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Inoculation Midtraining with Learned Neologisms

Paper recorded by Signals 4 on 2026-09-14 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-14 on arXiv · recorded by Signals 4 on 2026-09-15

Category: cs.CL · 自然语言处理 · first seen 2026-09-15

Abstract

Large language models (LLMs) often learn both desirable and undesirable properties during post-training. We study whether midtraining, an earlier training stage, can shape which of these properties later generalise. We introduce Inoculation Midtraining, a technique that teaches a base model that unsafe behaviour belongs to a designated <quarantine_token> context, as indicated by the <quarantine_to

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#41 most recent of 186 cs.CL papers we have recorded · ↑ newer: HypoEvolve: Genetic Algorithms Enable Multi-Agent LLMs to Discover Sci · ↓ older: Learning to Coach for Experiential Learning
Cite this page: Inoculation Midtraining with Learned Neologisms: the #41 most recent of 186 cs.CL papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/inoculation-midtraining-with-learned-neologisms.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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