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Author

Mahmoud Amiri

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#large language models Review Oct 2026

Energy constraints in large scale artificial intelligence and insights from human cognition for efficient large language models

Abstract Large-scale artificial intelligence (AI) systems, especially large language models (LLMs), face growing constraints related to energy use, power delivery, memory traffic, experimentation, and infrastructure capacity. These pressures are often studied separately, which makes it difficult to understand how they...

Mahmoud Amiri, Azadeh Mokari, Thomas Bocklitz · 0 citations

Chunk Twice, Embed Once: A Systematic Study of Segmentation and Representation Trade-offs in Chemistry-Aware Retrieval-Augmented Generation

Chunk-level, Massive Text Embedding Benchmark (MTEB)-compatible retrieval benchmarks are constructed and medium-to-large chunks combined with fixed-token, recursive-token, or hierarchical-section chunking provide a practical starting point for the retrieval stage of chemistry-aware RAG.

Mahmoud Amiri, Thomas Bocklitz · 8 citations · ⚡1

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