Imagen de Portada

BloomVQA: Assessing Hierarchical Multi-modal Comprehension

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Gong, Yunye, Shrestha, Robik, Claypoole, Jared, Cogswell, Michael, Ray, Arijit, Kanan, Christopher, Divakaran, Ajay
Formato:	Preprint
Publicado:	2023
Materias:	Computer Vision and Pattern Recognition Computation and Language Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Document Understanding, Measurement, and Manipulation Using Category Theory
por: Claypoole, Jared, et al.
Publicado: (2025)

Visual Grounding Methods for VQA are Working for the Wrong Reasons!
por: Shrestha, Robik, et al.
Publicado: (2020)

Punching Bag vs. Punching Person: Motion Transferability in Videos
por: Abdullah, Raiyaan, et al.
Publicado: (2025)

Improving Multimodal Large Language Models Using Continual Learning
por: Srivastava, Shikhar, et al.
Publicado: (2024)

Probing Conceptual Understanding of Large Visual-Language Models
por: Schiappa, Madeline, et al.
Publicado: (2023)

Revisiting Multi-Modal LLM Evaluation
por: Lu, Jian, et al.
Publicado: (2024)

Are Bias Mitigation Techniques for Deep Learning Effective?
por: Shrestha, Robik, et al.
Publicado: (2021)

Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models
por: Chen, Yangyi, et al.
Publicado: (2023)

DRESS: Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback
por: Chen, Yangyi, et al.
Publicado: (2023)

A Video is Worth 10,000 Words: Training and Benchmarking with Diverse Captions for Better Long Video Retrieval
por: Gwilliam, Matthew, et al.
Publicado: (2023)

Multimodal LLM With Hierarchical Mixture-of-Experts for VQA on 3D Brain MRI
por: Vepa, Arvind Murari, et al.
Publicado: (2025)

Large Multi-modal Model Cartographic Map Comprehension for Textual Locality Georeferencing
por: Wijegunarathna, Kalana, et al.
Publicado: (2025)

GRAM: Global Reasoning for Multi-Page VQA
por: Blau, Tsachi, et al.
Publicado: (2024)

SciVerse: Unveiling the Knowledge Comprehension and Visual Reasoning of LMMs on Multi-modal Scientific Problems
por: Guo, Ziyu, et al.
Publicado: (2025)

CommVQA: Situating Visual Question Answering in Communicative Contexts
por: Naik, Nandita Shankar, et al.
Publicado: (2024)

Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought Verification
por: Sahu, Pritish, et al.
Publicado: (2024)

DetectiumFire: A Comprehensive Multi-modal Dataset Bridging Vision and Language for Fire Understanding
por: Liu, Zixuan, et al.
Publicado: (2025)

Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis
por: Fu, Chaoyou, et al.
Publicado: (2024)

GRASP: A Rehearsal Policy for Efficient Online Continual Learning
por: Harun, Md Yousuf, et al.
Publicado: (2023)

MedFrameQA: A Multi-Image Medical VQA Benchmark for Clinical Reasoning
por: Yu, Suhao, et al.
Publicado: (2025)

Large Multi-modal Models Can Interpret Features in Large Multi-modal Models
por: Zhang, Kaichen, et al.
Publicado: (2024)

Multi-modal Semantic Understanding with Contrastive Cross-modal Feature Alignment
por: Zhang, Ming, et al.
Publicado: (2024)

Attribute Diversity Determines the Systematicity Gap in VQA
por: Berlot-Attwell, Ian, et al.
Publicado: (2023)

CHiP: Cross-modal Hierarchical Direct Preference Optimization for Multimodal LLMs
por: Fu, Jinlan, et al.
Publicado: (2025)

Multi-modal Data Spectrum: Multi-modal Datasets are Multi-dimensional
por: Madaan, Divyam, et al.
Publicado: (2025)

OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses
por: Shrestha, Robik, et al.
Publicado: (2022)

Face-Human-Bench: A Comprehensive Benchmark of Face and Human Understanding for Multi-modal Assistants
por: Qin, Lixiong, et al.
Publicado: (2025)

Plot2Code: A Comprehensive Benchmark for Evaluating Multi-modal Large Language Models in Code Generation from Scientific Plots
por: Wu, Chengyue, et al.
Publicado: (2024)

Illusory VQA: Benchmarking and Enhancing Multimodal Models on Visual Illusions
por: Rostamkhani, Mohammadmostafa, et al.
Publicado: (2024)

CiteVQA: Benchmarking Evidence Attribution for Trustworthy Document Intelligence
por: Ma, Dongsheng, et al.
Publicado: (2026)

ReasVQA: Advancing VideoQA with Imperfect Reasoning Process
por: Liang, Jianxin, et al.
Publicado: (2025)

VaseVQA: Multimodal Agent and Benchmark for Ancient Greek Pottery
por: Ge, Jinchao, et al.
Publicado: (2025)

Efficient Whole Slide Pathology VQA via Token Compression
por: Lyu, Weimin, et al.
Publicado: (2025)

MINDS: A Cross-cultural Dialogue Corpus for Social Norm Classification and Adherence Detection
por: Sahu, Pritish, et al.
Publicado: (2025)

EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents
por: Yang, Rui, et al.
Publicado: (2025)

Assessing News Thumbnail Representativeness: Counterfactual text can enhance the cross-modal matching ability
por: Yoon, Yejun, et al.
Publicado: (2024)

Instruct-Imagen: Image Generation with Multi-modal Instruction
por: Hu, Hexiang, et al.
Publicado: (2024)

Few-Shot VQA with Frozen LLMs: A Tale of Two Approaches
por: Sterner, Igor, et al.
Publicado: (2024)

Memory-Augmented Multimodal LLMs for Surgical VQA via Self-Contained Inquiry
por: Hou, Wenjun, et al.
Publicado: (2024)

IllusionVQA: A Challenging Optical Illusion Dataset for Vision Language Models
por: Shahgir, Haz Sameen, et al.
Publicado: (2024)