Papers

• Enhanced OoD Detection through Cross-Modal Alignment of Multi-Modal Representations (2025)
  Jeonghyeon Kim et al.
  4.47
• AVERE: Improving Audiovisual Emotion Reasoning with Preference Optimization (2026)
  Ashutosh Chaubey et al.
  1.94
• LoMo: Local Modality Substitution for Deeper Vision-Language Fusion (2026)
  Feng Han et al.
  1.94
• Beyond Language Modeling: An Exploration of Multimodal Pretraining (2026)
  Shengbang Tong et al.
  1.78
• VisualSimpleQA: A Benchmark for Decoupled Evaluation of Large Vision-Language Models in Fact-Seeking Question Answering (2025)
  Yanling Wang et al.
  1.28
• Unicorn: Text-Only Data Synthesis for Vision Language Model Training (2025)
  Xiaomin Yu et al.
  1.28
• Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models (2025)
  Weihao Xuan et al.
  1.28
• Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability (2025)
  Haiqi Yang et al.
  1.28
• AU-Harness: An Open-Source Toolkit for Holistic Evaluation of Audio LLMs (2025)
  Sidharth Surapaneni et al.
  1.28
• OmniVideoBench: Towards Audio-Visual Understanding Evaluation for Omni MLLMs (2025)
  Caorui Li et al.
  1.28
• Omni-Reward: Towards Generalist Omni-Modal Reward Modeling with Free-Form Preferences (2025)
  Zhuoran Jin et al.
  1.28
• The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio (2024)
  Sicong Leng et al.
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