Alignment midtraining for animals
We investigate the robustness of value alignment via midtraining with synthetic documents, using animal compassion as a value that is both important in its own right and orthogonal to existing alignment efforts. To evaluate compassionate reasoning, we develop and publicly release Animal Norms In Moral Assessment (ANIMA), a 26-question evaluation spanning 13 ethical dimensions, publicly available as a dataset and Inspect evaluation. On ANIMA, training with 3000 documents achieves 77% compared to 40% for instruction-tuning approaches, with generalization to human compassion and no degradation in standard safety benchmarks or capabilities. However, subsequent unrelated instruction-tuning deg...
| Authors | Jasmine Brazilek, Miles Tidmarsh |
|---|---|
| Primary category | cs.CL |
| Published | 21 March 2026 |
| Last updated at source | 21 August 2026 |
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- Hyperstition-for-Good/Competition-SubmissionsDataset · cited by
- CompassioninMachineLearning/animaDataset · cited by
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