Author

Ming Shen

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#artificial intelligence Preprint Sep 2026

Hyperbolic Multimodal Continual Learning: A Closest-Admissible Solution

Existing continual-learning methods protect parameters, replayed examples, or Euclidean feature subspaces. When applied to hyperbolic multimodal models, they do not explicitly preserve the Lorentz geometry that jointly encodes within-modality similarity, cross-modal correspondence, and semantic hierarchy; sequential up...

Jia-Hong Liu, Ming Shen, Xiao-Hao Liu et al. · 0 citations

#machine learning Preprint Aug 2026

StepKV: Step-Aware KV Cache Compression for LLM Agents

Key-value (KV) caching is essential for efficient autoregressive large language model (LLM) inference, but the cache grows linearly with context length, increasing storage and decoding costs. KV cache compression mitigates this cost by retaining only a subset of cached tokens. This challenge is particularly important f...

Bo-Yu Feng, Jia-Hong Liu, Yi-Fan Li et al. · 0 citations