Copertina

TRIO: Token Reduction via Inference-Objective Guidance for Efficient Vision-Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Haokui, Ou, Congyang, Yan, Dawei, Wang, Peng, Yan, Qingsen, Zhang, Yu, Li, Ying, Xiao, Rong
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

CC-Pan: Channel-wise Compression based Diffusion for Efficient Pan-Sharpening
di: Li, Junjie, et al.
Pubblicazione: (2026)

Rethinking Practical and Efficient Quantization Calibration for Vision-Language Models
di: Shang, Zhenhao, et al.
Pubblicazione: (2026)

Efficient Adaptation of Pre-trained Vision Transformer via Householder Transformation
di: Dong, Wei, et al.
Pubblicazione: (2024)

UVLM: Benchmarking Video Language Model for Underwater World Understanding
di: Xue, Xizhe, et al.
Pubblicazione: (2025)

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment
di: Li, Qiang, et al.
Pubblicazione: (2025)

Efficient Adaptation of Pre-trained Vision Transformer underpinned by Approximately Orthogonal Fine-Tuning Strategy
di: Yang, Yiting, et al.
Pubblicazione: (2025)

TG-LLaVA: Text Guided LLaVA via Learnable Latent Embeddings
di: Yan, Dawei, et al.
Pubblicazione: (2024)

Open-Vocabulary Object Detection in UAV Imagery: A Review and Future Perspectives
di: Zhou, Yang, et al.
Pubblicazione: (2025)

Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach
di: Dong, Wei, et al.
Pubblicazione: (2024)

VScan: Rethinking Visual Token Reduction for Efficient Large Vision-Language Models
di: Zhang, Ce, et al.
Pubblicazione: (2025)

AdaptInfer: Adaptive Token Pruning for Vision-Language Model Inference with Dynamical Text Guidance
di: Zhang, Weichen, et al.
Pubblicazione: (2025)

EAPFusion: Intrinsic Evolving Auxiliary Prior Guidance for Infrared and Visible Image Fusion
di: Sun, Zhenyu, et al.
Pubblicazione: (2026)

STAR: Stage-Wise Attention-Guided Token Reduction for Efficient Large Vision-Language Models Inference
di: Guo, Yichen, et al.
Pubblicazione: (2025)

Skip-Vision: Efficient and Scalable Acceleration of Vision-Language Models via Adaptive Token Skipping
di: Zeng, Weili, et al.
Pubblicazione: (2025)

Filter, Correlate, Compress: Training-Free Token Reduction for MLLM Acceleration
di: Han, Yuhang, et al.
Pubblicazione: (2024)

PaAgent: Portrait-Aware Image Restoration Agent via Subjective-Objective Reinforcement Learning
di: Wang, Yijian, et al.
Pubblicazione: (2026)

SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
di: Zhang, Yuan, et al.
Pubblicazione: (2024)

Language Embedding Meets Dynamic Graph: A New Exploration for Neural Architecture Representation Learning
di: Jing, Haizhao, et al.
Pubblicazione: (2025)

Efficient Adaptation of Large Vision Transformer via Adapter Re-Composing
di: Dong, Wei, et al.
Pubblicazione: (2023)

SwiftVLM: Efficient Vision-Language Model Inference via Cross-Layer Token Bypass
di: Qian, Chen, et al.
Pubblicazione: (2026)

Language-Guided Token Compression with Reinforcement Learning in Large Vision-Language Models
di: Cao, Sihan, et al.
Pubblicazione: (2026)

TinyChemVL: Advancing Chemical Vision-Language Models via Efficient Visual Token Reduction and Complex Reaction Tasks
di: Zhao, Xuanle, et al.
Pubblicazione: (2025)

Rethinking Token Reduction for Large Vision-Language Models
di: Wang, Yi, et al.
Pubblicazione: (2026)

Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction
di: Zhao, Shiyu, et al.
Pubblicazione: (2024)

VIP: Visual-guided Prompt Evolution for Efficient Dense Vision-Language Inference
di: Zhu, Hao, et al.
Pubblicazione: (2026)

Token Reduction via Local and Global Contexts Optimization for Efficient Video Large Language Models
di: Li, Jinlong, et al.
Pubblicazione: (2026)

VLCache: Computing 2% Vision Tokens and Reusing 98% for Vision-Language Inference
di: Qin, Shengling, et al.
Pubblicazione: (2025)

Vote&Mix: Plug-and-Play Token Reduction for Efficient Vision Transformer
di: Peng, Shuai, et al.
Pubblicazione: (2024)

Token-Level Inference-Time Alignment for Vision-Language Models
di: Chen, Kejia, et al.
Pubblicazione: (2025)

Towards Video Anomaly Detection from Event Streams: A Baseline and Benchmark Datasets
di: Wu, Peng, et al.
Pubblicazione: (2026)

Redefining Quality Criteria and Distance-Aware Score Modeling for Image Editing Assessment
di: Zhang, Xinjie, et al.
Pubblicazione: (2026)

TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model
di: Yang, Cheng, et al.
Pubblicazione: (2025)

Generating Content for HDR Deghosting from Frequency View
di: Hu, Tao, et al.
Pubblicazione: (2024)

Frequency-Aware Token Reduction for Efficient Vision Transformer
di: Lee, Dong-Jae, et al.
Pubblicazione: (2025)

Think Twice, Act Once: Token-Aware Compression and Action Reuse for Efficient Inference in Vision-Language-Action Models
di: Tan, Xudong, et al.
Pubblicazione: (2025)

ToFe: Lagged Token Freezing and Reusing for Efficient Vision Transformer Inference
di: Zhang, Haoyue, et al.
Pubblicazione: (2025)

HCC-3D: Hierarchical Compensatory Compression for 98% 3D Token Reduction in Vision-Language Models
di: Zhang, Liheng, et al.
Pubblicazione: (2025)

CELLO: Causal Evaluation of Large Vision-Language Models
di: Chen, Meiqi, et al.
Pubblicazione: (2024)

FASTer: Toward Efficient Autoregressive Vision Language Action Modeling via Neural Action Tokenization
di: Liu, Yicheng, et al.
Pubblicazione: (2025)

Improving Visual Token Reduction via Rectifying Distortions for Efficient Multimodal LLM Inference
di: Cho, Hyeonwoo, et al.
Pubblicazione: (2026)