Cover Image

Active Data Curation Effectively Distills Large-Scale Multimodal Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Udandarao, Vishaal, Parthasarathy, Nikhil, Naeem, Muhammad Ferjad, Evans, Talfan, Albanie, Samuel, Tombari, Federico, Xian, Yongqin, Tonioni, Alessio, Hénaff, Olivier J.
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Data curation via joint example selection further accelerates multimodal learning
by: Evans, Talfan, et al.
Published: (2024)

PARCEL: Pool-Anchored Resampling with Conditioned Elastic Queries for Efficient Vision-Language Understanding
by: Kuzucu, Selim, et al.
Published: (2026)

UIP2P: Unsupervised Instruction-based Image Editing via Edit Reversibility Constraint
by: Simsar, Enis, et al.
Published: (2024)

LIME: Localized Image Editing via Attention Regularization in Diffusion Models
by: Simsar, Enis, et al.
Published: (2023)

Text-Conditioned Resampler For Long Form Video Understanding
by: Korbar, Bruno, et al.
Published: (2023)

Omnia de EgoTempo: Benchmarking Temporal Understanding of Multi-Modal LLMs in Egocentric Videos
by: Plizzari, Chiara, et al.
Published: (2025)

RefAM: Attention Magnets for Zero-Shot Referral Segmentation
by: Kukleva, Anna, et al.
Published: (2025)

A Practitioner's Guide to Continual Multimodal Pretraining
by: Roth, Karsten, et al.
Published: (2024)

Toward a Diffusion-Based Generalist for Dense Vision Tasks
by: Fan, Yue, et al.
Published: (2024)

TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters
by: Wang, Haiyang, et al.
Published: (2024)

Bad Students Make Great Teachers: Active Learning Accelerates Large-Scale Visual Understanding
by: Evans, Talfan, et al.
Published: (2023)

SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
by: Tschannen, Michael, et al.
Published: (2025)

How to Merge Your Multimodal Models Over Time?
by: Dziadzio, Sebastian, et al.
Published: (2024)

ONEBench to Test Them All: Sample-Level Benchmarking Over Open-Ended Capabilities
by: Ghosh, Adhiraj, et al.
Published: (2024)

A Good CREPE needs more than just Sugar: Investigating Biases in Compositional Vision-Language Benchmarks
by: Udandarao, Vishaal, et al.
Published: (2025)

A Sober Look at Progress in Language Model Reasoning: Pitfalls and Paths to Reproducibility
by: Hochlehnert, Andreas, et al.
Published: (2025)

Efficient Lifelong Model Evaluation in an Era of Rapid Progress
by: Prabhu, Ameya, et al.
Published: (2024)

Language-Unlocked ViT (LUViT): Empowering Self-Supervised Vision Transformers with LLMs
by: Kuzucu, Selim, et al.
Published: (2025)

Learning to Prompt with Text Only Supervision for Vision-Language Models
by: Khattak, Muhammad Uzair, et al.
Published: (2024)

SSL-R1: Self-Supervised Visual Reinforcement Post-Training for Multimodal Large Language Models
by: Xie, Jiahao, et al.
Published: (2026)

No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
by: Udandarao, Vishaal, et al.
Published: (2024)

Layerwise complexity-matched learning yields an improved model of cortical area V2
by: Parthasarathy, Nikhil, et al.
Published: (2023)

Human Pose Descriptions and Subject-Focused Attention for Improved Zero-Shot Transfer in Human-Centric Classification Tasks
by: Khan, Muhammad Saif Ullah, et al.
Published: (2024)

R-CoV: Region-Aware Chain-of-Verification for Alleviating Object Hallucinations in LVLMs
by: Xie, Jiahao, et al.
Published: (2026)

Test-Time Visual In-Context Tuning
by: Xie, Jiahao, et al.
Published: (2025)

Self-supervised video pretraining yields robust and more human-aligned visual representations
by: Parthasarathy, Nikhil, et al.
Published: (2022)

How Good is my Video LMM? Complex Video Reasoning and Robustness Evaluation Suite for Video-LMMs
by: Khattak, Muhammad Uzair, et al.
Published: (2024)

BRAVE: Broadening the visual encoding of vision-language models
by: Kar, Oğuzhan Fatih, et al.
Published: (2024)

MOBIUS: Big-to-Mobile Universal Instance Segmentation via Multi-modal Bottleneck Fusion and Calibrated Decoder Pruning
by: Segu, Mattia, et al.
Published: (2025)

InseRF: Text-Driven Generative Object Insertion in Neural 3D Scenes
by: Shahbazi, Mohamad, et al.
Published: (2024)

GRAB: A Challenging GRaph Analysis Benchmark for Large Multimodal Models
by: Roberts, Jonathan, et al.
Published: (2024)

Needle Threading: Can LLMs Follow Threads through Near-Million-Scale Haystacks?
by: Roberts, Jonathan, et al.
Published: (2024)

Solving Spatial Supersensing Without Spatial Supersensing
by: Udandarao, Vishaal, et al.
Published: (2025)

CiteME: Can Language Models Accurately Cite Scientific Claims?
by: Press, Ori, et al.
Published: (2024)

SciFIBench: Benchmarking Large Multimodal Models for Scientific Figure Interpretation
by: Roberts, Jonathan, et al.
Published: (2024)

Context-Aware Multimodal Pretraining
by: Roth, Karsten, et al.
Published: (2024)

Charting New Territories: Exploring the Geographic and Geospatial Capabilities of Multimodal LLMs
by: Roberts, Jonathan, et al.
Published: (2023)

A mechanism for freezing moduli into Minkowski spacetime
by: Tonioni, Flavio
Published: (2024)

How Long Is a Piece of String? A Brief Empirical Analysis of Tokenizers
by: Roberts, Jonathan, et al.
Published: (2026)

GiT: Towards Generalist Vision Transformer through Universal Language Interface
by: Wang, Haiyang, et al.
Published: (2024)