1 citations · 1 across the 2 of their papers we have counts for
4 papers
Restoring General and Improving Domain-Specific Safety in Fine-Tuned LLMs Without Retraining
Vishnu Kabir Chhabra, Ding Zhu, Zhihui Zhu +2
Safety-aligned language models are known to suffer degradation in refusal behavior following domain-specific fine-tuning, even when the fine-tuning data is entirely benign. The pre…
Towards Understanding and Improving Refusal in Compressed Models via Mechanistic Interpretability
Vishnu Kabir Chhabra, Mohammad Mahdi Khalili
The rapid growth of large language models has spurred significant interest in model compression as a means to enhance their accessibility and practicality. While extensive research…
Neuroplasticity and Corruption in Model Mechanisms: A Case Study Of Indirect Object Identification
Vishnu Kabir Chhabra, Ding Zhu, Mohammad Mahdi Khalili
Previous research has shown that fine-tuning language models on general tasks enhance their underlying mechanisms. However, the impact of fine-tuning on poisoned data and the resul…
ECG Signal Denoising Using Multi-scale Patch Embedding and Transformers
Ding Zhu, Vishnu Kabir Chhabra, Mohammad Mahdi Khalili
Cardiovascular disease is a major life-threatening condition that is commonly monitored using electrocardiogram (ECG) signals. However, these signals are often contaminated by vari…