Author

A. Banaei

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#machine learning Preprint Oct 2026

From Training Exposure to Membership Evidence: A Controlled Study of OLMo 2

Whether a language model was trained on a document matters for copyright, privacy, and benchmark contamination. Yet most membership-inference (MI) evaluations on language models collect members and non-members after the fact, so success may reflect distribution shift and failure is inconclusive. We re-ran OLMo 2 1B's o...

A. Banaei, Muhammad Shahzad, Gerald Q. Maguire et al. · 0 citations

#machine learning Preprint Oct 2026

Taking Tokenization off the Host for Agentic LLM Serving

GraphTok is presented, a GPU tokenizer that runs the entire encoding pipeline, from pre-tokenization through byte-pair encoding (BPE) merging to token-ID assembly, as one replayable CUDA graph.

Mohammad Siavashi, Pascal Schwinte, A. Banaei et al. · 1 citation