Evaluating the Impact of Post-Training Quantization on Reliable VQA with Multimodal LLMs

Documenti analoghi

• Variational Visual Question Answering for Uncertainty-Aware Selective Prediction
  di: Wieczorek, Tobias Jan, et al.
  Pubblicazione: (2025)
• Memo: Training Memory-Efficient Embodied Agents with Reinforcement Learning
  di: Gupta, Gunshi, et al.
  Pubblicazione: (2025)
• Overcoming Generic Knowledge Loss with Selective Parameter Update
  di: Zhang, Wenxuan, et al.
  Pubblicazione: (2023)
• VeriTaS: The First Dynamic Benchmark for Multimodal Automated Fact-Checking
  di: Rothermel, Mark, et al.
  Pubblicazione: (2026)
• SEM: Sparse Embedding Modulation for Post-Hoc Debiasing of Vision-Language Models
  di: Guimard, Quentin, et al.
  Pubblicazione: (2026)