Video large language models (Vid-LLMs) excel at diverse video-language tasks by reasoning over selected frames. However, frame selection for long videos remains challenging, as it requires retrieving relevant frames distributed across segments from a large candidate pool given complex queries. This paper investigates d...
Yiyang Huang, Yi-Tian Zhang, Yi-Zhou Wang et al.· 0 citations
A unified view of post-training for autonomous driving is presented by defining its scope and organizing the existing literature into four major families based on the form of supervision they use, which aim to facilitate a systematic understanding of this emerging area and stimulate future research on reliable and effi...
Ruining Yang, Mu Wang, Yi-Xiao Chen et al.· arXiv.org· 1 citation
A post-training paradigm that integrates multimodal alignment (MA) and structural perception (SP) is proposed, MA enhances element interpretation by grounding metadata-defined elements to their visual counterparts, mitigating semantic drift, and SP models layer-aware inter-element spatial relationships to improve hiera...
Yiyang Huang, Zhao-Wen Wang, Simon Jenni et al.· 0 citations
ACBQ is presented, a simple yet effective framework that simultaneously addresses weight–activation joint quantization and extreme low-bit weight quantization and an adaptive cross-block quantization strategy that explicitly accounts for cross-layer dependencies by encouraging consistency across blocks.
Hailing Wang, Jianglin Lu, Yitian Zhang et al.· Annual Meeting of the Associ...· 0 citations
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