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    • 🎉 Easily create your own simple yet highly customizable blog
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  • Publications
    • RAPPER: Reinforced Rationale-Prompted Paradigm for Natural Language Explanation in Visual Question Answering
    • Receler: Reliable Concept Erasing of Text-to-Image Diffusion Models via Lightweight Erasers
    • Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models
    • Serial Lifelong Editing via Mixture of Knowledge Experts
    • Videomage: Multi-subject and motion customization of text-to-video diffusion models
    • EMLoC: Emulator-based Memory-efficient Fine-tuning with LoRA Correction
    • TA-Prompting: Enhancing Video Large Language Models for Dense Video Captioning via Temporal Anchors
    • Mitigating Object and Action Hallucinations in Multimodal LLMs via Self-Augmented Contrastive Alignment

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

Kai-Po Chang
,
Wei-Yuan Cheng
,
Chi-Pin Huang
,
Fu-en Yang
,
Yu-Chiang Frank Wang
· 0 min read
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1
Publication
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2026
Last updated on Dec 5, 2025
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← TA-Prompting: Enhancing Video Large Language Models for Dense Video Captioning via Temporal Anchors Jan 1, 0001

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