arxiv
PublishedOctober 15, 2026 at 4:00 AM
Ready2Blend: From Natural-Language Instructions to Composable Alignment Prompts
Publisher summary· verbatim
arXiv:2609.39365v2 Announce Type: replace-cross Abstract: Continual alignment requires LLMs to adapt to new requirements without forgetting previously acquired behaviors. Natural-language instructions are flexible and composable but offer only indirect control, whereas post-training provides stronge
Stay posted· Newsletter
Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.
Your email is used only to send The Bubble Brief. Privacy policy
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivOptimal Hydra: Model Heterogeneous Federated Learning for LLMs using Data-Informed Hydra-Nets23harxivJudging the Judges: Confidence and Disagreement in Rubrics as Rewards23harxivContent associations with answer selection and engagement in supply chain community question answering23harxivORACLE-SWE: Quantifying the Contribution of Critical Information Signals on SWE Agents23hThe Bubble Brief
MON · WED · FRIRead AI insights every Monday, Wednesday and Friday — top movers, new models, story of the week.
Your email is used only to send The Bubble Brief. Privacy policy
Originally published on arxiv ↗