Revisiting Zero-Shot Abstractive Summarization in the Era of Large Language Models from the Perspective of Position Bias

Ähnliche Einträge

• Assessing LLMs for Zero-shot Abstractive Summarization Through the Lens of Relevance Paraphrasing
  von: Askari, Hadi, et al.
  Veröffentlicht: (2024)
• Less Diverse, Less Safe: The Indirect But Pervasive Risk of Test-Time Scaling in Large Language Models
  von: Nahin, Shahriar Kabir, et al.
  Veröffentlicht: (2025)
• LayerIF: Estimating Layer Quality for Large Language Models using Influence Functions
  von: Askari, Hadi, et al.
  Veröffentlicht: (2025)
• Incentivizing News Consumption on Social Media Platforms Using Large Language Models and Realistic Bot Accounts
  von: Askari, Hadi, et al.
  Veröffentlicht: (2024)
• Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization
  von: Chrysostomou, George, et al.
  Veröffentlicht: (2023)