Ngā tūemi rite

• Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors
  mā: Li, Guozheng, me ētahi atu.
  I whakaputaina: (2024)
• Synergistic Anchored Contrastive Pre-training for Few-Shot Relation Extraction
  mā: Luo, Da, me ētahi atu.
  I whakaputaina: (2023)
• MoCa: Modality-aware Continual Pre-training Makes Better Bidirectional Multimodal Embeddings
  mā: Chen, Haonan, me ētahi atu.
  I whakaputaina: (2025)
• Small Language Model Makes an Effective Long Text Extractor
  mā: Chen, Yelin, me ētahi atu.
  I whakaputaina: (2025)
• Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!
  mā: Ma, Yubo, me ētahi atu.
  I whakaputaina: (2023)