SFT-as-Context Mitigates Forgetting in Supervised Fine-Tuning

arXiv:2610.11132 · cs.CL, cs.AI, cs.LG · Submitted 2026-10-08 · Read on arXiv

cs.CL, cs.AI, cs.LG

Submitted: 2026-10-08

Updated: 2026-10-08

Terminology

• Benchmark — 40× in this paper · explained in 2 episodes
• Fine-Tuning — 23× in this paper · explained in 5 episodes
• Accuracy — 13× in this paper · explained in 1 episode
• Consistency — 11× in this paper · explained in 3 episodes
• In-Context Learning — 11× in this paper · explained in 4 episodes
• Reinforcement Learning — 9× in this paper · explained in 4 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Bayesian Framework — 5× in this paper · explained in 3 episodes
• Empirical Methods in Natural Language Processing — 5× in this paper
• Ablation Studies — 4× in this paper · explained in 1 episode
• Catastrophic Forgetting — 4× in this paper · explained in 5 episodes
• Generative AI — 4× in this paper · explained in 2 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• Continual Learning — 2× in this paper · explained in 2 episodes
• LLM-as-a-Judge — 2× in this paper · explained in 3 episodes
• Reasoning Traces — 2× in this paper · explained in 3 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Supervised Fine-Tuning (SFT) — 2× in this paper · explained in 8 episodes
• Theoretical Guarantees — 2× in this paper · explained in 2 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Abliteration — 1× in this paper · explained in 1 episode
• Bayesian Inference — 1× in this paper · explained in 5 episodes
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes
• Transferability — 1× in this paper · explained in 4 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Verifier — 1× in this paper · explained in 2 episodes

Sources

• An Empirical Study on Eliciting and Improving R1-like Reasoning Models
• Training Verifiers to Solve Math Word Problems
• Gemma 4 Technical Report
• DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
• Skywork Open Reasoner 1 Technical Report
• Unveiling the Statistical Foundations of Chain-of-Thought Prompting Methods
• CPR for LLMs: Critical-Point Routing against Catastrophic Forgetting in Domain Adaptation
• Qwen2.5-Coder Technical Report
• Qwen2.5 Technical Report
• Qwen3 Technical Report
• Instruction-Following Evaluation for Large Language Models

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