audio-video processing 1budget allocation 1inference efficiency 1multimodal large language models 1token compression 1
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cs.AI2026
OmniDelta: Skill-Driven Budget Allocation for Token Compression in OmniLLMs
Haoyang Huang, Wenjie Huang, Tianqi Xu +14
OmniDelta is a training-free framework that dynamically allocates token budgets for audio and video inputs in omni-modal large language models, using skill pools and local complexi…
cs.AI2026
HybridKV: Hybrid KV Cache Compression for Efficient Multimodal Large Language Model Inference
Bowen Zeng, Feiyang Ren, Jun Zhang +4
Multimodal Large Language Models (MLLMs) have advanced unified reasoning over text, images, and videos, but their inference is hindered by the rapid growth of key-value (KV) caches…