Author

Hao-Nan Jiang

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#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

#artificial intelligence Book Sep 2026

SequenceO1: End-to-End Ultra-Long (100K) Sequence Modeling in Recommendation with Low-Rank Caching

Modern short-video recommenders must exploit ultra-long user histories—which can reach hundreds of thousands or even millions of interactions per user—but are constrained by strict latency and training-throughput budgets. As a result, production systems typically truncate histories or rely on two-stage retrieve-then-ra...

Lin Guan, Jia-Qi Yang, Zhishan Zhao et al. · 0 citations