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Puria Radmard

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#natural language process... Preprint Sep 2026

Inoculation Midtraining with Learned Neologisms

Results show that inoculation with a learned association introduced via midtraining can shape selective generalisation, and more work is needed before this approach can become a load-bearing component in a developer's safety framework.

Kyle O'Brien, Edward James Young, Puria Radmard et al. · 0 citations
#artificial intelligence Preprint Jul 2026

Self-Generated Text Recognition: Quality Heuristics, Cross-Task Transfer, and Downstream Bias in LLM Evaluation

Evaluating 13-21 models across six presentation operationalizations and four task-domain operationalizations suggests that, despite confounds, some models possess practical SGTR capabilities, and that SGTR should be monitored and considered in the design of safety-critical AI applications.

J. St-Amand, Callum Canavan, S. Imran et al. · 0 citations

Constitutional Midtraining: Content Presence Drives Alignment Gains

Post-training alignment is often shallow, eroding under fine-tuning. It remains untested as to whether constitutional midtraining interventions can produce durable alignment when cleanly isolated from post-training. We build a 394M-token constitutional corpus from Anthropic's Constitution and apply constitutional midtr...

D. Cho, Cameron Tice, Bernie Hogan et al. · 1 citation

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