Copertina

Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-development

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chen, Daoyuan, Wang, Haibin, Huang, Yilun, Ge, Ce, Li, Yaliang, Ding, Bolin, Zhou, Jingren
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Artificial Intelligence Computer Vision and Pattern Recognition Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models
di: Jiao, Qirui, et al.
Pubblicazione: (2024)

The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective
di: Qin, Zhen, et al.
Pubblicazione: (2024)

Data-Juicer 2.0: Cloud-Scale Adaptive Data Processing for and with Foundation Models
di: Chen, Daoyuan, et al.
Pubblicazione: (2024)

HumanVBench: Probing Human-Centric Video Understanding in MLLMs with Automatically Synthesized Benchmarks
di: Zhou, Ting, et al.
Pubblicazione: (2024)

From Training-Free to Adaptive: Empirical Insights into MLLMs' Understanding of Detection Information
di: Jiao, Qirui, et al.
Pubblicazione: (2024)

DetailMaster: Can Your Text-to-Image Model Handle Long Prompts?
di: Jiao, Qirui, et al.
Pubblicazione: (2025)

BiMix: A Bivariate Data Mixing Law for Language Model Pretraining
di: Ge, Ce, et al.
Pubblicazione: (2024)

VeriSciQA: An Auto-Verified Dataset for Scientific Visual Question Answering
di: Li, Yuyi, et al.
Pubblicazione: (2025)

AttriCtrl: Fine-Grained Control of Aesthetic Attribute Intensity in Diffusion Models
di: Chen, Die, et al.
Pubblicazione: (2025)

AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation
di: Li, Zhiwen, et al.
Pubblicazione: (2025)

VIRAL: Visual In-Context Reasoning via Analogy in Diffusion Transformers
di: Li, Zhiwen, et al.
Pubblicazione: (2026)

ArtAug: Enhancing Text-to-Image Generation through Synthesis-Understanding Interaction
di: Duan, Zhongjie, et al.
Pubblicazione: (2024)

Data Processing Techniques for Modern Multimodal Models
di: Li, Yinheng, et al.
Pubblicazione: (2024)

MindGYM: What Matters in Question Synthesis for Thinking-Centric Fine-Tuning?
di: Xu, Zhe, et al.
Pubblicazione: (2025)

Spectral Evolution Search: Efficient Inference-Time Scaling for Reward-Aligned Image Generation
di: Ye, Jinyan, et al.
Pubblicazione: (2026)

Sandboxed Coding Agents are Competitive Omni-modal Task Solvers
di: Chen, Dongping, et al.
Pubblicazione: (2026)

Modeling and Measuring Redundancy in Multisource Multimodal Data for Autonomous Driving
di: Zhou, Yuhan, et al.
Pubblicazione: (2026)

HoloDx: Knowledge- and Data-Driven Multimodal Diagnosis of Alzheimer's Disease
di: Chen, Qiuhui, et al.
Pubblicazione: (2025)

BOTS: A Unified Framework for Bayesian Online Task Selection in LLM Reinforcement Finetuning
di: Shen, Qianli, et al.
Pubblicazione: (2025)

ExVideo: Extending Video Diffusion Models via Parameter-Efficient Post-Tuning
di: Duan, Zhongjie, et al.
Pubblicazione: (2024)

PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection
di: Sun, Haibin, et al.
Pubblicazione: (2025)

A Data-Centric Revisit of Pre-Trained Vision Models for Robot Learning
di: Wen, Xin, et al.
Pubblicazione: (2025)

Backdooring Vision-Language Models with Out-Of-Distribution Data
di: Lyu, Weimin, et al.
Pubblicazione: (2024)

VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos
di: Song, Tingyu, et al.
Pubblicazione: (2025)

RoboEvolve: Co-Evolving Planner-Simulator for Robotic Manipulation with Limited Data
di: Chen, Harold Haodong, et al.
Pubblicazione: (2026)

FTibSuite: A Comprehensive Resource Suite for Tibetan Vision-Language Modeling
di: Xu, Guixian, et al.
Pubblicazione: (2026)

LGTM: Local-to-Global Text-Driven Human Motion Diffusion Model
di: Sun, Haowen, et al.
Pubblicazione: (2024)

Seizure-Semiology-Suite (S3): A Clinically Multimodal Dataset, Benchmark, and Models for Seizure Semiology Understanding
di: Zhang, Lina, et al.
Pubblicazione: (2026)

Less is More: High-value Data Selection for Visual Instruction Tuning
di: Liu, Zikang, et al.
Pubblicazione: (2024)

WorldMark: A Unified Benchmark Suite for Interactive Video World Models
di: Xu, Xiaojie, et al.
Pubblicazione: (2026)

CoVFT: Context-aware Visual Fine-tuning for Multimodal Large Language Models
di: Zhou, Nan, et al.
Pubblicazione: (2026)

Growth Inhibitors for Suppressing Inappropriate Image Concepts in Diffusion Models
di: Chen, Die, et al.
Pubblicazione: (2024)

VBench++: Comprehensive and Versatile Benchmark Suite for Video Generative Models
di: Huang, Ziqi, et al.
Pubblicazione: (2024)

SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation
di: Ge, Yuying, et al.
Pubblicazione: (2024)

LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Models
di: Ye, Junyan, et al.
Pubblicazione: (2024)

C2-Evo: Co-Evolving Multimodal Data and Model for Self-Improving Reasoning
di: Chen, Xiuwei, et al.
Pubblicazione: (2025)

ICANet: A Method of Short Video Emotion Recognition Driven by Multimodal Data
di: Wu, Xuecheng, et al.
Pubblicazione: (2022)

How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites
di: Chen, Zhe, et al.
Pubblicazione: (2024)

Bootstrapping Grounded Chain-of-Thought in Multimodal LLMs for Data-Efficient Model Adaptation
di: Xia, Jiaer, et al.
Pubblicazione: (2025)

Advancing Multimodal Judge Models through a Capability-Oriented Benchmark and MCTS-Driven Data Generation
di: Chen, Zeyu, et al.
Pubblicazione: (2026)