Cover Image

Artwork Interpretation with Vision Language Models: A Case Study on Emotions and Emotion Symbols

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Padó, Sebastian, Thomas, Kerstin
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Evaluating Vision-Language Models for Emotion Recognition
by: Bhattacharyya, Sree, et al.
Published: (2025)

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models
by: Xing, Bohao, et al.
Published: (2025)

Anatomy of a Feeling: Narrating Embodied Emotions via Large Vision-Language Models
by: Saim, Mohammad, et al.
Published: (2025)

Attribute-Grounded Selective Reasoning for Artwork Emotion Understanding with Multimodal Large Language Models
by: Zhang, Cheng, et al.
Published: (2026)

EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions
by: Chen, Kai, et al.
Published: (2024)

Explaining Caption-Image Interactions in CLIP Models with Second-Order Attributions
by: Möller, Lucas, et al.
Published: (2024)

FlightGPT: Towards Generalizable and Interpretable UAV Vision-and-Language Navigation with Vision-Language Models
by: Cai, Hengxing, et al.
Published: (2025)

Decoding Emotions in Abstract Art: Cognitive Plausibility of CLIP in Recognizing Color-Emotion Associations
by: Widhoelzl, Hanna-Sophia, et al.
Published: (2024)

Kiki or Bouba? Sound Symbolism in Vision-and-Language Models
by: Alper, Morris, et al.
Published: (2023)

A Vision-Language Foundation Model to Enhance Efficiency of Chest X-ray Interpretation
by: Chen, Zhihong, et al.
Published: (2024)

The Art That Poses Back: Assessing AI Pastiches after Contemporary Artworks
by: Dinu, Anca, et al.
Published: (2026)

Towards Artwork Explanation in Large-scale Vision Language Models
by: Hayashi, Kazuki, et al.
Published: (2024)

From Behavioral Performance to Internal Competence: Interpreting Vision-Language Models with VLM-Lens
by: Sheta, Hala, et al.
Published: (2025)

The Mechanistic Emergence of Symbol Grounding in Language Models
by: Wu, Shuyu, et al.
Published: (2025)

VAEER: Visual Attention-Inspired Emotion Elicitation Reasoning
by: Man, Fanhang, et al.
Published: (2025)

IPO: Interpretable Prompt Optimization for Vision-Language Models
by: Du, Yingjun, et al.
Published: (2024)

Emotion Recognition in Signers
by: Funakoshi, Kotaro, et al.
Published: (2025)

Do Vision-Language Models Truly Perform Vision Reasoning? A Rigorous Study of the Modality Gap
by: Xu, Yige, et al.
Published: (2026)

CLIP-SVD: Efficient and Interpretable Vision-Language Adaptation via Singular Values
by: Koleilat, Taha, et al.
Published: (2025)

A Joint Study of Phrase Grounding and Task Performance in Vision and Language Models
by: Kojima, Noriyuki, et al.
Published: (2023)

OpenOmni: Advancing Open-Source Omnimodal Large Language Models with Progressive Multimodal Alignment and Real-Time Self-Aware Emotional Speech Synthesis
by: Luo, Run, et al.
Published: (2025)

Multimodal Prompt Learning with Missing Modalities for Sentiment Analysis and Emotion Recognition
by: Guo, Zirun, et al.
Published: (2024)

MIPS at SemEval-2024 Task 3: Multimodal Emotion-Cause Pair Extraction in Conversations with Multimodal Language Models
by: Cheng, Zebang, et al.
Published: (2024)

ReVisionLLM: Recursive Vision-Language Model for Temporal Grounding in Hour-Long Videos
by: Hannan, Tanveer, et al.
Published: (2024)

Contextual Emotion Recognition using Large Vision Language Models
by: Etesam, Yasaman, et al.
Published: (2024)

Beyond Words: Enhancing Desire, Emotion, and Sentiment Recognition with Non-Verbal Cues
by: Chen, Wei, et al.
Published: (2025)

Summarization of Multimodal Presentations with Vision-Language Models: Study of the Effect of Modalities and Structure
by: Gigant, Théo, et al.
Published: (2025)

How Does Vision-Language Adaptation Impact the Safety of Vision Language Models?
by: Lee, Seongyun, et al.
Published: (2024)

Dream-VL & Dream-VLA: Open Vision-Language and Vision-Language-Action Models with Diffusion Language Model Backbone
by: Ye, Jiacheng, et al.
Published: (2025)

Seeing Symbols, Missing Cultures: Probing Vision-Language Models' Reasoning on Fire Imagery and Cultural Meaning
by: Yu, Haorui, et al.
Published: (2025)

Training A Small Emotional Vision Language Model for Visual Art Comprehension
by: Zhang, Jing, et al.
Published: (2024)

Conflict Adaptation in Vision-Language Models
by: Hu, Xiaoyang
Published: (2025)

Vision Language Models are Confused Tourists
by: Irawan, Patrick Amadeus, et al.
Published: (2025)

Enhancing Meme Emotion Understanding with Multi-Level Modality Enhancement and Dual-Stage Modal Fusion
by: Shi, Yi, et al.
Published: (2025)

Improving Arabic Multi-Label Emotion Classification using Stacked Embeddings and Hybrid Loss Function
by: Aslam, Muhammad Azeem, et al.
Published: (2024)

Optimizing Multimodal Language Models through Attention-based Interpretability
by: Sergeev, Alexander, et al.
Published: (2025)

Language Models Meet Anomaly Detection for Better Interpretability and Generalizability
by: Li, Jun, et al.
Published: (2024)

Fusion of Domain-Adapted Vision and Language Models for Medical Visual Question Answering
by: Ha, Cuong Nhat, et al.
Published: (2024)

Natural Language Inference Improves Compositionality in Vision-Language Models
by: Cascante-Bonilla, Paola, et al.
Published: (2024)

Do Vision-Language Models Really Understand Visual Language?
by: Hou, Yifan, et al.
Published: (2024)