Understanding and Mitigating Hallucinations in Multimodal Chain-of-Thought Models

Documenti analoghi

• Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers
  di: Ma, Ji, et al.
  Pubblicazione: (2025)
• Hallucination-aware intermediate representation edit in large vision-language models
  di: Suo, Wei, et al.
  Pubblicazione: (2026)
• C3L: Content Correlated Vision-Language Instruction Tuning Data Generation via Contrastive Learning
  di: Ma, Ji, et al.
  Pubblicazione: (2024)
• Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models
  di: Fu, Mingyu, et al.
  Pubblicazione: (2025)
• Pruning All-Rounder: Rethinking and Improving Inference Efficiency for Large Vision Language Models
  di: Suo, Wei, et al.
  Pubblicazione: (2024)