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cs.CL2026
Alignment Forecasting: Predicting Misalignment From Training Data
Chen Yueh-Han, Bruce W. Lee, Ilia Sucholutsky +1
Training a language model on data with a narrow flaw can sometimes make the model broadly misaligned. Inspecting the data at face value often does not settle whether it will emerge…
cs.CL2026
Inoculation Midtraining with Learned Neologisms
Kyle O'Brien, Edward James Young, Puria Radmard +4
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…