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Guo-Jian Zhan

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#artificial intelligence Preprint Sep 2026

Beyond Token-Local Imitation: Reward-Compatible Temporal Credit Assignment for On-Policy Distillation

On-policy distillation (OPD) has emerged as an effective approach for large language model post-training, yet existing objectives face a trade-off between objective fidelity and optimization stability. Token-level OPD provides stable but local supervision, whereas sequence-level OPD captures future credit at the cost o...

Shi-Qi Liu, Ze-Yu He, Le-Tian Tao et al. · 2 citations

#artificial intelligence Preprint Sep 2026

NoteVQA: Benchmarking VLMs on Real-Life Questions from Human Communities

Vision-language models (VLMs) increasingly power consumer-facing AI search, yet evaluating them on the diversity of everyday visual questions remains challenging. Existing benchmarks often target predefined capabilities, such as multi-hop retrieval or long-form synthesis, whereas users ask photo-grounded questions span...

Hao-Nan Jiang, Guo-Jian Zhan, Jian-Cong Xie et al. · 0 citations