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Author

Mahmoud Amiri

2 papers indexed here

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#large language models Review Open access Oct 2026

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

A cross-layer framework that brings constraints together and examines whether resource-allocation strategies observed in human cognition can inform more sustainable AI design, and extends Green AI by linking these layers and translating insights from human cognition into testable design hypotheses and measurable evalua...

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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