"Token Reduction Should Go Beyond Efficiency in Generative Models - From ..."

Zhenglun Kong et al. (2025)

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DOI: 10.48550/ARXIV.2505.18227

access: open

type: Informal or Other Publication

metadata version: 2025-06-26

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  - journals/corr/abs-2505-18227
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  - https://dblp.org/rec/journals/corr/abs-2505-18227
Zhenglun Kong, Yize Li, Fanhu Zeng, Lei Xin, Shvat Messica, Xue Lin, Pu Zhao, Manolis Kellis, Hao Tang, Marinka Zitnik:
Token Reduction Should Go Beyond Efficiency in Generative Models - From Vision, Language to Multimodality. CoRR abs/2505.18227 (2025)

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