Cover Image

Once-For-All: A Train-Once and Select-Anytime Framework for Multimodal Instruction Tuning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dong, Mingkang, Cai, Hongyi, Lei, Xiwen, Li, Jie, Zhang, Tao, Pu, Muxin
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition I.2.6; I.2.10; I.4.0
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Better Schedules for Low Precision Training of Deep Neural Networks
by: Wolfe, Cameron R., et al.
Published: (2024)

Bridging SFT and DPO for Diffusion Model Alignment with Self-Sampling Preference Optimization
by: Zhang, Daoan, et al.
Published: (2024)

Adapting Multimodal Foundation Models for Few-Shot Learning: A Comprehensive Study on Contrastive Captioners
by: Narasinghe, N. K. B. M. P. K. B., et al.
Published: (2025)

Tiny models from tiny data: Textual and null-text inversion for few-shot distillation
by: Landolsi, Erik, et al.
Published: (2024)

ExpReS-VLA: Specializing Vision-Language-Action Models Through Experience Replay and Retrieval
by: Syed, Shahram Najam, et al.
Published: (2025)

Data Organization Matters in Multimodal Instruction Tuning: A Controlled Study of Capability Trade-offs
by: Tang, Guowei
Published: (2026)

Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion
by: Nishiyama, Daiki, et al.
Published: (2025)

GLL: A Differentiable Graph Learning Layer for Neural Networks
by: Brown, Jason, et al.
Published: (2024)

Sample as You Infer: Predictive Coding With Langevin Dynamics
by: Zahid, Umais, et al.
Published: (2023)

Efficient Neural Network Encoding for 3D Color Lookup Tables
by: Zehtab, Vahid, et al.
Published: (2024)

ATAAT: Adaptive Threat-Aware Adversarial Tuning Framework against Backdoor Attacks on Vision-Language-Action Models
by: Chen, Kewei, et al.
Published: (2026)

CCVA-FL: Cross-Client Variations Adaptive Federated Learning for Medical Imaging
by: Gupta, Sunny, et al.
Published: (2024)

Taming the Tail: Leveraging Asymmetric Loss and Pade Approximation to Overcome Medical Image Long-Tailed Class Imbalance
by: Kashyap, Pankhi, et al.
Published: (2024)

VLM-VPI: A Vision-Language Reasoning Framework for Improving Automated Vehicle-Pedestrian Interactions
by: Pu, Qingwen, et al.
Published: (2026)

EduFlow: Advancing MLLMs' Problem-Solving Proficiency through Multi-Stage, Multi-Perspective Critique
by: Zhu, Chenglin, et al.
Published: (2025)

Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight
by: Romero, Angel, et al.
Published: (2025)

WayFASTER: a Self-Supervised Traversability Prediction for Increased Navigation Awareness
by: Gasparino, Mateus Valverde, et al.
Published: (2024)

Convolutional Model Trees
by: Armstrong, William Ward, et al.
Published: (2025)

BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation
by: Karácsony, Tamás, et al.
Published: (2025)

Lifelong Learning in Vision-Language Models: Enhanced EWC with Cross-Modal Knowledge Retention
by: Durrani, Hamza Ahmed, et al.
Published: (2026)

CLIP-Joint-Detect: End-to-End Joint Training of Object Detectors with Contrastive Vision-Language Supervision
by: Raoufi, Behnam, et al.
Published: (2025)

FT-NCFM: An Influence-Aware Data Distillation Framework for Efficient VLA Models
by: Chen, Kewei, et al.
Published: (2025)

SUN Team's Contribution to ABAW 2024 Competition: Audio-visual Valence-Arousal Estimation and Expression Recognition
by: Dresvyanskiy, Denis, et al.
Published: (2024)

Learning the meanings of function words from grounded language using a visual question answering model
by: Portelance, Eva, et al.
Published: (2023)

Closed-Loop Neural Activation Control in Vision-Language-Action Models
by: Babu, Abhijith, et al.
Published: (2026)

Physics-R1: An Audited Olympiad Corpus and Recipe for Visual Physics Reasoning
by: Yang, Shan
Published: (2026)

AGOP as Explanation: From Feature Learning to Per-Sample Attribution in Image Classifiers
by: Katakam, Raj Kiran Gupta
Published: (2026)

Foreground Focus: Enhancing Coherence and Fidelity in Camouflaged Image Generation
by: Chen, Pei-Chi, et al.
Published: (2025)

Adaptive Self-Training for Object Detection
by: Vandeghen, Renaud, et al.
Published: (2022)

Efficient Image Pre-Training with Siamese Cropped Masked Autoencoders
by: Eymaël, Alexandre, et al.
Published: (2024)

CulinaryCut-VLAP: A Vision-Language-Action-Physics Framework for Food Cutting via a Force-Aware Material Point Method
by: Koh, Hyunseo, et al.
Published: (2026)

CLARE: Continual Learning for Vision-Language-Action Models via Autonomous Adapter Routing and Expansion
by: Römer, Ralf, et al.
Published: (2026)

Cortex 2.0: Grounding World Models in Real-World Industrial Deployment
by: Aida, Adriana, et al.
Published: (2026)

Selection, Not Fusion: Radar-Modulated State Space Models for Radar-Camera Depth Estimation
by: Hou, Zhangcheng, et al.
Published: (2026)

From Demonstrations to Safe Deployment: Path-Consistent Safety Filtering for Diffusion Policies
by: Römer, Ralf, et al.
Published: (2025)

Super-additive Cooperation in Language Model Agents
by: Tonini, Filippo, et al.
Published: (2025)

Context-Enriched Contrastive Loss: Enhancing Presentation of Inherent Sample Connections in Contrastive Learning Framework
by: Deng, Haojin, et al.
Published: (2025)

Flex: End-to-End Text-Instructed Visual Navigation from Foundation Model Features
by: Chahine, Makram, et al.
Published: (2024)

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward
by: Fang, Jiawei, et al.
Published: (2025)

Survey Transfer Learning: Recycling Data with Silicon Responses
by: Amini, Ali
Published: (2025)