Papers with multimodal long-context tasks

1 papers
MadaKV: Adaptive Modality-Perception KV Cache Eviction for Efficient Multimodal Long-Context Inference (2025.acl-long)

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Challenge: Existing KV cache eviction methods fail to capture modality-specific information, resulting in suboptimal performance.
Approach: They propose a modality-adaptive key-value (KV) cache eviction strategy to enhance the efficiency of multimodal large language models in long-context inference.
Outcome: The proposed method reduces the KV cache memory footprint and model inference latency while maintaining high accuracy across multimodal long-context tasks.

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