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• CPT: Colorful Prompt Tuning for Pre-trained Vision-Language Models
  2021 · 86 citations
• Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions
  2023 · 11 citations
• Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models
  2023 · 7 citations
• PEVL: Position-enhanced Pre-training and Prompt Tuning for Vision-language Models
  2022 · 4 citations
• Generative Cross-Modal Retrieval: Memorizing Images in Multimodal Language Models for Retrieval and Beyond
  2024 · 1 citations
• Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence
  2024 · 1 citations
• Lingua-SafetyBench: A Benchmark for Safety Evaluation of Multilingual Vision-Language Models
  2026
• NExT-OMNI: Towards Any-to-Any Omnimodal Foundation Models with Discrete Flow Matching
  2025
• RoboOmni: Proactive Robot Manipulation in Omni-modal Context
  2025
• UniFGVC: Universal Training-Free Few-Shot Fine-Grained Vision Classification via Attribute-Aware Multimodal Retrieval
  2025
• TextVidBench: A Benchmark for Long Video Scene Text Understanding
  2025
• MUPA: Towards Multi-Path Agentic Reasoning for Grounded Video Question Answering
  2025
• SemCORE: A Semantic-Enhanced Generative Cross-Modal Retrieval Framework with MLLMs
  2025
• Learnable Pillar-based Re-ranking for Image-Text Retrieval
  2023
• Auto-Encoding Morph-Tokens for Multimodal LLM
  2024