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• Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios
  2024 · 1 citations
• Clearer Sight, Fewer Lies: Oriented Pickup Preference Optimization for Multimodal Hallucination Mitigation
  2026
• Learning from Fine-Grained Visual Discrepancies: Mitigating Multimodal Hallucinations via In-Context Visual Contrastive Optimization
  2026
• Consistency as Inductive Bias: Learning Cross-View Invariance for Robust Multimodal Reasoning
  2026
• When Looking Is Not Enough: Visual Attention Structure Reveals Hallucination in MLLMs
  2026
• Temporal Gains, Spatial Costs: Revisiting Video Fine-Tuning in Multimodal Large Language Models
  2026
• Sculpting the Vector Space: Towards Efficient Multi-Vector Visual Document Retrieval via Prune-then-Merge Framework
  2026
• Vision-Language Introspection: Mitigating Overconfident Hallucinations in MLLMs via Interpretable Bi-Causal Steering
  2026
• Don't Just Chase "Highlighted Tokens" in MLLMs: Revisiting Visual Holistic Context Retention
  2025
• Andesvl Technical Report: An Efficient Mobile-side Multimodal Large Language Model
  2025
• Docpruner: A Storage-efficient Framework For Multi-vector Visual Document Retrieval Via Adaptive Patch-level Embedding Pruning
  2025