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Jun-Ting Wang

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#machine learning Preprint Sep 2026

Harnessing Image Question Dependence for Better VLM Test-time Reinforcement Learning

Test-time reinforcement learning can adapt vision-language models (VLMs) to unlabeled target data, but its effectiveness is fundamentally limited by the reliability of self-generated learning signals. To assess the reliability of consensus-based learning signals, we analyze VLM test-time reinforcement learning across d...

Xinrui He, Ting-Wei Li, Jun-Ting Wang et al. · 0 citations
Jul 2026

Understanding Semantic IDs: From Item Representation to Item Selection in Generative Recommendation

The results show that SIDs provide useful coarse item organization, but their fine boundaries should not alone determine which items remain available during generation, and propose Item-Supported Decoding (ISD), a lightweight inference-time method that allows a user-specific item ranking to support corresponding SID pr...

Jun-Ting Wang, Xinrui He, Yunzhe Li et al. · 2 citations

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