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Qi-Wei Chen

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Preprint Sep 2026

Faster and Better? Benchmark Bugs and Design Limitations Distort the Evaluation of Vision-Language-Action Acceleration

Simulated manipulation benchmarks are the standard tool for evaluating vision-language-action (VLA) policies and the acceleration methods that reduce their inference latency for on-robot deployment. On these benchmarks, we observe that some training-free acceleration methods, which approximate the baseline policy's com...

Qi-Wei Chen, Kai-Jun Zhou, Nuo-Hui Shi et al. · 0 citations
#artificial intelligence Book Open access 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, Zhi-Shan Zhao et al. · 0 citations

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