. · 2 citations · ⚡1
Review Jul 2026

HyMobileAgent: Data-Environment Co-Scaling for Efficient GUI Agents

This report presents HyMobileAgent, a mobile GUI agent built on Hy3.0-VL-A3B, a vision-native foundation model featuring native any-resolution input, an A3B-scale deployment budget, and a 32K context window to model extended interaction histories.

H. Team, Hua-Wen Shen, Zheng-Yang Tang et al. · 2 citations · ⚡1
Jul 2026

HunyuanOCR-1.5: Making Lightweight OCR VLMs Faster and Better

HuyuanOCR-1.5 ranks among the top-tier end-to-end OCR solutions on OmniDocBench v1.6 while achieving new performance milestones across these long-tail tasks, and proposes Agentic Data Flow, an agent-driven data construction system that transforms model weaknesses into executable data requirements and autonomously perfo...

Gengluo Li, Xingyu Wan, Shangpin Peng et al. · 7 citations · ⚡1

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