conftrace_

multimodal large language model

966 papers

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Also known as

MLLMS M-LLM MLLM

Co-occurring keywords

multimodal learning (4645) benchmark evaluation (1556) large language model (13587) visual question answering (1017) visual reasoning (493) video understanding (1658) instruction tuning (838) vision-language model (2348) chain-of-thought reasoning (551) visual grounding (518)

Papers

When Safe Unimodal Inputs Collide: Optimizing Reasoning Chains for Cross-Modal Safety in Multimodal Large Language Models AAAI 2026

Mitigating Object and Action Hallucinations in Multimodal LLMs via Self-Augmented Contrastive Alignment WACV 2026

Model-free Domain Adaptation for Concealed Multimodal Large-Language Models WACV 2026

KFS-Bench: Comprehensive Evaluation of Key Frame Sampling in Long Video Understanding WACV 2026

Face-LLaVA: Facial Expression and Attribute Understanding through Instruction Tuning WACV 2026

SAVE: Sparse Autoencoder-Driven Visual Information Enhancement for Mitigating Object Hallucination WACV 2026

DermEVAL: A Dermatologist-Reviewed Benchmark for Multimodal Large Language Models WACV 2026

ST-Think: How Multimodal Large Language Models Reason About 4D Worlds from Ego-Centric Videos WACV 2026

SmokeBench: Evaluating Multimodal Large Language Models for Wildfire Smoke Detection WACV 2026

Understanding the Visual Projection Space of Multimodal LLMs WACV 2026

GHOST: Getting to the Bottom of Hallucinations with A Multi-round Consistency Benchmark WACV 2026

Distilling What and Why: Enhancing Driver Intention Prediction with MLLMs WACV 2026

EVTP-IVS: Effective Visual Token Pruning For Unifying Instruction Visual Segmentation In Multi-Modal Large Language Models WACV 2026

InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection EACL 2026

SPARTA: Evaluating Reasoning Segmentation Robustness through Black-Box Adversarial Paraphrasing in Text Autoencoder Latent Space EACL 2026

Taming Object Hallucinations with Verified Atomic Confidence Estimation EACL 2026

RotBench: Evaluating Multi-modal Large Language Models on Identifying Image Rotation EACL 2026

Can MLLMs Find Their Way in a City? Exploring Emergent Navigation from Web-Scale Knowledge EACL 2026

Mask What Matters: Mitigating Object Hallucinations in Multimodal Large Language Models with Object-Aligned Visual Contrastive Decoding EACL 2026

VideoMind: Thinking in Steps for Long Video Understanding EACL 2026

Multimodal Large Language Models for Human-AI Interaction: Foundations, Agents, and Inclusive Applications EACL 2026

Efficient Table Retrieval and Understanding with Multimodal Large Language Models EACL 2026

RADAR: A Reasoning-Guided Attribution Framework for Explainable Visual Data Analysis EACL 2026

Multimodal Claim Extraction for Fact-Checking EACL 2026

Probing Semantic Insensitivity for Inference-Time Backdoor Defense in Multimodal Large Language Model AAAI 2026