Cover Image

Cache-of-Thought: Master-Apprentice Framework for Cost-Effective Vision Language Model Reasoning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Mingyuan, Jiang, Jize, Zheng, Haozhen, Li, Meitang, Li, Zhaoheng, Tian, Beitong, Chen, Bo, Park, Yongjoo, Zhang, Minjia, Zhai, Chengxiang, Nahrstedt, Klara
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

UOUO: Uncontextualized Uncommon Objects for Measuring Knowledge Horizons of Vision Language Models
by: Pi, Xinyu, et al.
Published: (2024)

VTool-R1: VLMs Learn to Think with Images via Reinforcement Learning on Multimodal Tool Use
by: Wu, Mingyuan, et al.
Published: (2025)

Aha Moment Revisited: Are VLMs Truly Capable of Self Verification in Inference-time Scaling?
by: Wu, Mingyuan, et al.
Published: (2025)

Spatio-Temporal LLM: Reasoning about Environments and Actions
by: Zheng, Haozhen, et al.
Published: (2025)

AquaVLM: Improving Underwater Situation Awareness with Mobile Vision Language Models
by: Tian, Beitong, et al.
Published: (2025)

AquaScope: Reliable Underwater Image Transmission on Mobile Devices
by: Tian, Beitong, et al.
Published: (2025)

Spreadsheet-RL: Advancing Large Language Model Agents on Realistic Spreadsheet Tasks via Reinforcement Learning
by: Chi, Banghao, et al.
Published: (2026)

QStore: Quantization-Aware Compressed Model Storage
by: Shah, Raunak, et al.
Published: (2025)

TraceNet: Segment one thing efficiently
by: Wu, Mingyuan, et al.
Published: (2024)

SIEVE: Effective Filtered Vector Search with Collection of Indexes
by: Li, Zhaoheng, et al.
Published: (2025)

MojoFrame: Dataframe Library in Mojo Language
by: Huang, Shengya, et al.
Published: (2025)

Circuit Tracing in Vision-Language Models: Understanding the Internal Mechanisms of Multimodal Thinking
by: Yang, Jingcheng, et al.
Published: (2026)

ACT360: An Efficient 360-Degree Action Detection and Summarization Framework for Mission-Critical Training and Debriefing
by: Tiwari, Aditi, et al.
Published: (2025)

FDM-Bench: A Comprehensive Benchmark for Evaluating Large Language Models in Additive Manufacturing Tasks
by: Eslaminia, Ahmadreza, et al.
Published: (2024)

Chipmink: Efficient Delta Identification for Massive Object Graph
by: Chockchowwat, Supawit, et al.
Published: (2025)

Kishu: Time-Traveling for Computational Notebooks
by: Li, Zhaoheng, et al.
Published: (2024)

Performance Characterization of Containers in Edge Computing
by: Gupta, Ragini, et al.
Published: (2025)

ElasticNotebook: Enabling Live Migration for Computational Notebooks
by: Li, Zhaoheng, et al.
Published: (2023)

EcoLens: Leveraging Multi-Objective Bayesian Optimization for Energy-Efficient Video Processing on Edge Devices
by: Civjan, Benjamin, et al.
Published: (2025)

Viewport-based Neural 360° Image Compression
by: Liao, Jingwei, et al.
Published: (2026)

QoS-QoE Translation with Large Language Model
by: Yu, Yingjie, et al.
Published: (2026)

Revisiting Disaggregated Large Language Model Serving for Performance and Energy Implications
by: Li, Jiaxi, et al.
Published: (2025)

Report on the NSF Workshop on Sustainable Computing for Sustainability (NSF WSCS 2024)
by: Guérin, Roch, et al.
Published: (2024)

Pseudo Dataset Generation for Out-of-Domain Multi-Camera View Recommendation
by: Lee, Kuan-Ying, et al.
Published: (2024)

ORBIT: Cost-Effective Dataset Curation for Large Language Model Domain Adaptation with an Astronomy Case Study
by: Modesitt, Eric, et al.
Published: (2024)

Hold Onto That Thought: Assessing KV Cache Compression On Reasoning
by: Liu, Minghui, et al.
Published: (2025)

Federated Transfer Learning with Task Personalization for Condition Monitoring in Ultrasonic Metal Welding
by: Eslaminia, Ahmadreza, et al.
Published: (2024)

Cloud-Native Vector Search: A Comprehensive Performance Analysis
by: Li, Zhaoheng, et al.
Published: (2025)

PBE Meets LLM: When Few Examples Aren't Few-Shot Enough
by: Zhang, Shuning, et al.
Published: (2025)

FlexGaussian: Flexible and Cost-Effective Training-Free Compression for 3D Gaussian Splatting
by: Tian, Boyuan, et al.
Published: (2025)

What Makes In-context Learning Effective for Mathematical Reasoning: A Theoretical Analysis
by: Liu, Jiayu, et al.
Published: (2024)

Adaptive Unknown Fault Detection and Few-Shot Continual Learning for Condition Monitoring in Ultrasonic Metal Welding
by: Eslaminia, Ahmadreza, et al.
Published: (2026)

Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Language Models
by: Yao, Yao, et al.
Published: (2023)

MegaCacheX: Towards Cost-Effective Hierarchical Collaborative Content Caching in Emerging Mega-Constellations
by: Shi, Haoyang, et al.
Published: (2025)

The Cost of Reasoning: Chain-of-Thought Induces Overconfidence in Vision-Language Models
by: Welch, Robert, et al.
Published: (2026)

Enhancing Neural Adaptive Wireless Video Streaming via Lower-Layer Information Exposure and Online Tuning
by: Zhao, Lingzhi, et al.
Published: (2025)

Apprentice training in South Australia
Published: (1925)

Apprentice of the Year award for SVN
Published: (2025)

Evaluating Spatio-Temporal Forecasting Trade-offs Between Graph Neural Networks and Foundation Models
by: Gupta, Ragini, et al.
Published: (2025)

LLM-ADAM: A Generalizable LLM Agent Framework for Pre-Print Anomaly Detection in Additive Manufacturing
by: Eslaminia, Ahmadreza, et al.
Published: (2026)