Author

Mathias Lechner

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#artificial intelligence Mar 2026

MMAI Gym for Science: Training Liquid Foundation Models for Drug Discovery

Across essential drug discovery tasks - including molecular optimization, ADMET property prediction, retrosynthesis, drug-target activity prediction, and functional group reasoning - the resulting model achieves near specialist-level performance and, in the majority of settings, surpasses larger models, while remaining...

Maksim Kuznetsov, Z. Miftahutdinov, Shayakhmetov Rim et al. · arXiv.org · 1 citation

Jul 2026

In-Place Tokenizer Expansion for Pre-trained LLMs

A tokenizer fixed at the start of pre-training allocates vocabulary in proportion to the pre-training corpus, reflecting the deployment priorities at that time. When those priorities shift, languages added later are split into many more tokens per word, which can raise latency, compute, and energy consumption for users...

Jimmy T.H. Smith, Tarek Dakhran, Alberto Cabrera et al. · arXiv.org · 0 citations