:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Kim, Dongwan, Ranjan, Viresh, Nagata, Takashi, Dhua, Arnab, C, Amit Kumar K
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	https://arxiv.org/abs/2511.10301
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Leveraging Large Language Models for Multimodal Search
by: Barbany, Oriol, et al.
Published: (2024)

Multimodal RAG Enhanced Visual Description
by: Jaiswal, Amit Kumar, et al.
Published: (2025)

Diversity Over Frequency: Rethinking Tool Use in Visual Chain-of-Thought Agents
by: Kim, Dong-Hee, et al.
Published: (2026)

TimeLens: Rethinking Video Temporal Grounding with Multimodal LLMs
by: Zhang, Jun, et al.
Published: (2025)

CompoDistill: Attention Distillation for Compositional Reasoning in Multimodal LLMs
by: Kim, Jiwan, et al.
Published: (2025)

Visual Accommodation: Rethinking Image Scale as a Learnable Variable for Object Detection
by: Seo, Daeun, et al.
Published: (2024)

Chain-of-Thought Degrades Visual Spatial Reasoning Capabilities of Multimodal LLMs
by: Kancheti, Sai Srinivas, et al.
Published: (2026)

Do MLLMs Really See It: Reinforcing Visual Attention in Multimodal LLMs
by: Ou, Siqu, et al.
Published: (2026)

Rethinking Prompt Design for Inference-time Scaling in Text-to-Visual Generation
by: Kim, Subin, et al.
Published: (2025)

Cross-Modal Projection in Multimodal LLMs Doesn't Really Project Visual Attributes to Textual Space
by: Verma, Gaurav, et al.
Published: (2024)

Slot-MLLM: Object-Centric Visual Tokenization for Multimodal LLM
by: Chi, Donghwan, et al.
Published: (2025)

Knowledge-based Visual Question Answer with Multimodal Processing, Retrieval and Filtering
by: Hong, Yuyang, et al.
Published: (2025)

Learning Disentangled Representation in Object-Centric Models for Visual Dynamics Prediction via Transformers
by: Gandhi, Sanket, et al.
Published: (2024)

Mind's Eye: A Benchmark of Visual Abstraction, Transformation and Composition for Multimodal LLMs
by: Sinha, Rohit, et al.
Published: (2026)

VACoT: Rethinking Visual Data Augmentation with VLMs
by: Xu, Zhengzhuo, et al.
Published: (2025)

Object Detection with Multimodal Large Vision-Language Models: An In-depth Review
by: Sapkota, Ranjan, et al.
Published: (2025)

Mixture of Nested Experts: Adaptive Processing of Visual Tokens
by: Jain, Gagan, et al.
Published: (2024)

PaLMR: Towards Faithful Visual Reasoning via Multimodal Process Alignment
by: Li, Yantao, et al.
Published: (2026)

MambaEye: A Size-Agnostic Visual Encoder with Causal Sequential Processing
by: Choi, Changho, et al.
Published: (2025)

See What You Are Told: Visual Attention Sink in Large Multimodal Models
by: Kang, Seil, et al.
Published: (2025)

HumMUSS: Human Motion Understanding using State Space Models
by: Mondal, Arnab Kumar, et al.
Published: (2024)

Seeing the Trees for the Forest: Rethinking Weakly-Supervised Medical Visual Grounding
by: Huy, Ta Duc, et al.
Published: (2025)

Target-Dependent Multimodal Sentiment Analysis Via Employing Visual-to Emotional-Caption Translation Network using Visual-Caption Pairs
by: Pandey, Ananya, et al.
Published: (2024)

Visual Chronicles: Using Multimodal LLMs to Analyze Massive Collections of Images
by: Deng, Boyang, et al.
Published: (2025)

Euclid: Supercharging Multimodal LLMs with Synthetic High-Fidelity Visual Descriptions
by: Zhang, Jiarui, et al.
Published: (2024)

Rethinking Visual Counterfactual Explanations Through Region Constraint
by: Sobieski, Bartlomiej, et al.
Published: (2024)

Rethinking Normalization Strategies and Convolutional Kernels for Multimodal Image Fusion
by: He, Dan, et al.
Published: (2024)

Rethinking Visual Prompting for Multimodal Large Language Models with External Knowledge
by: Lin, Yuanze, et al.
Published: (2024)

Token Activation Map to Visually Explain Multimodal LLMs
by: Li, Yi, et al.
Published: (2025)

RecruitView: A Multimodal Dataset for Predicting Personality and Interview Performance for Human Resources Applications
by: Gupta, Amit Kumar, et al.
Published: (2025)

Multimodal LLMs Struggle with Basic Visual Network Analysis: a VNA Benchmark
by: Williams, Evan M., et al.
Published: (2024)

GThinker: Towards General Multimodal Reasoning via Cue-Guided Rethinking
by: Zhan, Yufei, et al.
Published: (2025)

Visual Funnel: Resolving Contextual Blindness in Multimodal Large Language Models
by: Jung, Woojun, et al.
Published: (2025)

GazeLLM: Multimodal LLMs incorporating Human Visual Attention
by: Rekimoto, Jun
Published: (2025)

What is the Visual Cognition Gap between Humans and Multimodal LLMs?
by: Cao, Xu, et al.
Published: (2024)

TruthLens: Visual Grounding for Universal DeepFake Reasoning
by: Kundu, Rohit, et al.
Published: (2025)

Thinking Diffusion: Penalize and Guide Visual-Grounded Reasoning in Diffusion Multimodal Language Models
by: Kim, Keuntae, et al.
Published: (2026)

A Thousand Words or An Image: Studying the Influence of Persona Modality in Multimodal LLMs
by: Broomfield, Julius, et al.
Published: (2025)

Rethinking VLMs and LLMs for Image Classification
by: Cooper, Avi, et al.
Published: (2024)

PARTONOMY: Large Multimodal Models with Part-Level Visual Understanding
by: Blume, Ansel, et al.
Published: (2025)