Papers by Ali Tajer
Multi-component Causal Tracing in Large Language Models (2026.acl-long)
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| Challenge: | Large language models (LLMs) are prone to various forms of safety risks, such as learning and propagating societal biases and even creating harmful or deceptive content through jailbreak attacks. |
| Approach: | They propose a framework for causally tracing multiple components simultaneously that systematically identifies the subsets of components most critical to a desired performance metric. |
| Outcome: | The proposed method outperforms existing methods in identifying components critical to a desired performance metric. |