Zeng et al. (2024b) introduced 'Memorize step by step', a method for efficient long-context prefilling in large language models using incremental memory and decremental chunking, published in the Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing.

Authors

• Person: Not available Organization: arXiv
  A Survey of Incorporating Psychological Theories in LLMs - arXiv

Sources

• A Survey of Incorporating Psychological Theories in LLMs - arXiv arxiv.org arXiv via serper

Referenced by nodes (1)

• Large Language Models concept