EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models | Paper Citation Record

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models Unresolved cited work

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models Unresolved cited work

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models Token merging: Your vit but faster

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models LLaVA-KD: A Framework of Distilling Multimodal Large Language Models

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This paper cites PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling.

EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models Unresolved cited work

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This paper cites ALLaVA: Harnessing GPT4V-Synthesized Data for Lite Vision-Language Models.

EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models ALLaVA: Harnessing GPT4V-Synthesized Data for Lite Vision-Language Models

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models Unresolved cited work

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This paper cites Are We on the Right Way for Evaluating Large Vision-Language Models?.

EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models Are We on the Right Way for Evaluating Large Vision-Language Models?

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models Microsoft COCO Captions: Data Collection and Evaluation Server

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models Unresolved cited work

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models Unresolved cited work

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models Unresolved cited work

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Context Sparsification

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models Unresolved cited work

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models A Diagram Is Worth A Dozen Images

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models LLaVA-OneVision: Easy Visual Task Transfer

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models TokenPacker: Efficient Visual Projector for Multimodal LLM

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models SnapKV: LLM Knows What You are Looking for Before Generation

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models Unresolved cited work

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models MMBench: Is Your Multi-modal Model an All-around Player?

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models NVILA: Efficient Frontier Visual Language Models

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models DeepSeek-VL: Towards Real-World Vision-Language Understanding

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models $\gamma-$MoD: Exploring Mixture-of-Depth Adaptation for Multimodal Large Language Models

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models DocVQA: A Dataset for VQA on Document Images

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models Unresolved cited work

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models LLaVA-MoD: Making LLaVA Tiny via MoE Knowledge Distillation

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models MovieChat: From Dense Token to Sparse Memory for Long Video Understanding

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models A Simple and Effective Pruning Approach for Large Language Models

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models Hierarchical multimodal transformers for Multi-Page DocVQA

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models VL-Cache: Sparsity and Modality-Aware KV Cache Compression for Vision-Language Model Inference Acceleration

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models Unresolved cited work

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models Distilled Dual-Encoder Model for Vision-Language Understanding

Reference 60

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models https://x.ai/blog/grok-1.5v Grok-1.5 vision preview

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models Unresolved cited work

Reference 62

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models McAuley, and Furu Wei

Reference 63

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models ThinK: Thinner Key Cache by Query-Driven Pruning

Reference 65

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models Unresolved cited work

Reference 66

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Reference 67

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization

Reference 68

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities

Reference 69

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models Unresolved cited work

Reference 70

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models

Reference 71

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference

Reference 72

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models Unresolved cited work

Reference 73

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models Unresolved cited work

Reference 74

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models TinyLLaVA: A Framework of Small-scale Large Multimodal Models

Reference 75

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models online" 'onlinestring :=

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models write newline

Reference 77

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