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TaoZhong

2 accepted papers

2025

LLaVA-MoD: Making LLaVA Tiny via MoE-Knowledge Distillation

ICLR 2025poster

We introduce LLaVA-MoD, a novel framework designed to enable the efficient training of small-scale Multimodal Language Models ($s$-MLLM) distilling knowledge from large-scale MLLM ($l$-MLLM). Our approach tackles two fundamental challenges in MLLM distillation. First, we optimize the network structu…

2025

Streaming Video Question-Answering with In-context Video KV-Cache Retrieval

ICLR 2025poster

We propose ReKV, a novel training-free approach that enables efficient streaming video question-answering (StreamingVQA), by seamlessly integrating with existing Video Large Language Models (Video-LLMs). Traditional VideoQA systems struggle with long videos, as they must process entire videos before…