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Zicong Tang

2 accepted papers

2025

CoViPAL: Layer-wise Contextualized Visual Token Pruning for Large Vision-Language Models

EMNLP 2025

Large Vision-Language Models (LVLMs) process multimodal inputs consisting of text tokens and vision tokens extracted from images or videos. Due to the rich visual information, a single image can generate thousands of vision tokens, leading to high computational costs during the prefilling stage and

2025

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers

ACL 2025long

Large Language Models (LLMs) have achieved impressive accomplishments in recent years. However, the increasing memory consumption of KV cache has possessed a significant challenge to the inference system. Eviction methods have revealed the inherent redundancy within the KV cache, demonstrating its p…