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Researcher profile

Ehsan Doostmohammadi

2 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. Surface-Based Retrieval Reduces Perplexity of Retrieval-Augmented Language Models

    2023

    Augmenting language models with a retrieval mechanism has been shown to significantly improve their performance while keeping the number of parameters low. Retrieval-augmented models commonly rely on a semantic retrieval mechanism based on the similarity …

  2. Studying the Role of Input-Neighbor Overlap in Retrieval-Augmented Language Models Training Efficiency

    2025 · arXiv (Cornell University)

    Retrieval-augmented language models have demonstrated performance comparable to much larger models while requiring fewer computational resources. The effectiveness of these models crucially depends on the overlap between query and retrieved context, but the optimal degree …