Beyond Transfer Accuracy: Mechanism-Guided Controlled Adaptation for Low-Resource Languages

arXiv:2601.08146 · cs.CL, cs.AI, cs.LG · Submitted 2026-01-13 · Read on arXiv

cs.CL, cs.AI, cs.LG

Submitted: 2026-01-13

Updated: 2026-09-02

Project page: https://transformerlensorg.github.io/TransformerLens

Terminology

• Adaptation — 49× in this paper · explained in 1 episode
• Accuracy — 35× in this paper · explained in 1 episode
• Fine-Tuning — 19× in this paper · explained in 5 episodes
• Pruning — 18× in this paper · explained in 4 episodes
• Consistency — 16× in this paper · explained in 3 episodes
• Interpretability — 13× in this paper · explained in 15 episodes
• Transformer — 13× in this paper · explained in 2 episodes
• Robustness — 8× in this paper · explained in 5 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Benchmark — 5× in this paper · explained in 2 episodes
• Contextual Decomposition for Transformers — 5× in this paper
• Catastrophic Forgetting — 4× in this paper · explained in 5 episodes
• Cross-lingual Transfer — 3× in this paper · explained in 2 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• In International Conference on Learning Representations — 3× in this paper
• Alignment — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Explainability — 1× in this paper · explained in 3 episodes
• Low-Resource Languages — 1× in this paper · explained in 4 episodes
• Redundancy — 1× in this paper · explained in 2 episodes

Sources

• Fine-Tuning is Subgraph Search: A New Lens on Learning Dynamics
• Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping
• The Llama 3 Herd of Models
• Qwen2 Technical Report
• Entangled in Representations: Mechanistic Investigation of Cultural Biases in Large Language Models

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