Authors NVIDIA (Allan), : (Allan), Aaron Blakeman (Allan), Aaron Thomas (Allan), Aastha Jhunjhunwala (Allan), Abhibha Gupta (Allan), Abhinav Khattar (Allan), Adam Rajfer (Allan), Adi Renduchintala (Allan), Adil Asif (Allan), Aditya Vavre (Allan), Adriana Flores Miranda (Allan), Ahmad Bilal (Allan), Aileen Zaman (Allan), Ajay Hotchandani (Allan), Akanksha Shukla (Allan), Akhiad Bercovich (Allan), Aleksander Ficek (Allan), Alex Gronskiy (Allan), Alex Kondratenko (Allan), Alex Steiner (Allan), Alex Ye (Allan), Alexander Bukharin (Allan), Alexandre Milesi (Allan), Ali Taghibakhshi (Allan), Alice Gatti (Allan), Alisa Liu (Allan), Alok Kumar (Allan), Amar Phanishayee (Allan), Ameya Sunil Mahabaleshwarkar (Allan), Amir Klein (Allan), Amit Zuker (Allan), Amnon Geifman (Allan), Anahita Bhiwandiwalla (Allan), Ananth Subramaniam (Allan), Andrea Santilli (Allan), Andrew Fulks (Allan), Andrew McHarg (Allan), Andrew Tao (Allan), Andrii Skliar (Allan), Anjulie Agrusa (Allan), Ankur Srivastava 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Released 2026-06-17 (22d ago) Topic Relation to my work Read next because Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning overlaps with clean result "LoRA persona trained on <A> alone emits <B> at 23.5% when a co-trained partner learns <A>...<B>, vs 0% control on Qwen2.5-7B-Instruct (MODERATE confidence)", clean result "Leakage rate is a usable signal for recovering trigger-shaped phrases on Gaperon-1125-1B without knowing the hidden trigger itself (MODERATE confidence)", clean result "Language-mismatch LoRA SFT on Qwen2.5-7B leaks the trained completion language into bystander directives the model was never trained on, absent under same-language SFT (LOW confidence)". Matching terms: text, source, token, recipe, compare, control, trained, length. Source: arxiv cs.CL (NLP).
arXiv 2606.15007