Papers by Mohammad Mahdi Khalili
Neuroplasticity and Corruption in Model Mechanisms: A Case Study Of Indirect Object Identification (2025.findings-naacl)
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| Challenge: | Recent advances in transformer-based language modelling have garnered attention in widespread applications. |
| Approach: | They investigate the effects of fine-tuning on poisoned data and analyze the changes after retraining a corrupted model on the original dataset and observe neuroplasticity behaviors. |
| Outcome: | The proposed model corruption mechanisms can be generalized to longer epochs and model reforming can be performed on clean datasets. |