Cover Image

Enhancing Interpretability for Vision Models via Shapley Value Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fan, Kanglong, Yang, Yunqiao, Ma, Chen
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SUPERGLASSES: Benchmarking Vision Language Models as Intelligent Agents for AI Smart Glasses
by: Jiang, Zhuohang, et al.
Published: (2026)

Interpreting and Enhancing Emotional Circuits in Large Vision-Language Models via Cross-Modal Information Flow
by: Zhang, Chengsheng, et al.
Published: (2026)

Enhancing Medical Large Vision-Language Models via Alignment Distillation
by: Chang, Aofei, et al.
Published: (2025)

MathCoder-VL: Bridging Vision and Code for Enhanced Multimodal Mathematical Reasoning
by: Wang, Ke, et al.
Published: (2025)

LayoutVLM: Differentiable Optimization of 3D Layout via Vision-Language Models
by: Sun, Fan-Yun, et al.
Published: (2024)

Vision Language Model for Interpretable and Fine-grained Detection of Safety Compliance in Diverse Workplaces
by: Chen, Zhiling, et al.
Published: (2024)

Scanpath Prediction in Panoramic Videos via Expected Code Length Minimization
by: Li, Mu, et al.
Published: (2023)

Beyond Vision: How Large Language Models Interpret Facial Expressions from Valence-Arousal Values
by: Mehra, Vaibhav, et al.
Published: (2025)

Vision-R1: Evolving Human-Free Alignment in Large Vision-Language Models via Vision-Guided Reinforcement Learning
by: Zhan, Yufei, et al.
Published: (2025)

IFViT: Interpretable Fixed-Length Representation for Fingerprint Matching via Vision Transformer
by: Qiu, Yuhang, et al.
Published: (2024)

Interpretable Debiasing of Vision-Language Models for Social Fairness
by: An, Na Min, et al.
Published: (2026)

Lightweight Multimodal Adaptation of Vision Language Models for Species Recognition and Habitat Context Interpretation in Drone Thermal Imagery
by: Chen, Hao, et al.
Published: (2026)

Florence-VL: Enhancing Vision-Language Models with Generative Vision Encoder and Depth-Breadth Fusion
by: Chen, Jiuhai, et al.
Published: (2024)

Seeing It or Not? Interpretable Vision-aware Latent Steering to Mitigate Object Hallucinations
by: Chen, Boxu, et al.
Published: (2025)

SwiftVLM: Efficient Vision-Language Model Inference via Cross-Layer Token Bypass
by: Qian, Chen, et al.
Published: (2026)

DLaVA: Document Language and Vision Assistant for Answer Localization with Enhanced Interpretability and Trustworthiness
by: Mohammadshirazi, Ahmad, et al.
Published: (2024)

Flash-VL 2B: Optimizing Vision-Language Model Performance for Ultra-Low Latency and High Throughput
by: Zhang, Bo, et al.
Published: (2025)

Vision-Language Introspection: Mitigating Overconfident Hallucinations in MLLMs via Interpretable Bi-Causal Steering
by: Liu, Shuliang, et al.
Published: (2026)

AdPO: Enhancing the Adversarial Robustness of Large Vision-Language Models with Preference Optimization
by: Liu, Chaohu, et al.
Published: (2025)

SD-VLM: Spatial Measuring and Understanding with Depth-Encoded Vision-Language Models
by: Chen, Pingyi, et al.
Published: (2025)

Vision-Enhanced Time Series Forecasting via Latent Diffusion Models
by: Ruan, Weilin, et al.
Published: (2025)

SIA: Enhancing Safety via Intent Awareness for Vision-Language Models
by: Na, Youngjin, et al.
Published: (2025)

Balanced Token Pruning: Accelerating Vision Language Models Beyond Local Optimization
by: Li, Kaiyuan, et al.
Published: (2025)

V-DPO: Mitigating Hallucination in Large Vision Language Models via Vision-Guided Direct Preference Optimization
by: Xie, Yuxi, et al.
Published: (2024)

Prompt Triage: Structured Optimization Enhances Vision-Language Model Performance on Medical Imaging Benchmarks
by: Singhvi, Arnav, et al.
Published: (2025)

Perceptio: Perception Enhanced Vision Language Models via Spatial Token Generation
by: Li, Yuchen, et al.
Published: (2026)

Uncertainty-Aware Concept Bottleneck Models with Enhanced Interpretability
by: Zhang, Haifei, et al.
Published: (2025)

Systematic Evaluation of Vision Transformers for Automated Cervical Cancer Classification: Optimization, Statistical Validation, and Clinical Interpretability
by: Albzour, Nisreen, et al.
Published: (2026)

KEPT: Knowledge-Enhanced Prediction of Trajectories from Consecutive Driving Frames with Vision-Language Models
by: Wang, Yujin, et al.
Published: (2025)

Counting Circuits: Mechanistic Interpretability of Visual Reasoning in Large Vision-Language Models
by: Che, Liwei, et al.
Published: (2026)

VLM-HOI: Vision Language Models for Interpretable Human-Object Interaction Analysis
by: Kang, Donggoo, et al.
Published: (2024)

[Re] Improving Interpretation Faithfulness for Vision Transformers
by: Kurek, Izabela, et al.
Published: (2025)

Causal Interpretation of Sparse Autoencoder Features in Vision
by: Han, Sangyu, et al.
Published: (2025)

Qianfan-VL: Domain-Enhanced Universal Vision-Language Models
by: Dong, Daxiang, et al.
Published: (2025)

PyVision-RL: Forging Open Agentic Vision Models via RL
by: Zhao, Shitian, et al.
Published: (2026)

Cross-Layer Vision Smoothing: Enhancing Visual Understanding via Sustained Focus on Key Objects in Large Vision-Language Models
by: Zhao, Jianfei, et al.
Published: (2025)

OmniMRI: A Unified Vision--Language Foundation Model for Generalist MRI Interpretation
by: He, Xingxin, et al.
Published: (2025)

Dragonfly: Multi-Resolution Zoom-In Encoding Enhances Vision-Language Models
by: Thapa, Rahul, et al.
Published: (2024)

MM-Skin: Enhancing Dermatology Vision-Language Model with an Image-Text Dataset Derived from Textbooks
by: Zeng, Wenqi, et al.
Published: (2025)

Learning What Matters: Dynamic Dimension Selection and Aggregation for Interpretable Vision-Language Reward Modeling
by: Chen, Qiyuan, et al.
Published: (2026)