Co-occurring keywords · papers mentioning both
Papers
Towards Understanding How Knowledge Evolves in Large Vision-Language Models
CVPR 2025
Tracking the Copyright of Large Vision-Language Models through Parameter Learning Adversarial Images
ICLR 2025
TruthPrInt: Mitigating Large Vision-Language Models Object Hallucination Via Latent Truthful-Guided Pre-Intervention
ICCV 2025
UI-E2I-Synth: Advancing GUI Grounding with Large-Scale Instruction Synthesis
ACL 2025
Unveiling the Lack of LVLM Robustness to Fundamental Visual Variations: Why and Path Forward
ACL 2025
VASparse: Towards Efficient Visual Hallucination Mitigation via Visual-Aware Token Sparsification
CVPR 2025
VideoEspresso: A Large-Scale Chain-of-Thought Dataset for Fine-Grained Video Reasoning via Core Frame Selection
CVPR 2025
VISCO: Benchmarking Fine-Grained Critique and Correction Towards Self-Improvement in Visual Reasoning
CVPR 2025
Vision-Language Models Can't See the Obvious
ICCV 2025
Visual Description Grounding Reduces Hallucinations and Boosts Reasoning in LVLMs
ICLR 2025
Visual Evidence Prompting Mitigates Hallucinations in Large Vision-Language Models
ACL 2025
VisuoThink: Empowering LVLM Reasoning with Multimodal Tree Search
ACL 2025
VLMInferSlow: Evaluating the Efficiency Robustness of Large Vision-Language Models as a Service
ACL 2025
VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism
ACL 2025
Who Brings the Frisbee: Probing Hidden Hallucination Factors in Large Vision-Language Model via Causality Analysis
WACV 2025
Why LVLMs Are More Prone to Hallucinations in Longer Responses: The Role of Context
ICCV 2025
Your Large Vision-Language Model Only Needs A Few Attention Heads For Visual Grounding
CVPR 2025
Alleviating Hallucinations in Large Vision-Language Models through Hallucination-Induced Optimization
NeurIPS 2024
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
ICLR 2024
AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models
AAAI 2024
Are Large Vision Language Models up to the Challenge of Chart Comprehension and Reasoning
EMNLP 2024
Are We on the Right Way for Evaluating Large Vision-Language Models?
NeurIPS 2024
BBA: Bi-Modal Behavioral Alignment for Reasoning with Large Vision-Language Models
ACL 2024
BloomVQA: Assessing Hierarchical Multi-modal Comprehension
ACL 2024
C3L: Content Correlated Vision-Language Instruction Tuning Data Generation via Contrastive Learning
IJCAI 2024