Copertina

Causal Graphical Models for Vision-Language Compositional Understanding

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Parascandolo, Fiorenzo, Moratelli, Nicholas, Sangineto, Enver, Baraldi, Lorenzo, Cucchiara, Rita
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence Computation and Language Multimedia
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Positive-Augmented Contrastive Learning for Vision-and-Language Evaluation and Training
di: Sarto, Sara, et al.
Pubblicazione: (2024)

Personalizing Multimodal Large Language Models for Image Captioning: An Experimental Analysis
di: Bucciarelli, Davide, et al.
Pubblicazione: (2024)

Augmenting Multimodal LLMs with Self-Reflective Tokens for Knowledge-based Visual Question Answering
di: Cocchi, Federico, et al.
Pubblicazione: (2024)

Revisiting Image Captioning Training Paradigm via Direct CLIP-based Optimization
di: Moratelli, Nicholas, et al.
Pubblicazione: (2024)

The Revolution of Multimodal Large Language Models: A Survey
di: Caffagni, Davide, et al.
Pubblicazione: (2024)

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization
di: Compagnoni, Alberto, et al.
Pubblicazione: (2025)

Hyperbolic Safety-Aware Vision-Language Models
di: Poppi, Tobia, et al.
Pubblicazione: (2025)

LLaVA-MORE: A Comparative Study of LLMs and Visual Backbones for Enhanced Visual Instruction Tuning
di: Cocchi, Federico, et al.
Pubblicazione: (2025)

Wiki-LLaVA: Hierarchical Retrieval-Augmented Generation for Multimodal LLMs
di: Caffagni, Davide, et al.
Pubblicazione: (2024)

Recurrence-Enhanced Vision-and-Language Transformers for Robust Multimodal Document Retrieval
di: Caffagni, Davide, et al.
Pubblicazione: (2025)

Safe-CLIP: Removing NSFW Concepts from Vision-and-Language Models
di: Poppi, Samuele, et al.
Pubblicazione: (2023)

RaTA-Tool: Retrieval-based Tool Selection with Multimodal Large Language Models
di: Mattioli, Gabriele, et al.
Pubblicazione: (2026)

What Changed? Detecting and Evaluating Instruction-Guided Image Edits with Multimodal Large Language Models
di: Baraldi, Lorenzo, et al.
Pubblicazione: (2025)

BRIDGE: Bridging Gaps in Image Captioning Evaluation with Stronger Visual Cues
di: Sarto, Sara, et al.
Pubblicazione: (2024)

Learning to Mask and Permute Visual Tokens for Vision Transformer Pre-Training
di: Baraldi, Lorenzo, et al.
Pubblicazione: (2023)

Towards Retrieval-Augmented Architectures for Image Captioning
di: Sarto, Sara, et al.
Pubblicazione: (2024)

Recurrence Meets Transformers for Universal Multimodal Retrieval
di: Caffagni, Davide, et al.
Pubblicazione: (2025)

Contrasting Deepfakes Diffusion via Contrastive Learning and Global-Local Similarities
di: Baraldi, Lorenzo, et al.
Pubblicazione: (2024)

Tiny Inference-Time Scaling with Latent Verifiers
di: Bucciarelli, Davide, et al.
Pubblicazione: (2026)

Seeing Beyond Words: Self-Supervised Visual Learning for Multimodal Large Language Models
di: Caffagni, Davide, et al.
Pubblicazione: (2025)

CounterVid: Counterfactual Video Generation for Mitigating Action and Temporal Hallucinations in Video-Language Models
di: Poppi, Tobia, et al.
Pubblicazione: (2026)

BFS-PO: Best-First Search for Large Reasoning Models
di: Parascandolo, Fiorenzo, et al.
Pubblicazione: (2026)

ReAG: Reasoning-Augmented Generation for Knowledge-based Visual Question Answering
di: Compagnoni, Alberto, et al.
Pubblicazione: (2025)

Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images
di: Amoroso, Roberto, et al.
Pubblicazione: (2023)

EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models
di: Du, Mengfei, et al.
Pubblicazione: (2024)

Fashion-RAG: Multimodal Fashion Image Editing via Retrieval-Augmented Generation
di: Sanguigni, Fulvio, et al.
Pubblicazione: (2025)

RS5M and GeoRSCLIP: A Large Scale Vision-Language Dataset and A Large Vision-Language Model for Remote Sensing
di: Zhang, Zilun, et al.
Pubblicazione: (2023)

IRR: Image Review Ranking Framework for Evaluating Vision-Language Models
di: Hayashi, Kazuki, et al.
Pubblicazione: (2024)

Analyzing Diffusion and Autoregressive Vision Language Models in Multimodal Embedding Space
di: Wang, Zihang, et al.
Pubblicazione: (2026)

Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding
di: Wang, Xintong, et al.
Pubblicazione: (2024)

POLYCHARTQA: Benchmarking Large Vision-Language Models with Multilingual Chart Question Answering
di: Xu, Yichen, et al.
Pubblicazione: (2025)

Vision as a Dialect: Unifying Visual Understanding and Generation via Text-Aligned Representations
di: Han, Jiaming, et al.
Pubblicazione: (2025)

Talking to DINO: Bridging Self-Supervised Vision Backbones with Language for Open-Vocabulary Segmentation
di: Barsellotti, Luca, et al.
Pubblicazione: (2024)

Prompt-OT: An Optimal Transport Regularization Paradigm for Knowledge Preservation in Vision-Language Model Adaptation
di: Chen, Xiwen, et al.
Pubblicazione: (2025)

AIGeN: An Adversarial Approach for Instruction Generation in VLN
di: Rawal, Niyati, et al.
Pubblicazione: (2024)

Fluent and Accurate Image Captioning with a Self-Trained Reward Model
di: Moratelli, Nicholas, et al.
Pubblicazione: (2024)

Harnessing Self-Supervised Features for Art Classification
di: Melis, Federico, et al.
Pubblicazione: (2026)

Few Channels Draw The Whole Picture: Revealing Massive Activations in Diffusion Transformers
di: Turri, Evelyn, et al.
Pubblicazione: (2026)

Learning Compact Vision Tokens for Efficient Large Multimodal Models
di: Tang, Hao, et al.
Pubblicazione: (2025)

Words or Vision: Do Vision-Language Models Have Blind Faith in Text?
di: Deng, Ailin, et al.
Pubblicazione: (2025)