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  1. Oct 8, 2026 · Research paper · 1 source
    SFT-as-Context Mitigates Forgetting in Supervised Fine-Tuning
    We introduce SFT-as-context, a training-free method in which the parent model uses the SFT model's response as context to answer the query.
  2. Oct 7, 2026 · Opinion / analysis · 1 source
    One Model Family, Two Gold-Level Results: Fine-Tuning Nemotron for IOI and IMO
    Starting from Nemotron 3, our teams used supervised fine-tuning (SFT), reinforcement learning (RL), and feedback-driven inference to create systems that reached gold-medal level at both IMO 2026 and IOI 2026.
  3. Oct 6, 2026 · Research paper · 1 source
    UP-MOPD: Update Projection in Multi-Teacher On-Policy Distillation
    To address this gap, we propose Update Projection for Multi-Teacher On-Policy Distillation (UP-MOPD).

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