Bias Dynamics in BabyLMs: Towards a Compute-Efficient Sandbox for Democratising Pre-Training Debiasing (2026.findings-acl)
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| Challenge: | Pre-trained language models (LMs) have grown substantially in both societal adoption and training costs. |
| Approach: | They propose to use low-cost proxy models to democratise pre-model debiasing research by using small and mutable corpora. |
| Outcome: | The proposed model can approximate bias acquisition and learning dynamics of larger models despite their reduced size. |
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