Cover Image

Enhancing Multimodal Large Language Models for Safety-Critical Driving Video Analysis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Trinci, Tomaso, Monteagudo, Henrique Piñeiro, Taccari, Leonardo
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RendBEV: Semantic Novel View Synthesis for Self-Supervised Bird's Eye View Segmentation
by: Monteagudo, Henrique Piñeiro, et al.
Published: (2025)

Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning
by: Magistri, Simone, et al.
Published: (2024)

SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets
by: Mo, Zhaobin, et al.
Published: (2025)

Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models
by: Khanal, Bidur, et al.
Published: (2025)

ReGentS: Real-World Safety-Critical Driving Scenario Generation Made Stable
by: Yin, Yuan, et al.
Published: (2024)

LLM-attacker: Enhancing Closed-loop Adversarial Scenario Generation for Autonomous Driving with Large Language Models
by: Mei, Yuewen, et al.
Published: (2025)

Visual Prompting in Multimodal Large Language Models: A Survey
by: Wu, Junda, et al.
Published: (2024)

Introducing Visual Perception Token into Multimodal Large Language Model
by: Yu, Runpeng, et al.
Published: (2025)

Sum-of-Checks: Structured Reasoning for Surgical Safety with Large Vision-Language Models
by: You, Weiqiu, et al.
Published: (2026)

ViewpointDepth: A New Dataset for Monocular Depth Estimation Under Viewpoint Shifts
by: Pjetri, Aurel, et al.
Published: (2024)

Language Integration in Fine-Tuning Multimodal Large Language Models for Image-Based Regression
by: Jennings, Roy H., et al.
Published: (2025)

SSAM: Singular Subspace Alignment for Merging Multimodal Large Language Models
by: Reza, Md Kaykobad, et al.
Published: (2026)

Hierarchical Safety Realignment: Lightweight Restoration of Safety in Pruned Large Vision-Language Models
by: Li, Yue, et al.
Published: (2025)

CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answering
by: Huai, Tianyu, et al.
Published: (2025)

Advancing Egocentric Video Question Answering with Multimodal Large Language Models
by: Patel, Alkesh, et al.
Published: (2025)

Visual-Guided Key-Token Regularization for Multimodal Large Language Model Unlearning
by: Cai, Chengyi, et al.
Published: (2026)

Predictive Regularization Against Visual Representation Degradation in Multimodal Large Language Models
by: Wang, Enguang, et al.
Published: (2026)

WorldVQA: Measuring Atomic World Knowledge in Multimodal Large Language Models
by: Zhou, Runjie, et al.
Published: (2026)

ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area
by: Li, Junxian, et al.
Published: (2024)

ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation Detection
by: Sun, Zhihao, et al.
Published: (2024)

Towards Large-scale Chemical Reaction Image Parsing via a Multimodal Large Language Model
by: Chen, Yufan, et al.
Published: (2025)

LaVy: Vietnamese Multimodal Large Language Model
by: Tran, Chi, et al.
Published: (2024)

Reasoning-Guided Grounding: Elevating Video Anomaly Detection through Multimodal Large Language Models
by: Agarwal, Sakshi, et al.
Published: (2026)

TA-Prompting: Enhancing Video Large Language Models for Dense Video Captioning via Temporal Anchors
by: Cheng, Wei-Yuan, et al.
Published: (2026)

DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models
by: Tao, Keda, et al.
Published: (2024)

Octopus: History-Free Gradient Orthogonalization for Continual Learning in Multimodal Large Language Models
by: Liu, Yuehao, et al.
Published: (2026)

Grounding Multimodal Large Language Models with Quantitative Skin Attributes: A Retrieval Study
by: Torop, Max, et al.
Published: (2025)

Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models
by: Xie, Baao, et al.
Published: (2024)

Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models
by: Zheng, Kening, et al.
Published: (2024)

LHRS-Bot: Empowering Remote Sensing with VGI-Enhanced Large Multimodal Language Model
by: Muhtar, Dilxat, et al.
Published: (2024)

AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving
by: Xing, Shuo, et al.
Published: (2024)

A Safety-Adapted Loss for Pedestrian Detection in Automated Driving
by: Lyssenko, Maria, et al.
Published: (2024)

Bridging Compressed Image Latents and Multimodal Large Language Models
by: Kao, Chia-Hao, et al.
Published: (2024)

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

On Domain-Adaptive Post-Training for Multimodal Large Language Models
by: Cheng, Daixuan, et al.
Published: (2024)

Investigating and Enhancing Vision-Audio Capability in Omnimodal Large Language Models
by: Hu, Rui, et al.
Published: (2025)

Fast-Slow Efficient Training for Multimodal Large Language Models via Visual Token Pruning
by: Zhang, Dingkun, et al.
Published: (2026)

CapeLLM: Support-Free Category-Agnostic Pose Estimation with Multimodal Large Language Models
by: Kim, Junho, et al.
Published: (2024)

Toward Unified Multimodal Representation Learning for Autonomous Driving
by: Tao, Ximeng, et al.
Published: (2026)

Universal Camouflage Attack on Vision-Language Models for Autonomous Driving
by: Kong, Dehong, et al.
Published: (2025)