Copertina

Text-VQA Aug: Pipelined Harnessing of Large Multimodal Models for Automated Synthesis

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Joshi, Soham, Mishra, Shwet Kamal, Gopalakrishnan, Viswanath
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

LMM-VQA: Advancing Video Quality Assessment with Large Multimodal Models
di: Ge, Qihang, et al.
Pubblicazione: (2024)

Multimodal Retrieval-Augmented Generation with Large Language Models for Medical VQA
di: Karim, A H M Rezaul, et al.
Pubblicazione: (2025)

Muffin or Chihuahua? Challenging Multimodal Large Language Models with Multipanel VQA
di: Fan, Yue, et al.
Pubblicazione: (2024)

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

Revisiting Change VQA in Remote Sensing with Structured and Native Multimodal Qwen Models
di: Bazi, Yakoub, et al.
Pubblicazione: (2026)

Reducing Peak Memory Usage for Modern Multimodal Large Language Model Pipelines
di: Kim, Junwan, et al.
Pubblicazione: (2026)

Harnessing PDF Data for Improving Japanese Large Multimodal Models
di: Baek, Jeonghun, et al.
Pubblicazione: (2025)

Understanding and Harnessing Sparsity in Unified Multimodal Models
di: He, Shwai, et al.
Pubblicazione: (2025)

Kvasir-VQA: A Text-Image Pair GI Tract Dataset
di: Gautam, Sushant, et al.
Pubblicazione: (2024)

Evaluating the Impact of Post-Training Quantization on Reliable VQA with Multimodal LLMs
di: Kurz, Paul Jonas, et al.
Pubblicazione: (2026)

Beyond CLIP: Knowledge-Enhanced Multimodal Transformers for Cross-Modal Alignment in Diabetic Retinopathy Diagnosis
di: Samanta, Argha Kamal, et al.
Pubblicazione: (2025)

HARIVO: Harnessing Text-to-Image Models for Video Generation
di: Kwon, Mingi, et al.
Pubblicazione: (2024)

PatentLMM: Large Multimodal Model for Generating Descriptions for Patent Figures
di: Shukla, Shreya, et al.
Pubblicazione: (2025)

Gather and Trace: Rethinking Video TextVQA from an Instance-oriented Perspective
di: Zhang, Yan, et al.
Pubblicazione: (2025)

MechVQA: Benchmarking and Enhancing Multimodal LLMs on Comprehensive Mechanical Drawing Understanding
di: Kou, Qian, et al.
Pubblicazione: (2026)

Visual Text Matters: Improving Text-KVQA with Visual Text Entity Knowledge-aware Large Multimodal Assistant
di: Penamakuri, Abhirama Subramanyam, et al.
Pubblicazione: (2024)

MangaVQA and MangaLMM: A Benchmark and Specialized Model for Multimodal Manga Understanding
di: Baek, Jeonghun, et al.
Pubblicazione: (2025)

SCRA-VQA: Summarized Caption-Rerank for Augmented Large Language Models in Visual Question Answering
di: Zhang, Yan, et al.
Pubblicazione: (2025)

Automated Prompt Generation for Creative and Counterfactual Text-to-image Synthesis
di: Jelaca, Aleksa, et al.
Pubblicazione: (2025)

TextMonkey: An OCR-Free Large Multimodal Model for Understanding Document
di: Liu, Yuliang, et al.
Pubblicazione: (2024)

OAD-Promoter: Enhancing Zero-shot VQA using Large Language Models with Object Attribute Description
di: Xu, Quanxing, et al.
Pubblicazione: (2025)

ViBe: A Text-to-Video Benchmark for Evaluating Hallucination in Large Multimodal Models
di: Rawte, Vipula, et al.
Pubblicazione: (2024)

Self-Aug: Query and Entropy Adaptive Decoding for Large Vision-Language Models
di: Im, Eun Woo, et al.
Pubblicazione: (2025)

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

Policy Optimized Text-to-Image Pipeline Design
di: Gadot, Uri, et al.
Pubblicazione: (2025)

Automated Floodwater Depth Estimation Using Large Multimodal Model for Rapid Flood Mapping
di: Akinboyewa, Temitope, et al.
Pubblicazione: (2024)

GEMeX-RMCoT: An Enhanced Med-VQA Dataset for Region-Aware Multimodal Chain-of-Thought Reasoning
di: Liu, Bo, et al.
Pubblicazione: (2025)

mKG-RAG: Leveraging Multimodal Knowledge Graphs in Retrieval-Augmented Generation for Knowledge-intensive VQA
di: Yuan, Xu, et al.
Pubblicazione: (2025)

M$^3$-VQA: A Benchmark for Multimodal, Multi-Entity, Multi-Hop Visual Question Answering
di: Ma, Jiatong, et al.
Pubblicazione: (2026)

Auto-Comp: An Automated Pipeline for Scalable Compositional Probing of Contrastive Vision-Language Models
di: Sbrolli, Cristian, et al.
Pubblicazione: (2026)

TextHawk: Exploring Efficient Fine-Grained Perception of Multimodal Large Language Models
di: Yu, Ya-Qi, et al.
Pubblicazione: (2024)

Harnessing Shared Relations via Multimodal Mixup Contrastive Learning for Multimodal Classification
di: Kumar, Raja, et al.
Pubblicazione: (2024)

Harnessing Large Vision and Language Models in Agriculture: A Review
di: Zhu, Hongyan, et al.
Pubblicazione: (2024)

Generative Animations: A Multi-Model Pipeline for Prompt-Driven Motion Synthesis
di: Khurana, Mannat, et al.
Pubblicazione: (2026)

CtrlSynth: Controllable Image Text Synthesis for Data-Efficient Multimodal Learning
di: Cao, Qingqing, et al.
Pubblicazione: (2024)

Caption First, VQA Second: Knowledge Density, Not Task Format, Drives Multimodal Scaling
di: Zou, Hongjian, et al.
Pubblicazione: (2026)

Is ChatGPT-5 Ready for Mammogram VQA?
di: Li, Qiang, et al.
Pubblicazione: (2025)

Advancing Surgical VQA with Scene Graph Knowledge
di: Yuan, Kun, et al.
Pubblicazione: (2023)

PrismVAU: Prompt-Refined Inference System for Multimodal Video Anomaly Understanding
di: Erregue, Iñaki, et al.
Pubblicazione: (2026)

MTabVQA: Evaluating Multi-Tabular Reasoning of Language Models in Visual Space
di: Singh, Anshul, et al.
Pubblicazione: (2025)