Focal Interest
Focal Interest

Topic Modeling

External reference: https://openalex.org/T10028

  1. Survey maps graph roles in retrieval-augmented generation
    Survey of graph-based techniques in retrieval-augmented generation systems, examining their roles in database construction, algorithms, and reasoning with structured knowledge.
  2. Retrieval and structural priors improve parameter-efficient code representations
    Learn how retrieval augmentation and structural priors enhance parameter-efficient code representations while using only 5% of standard fine-tuning parameters.
  3. A benchmark of expert-level academic questions to assess AI capabilities
    HLE benchmark reveals substantial gap between state-of-the-art LLMs and expert human performance on 2,500 closed-ended academic questions across mathematics, humanities, and natural sciences.