Continuously Steering LLMs Sensitivity to Contextual Knowledge with Proxy Models (2025.emnlp-main)
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| Challenge: | Existing approaches to optimize Large Language Models (LLMs) for knowledge conflicts are inefficient or ineffective for large models and are not suitable for black-box models. |
| Approach: | They propose a framework that can continuously steer LLMs’ sensitivity to contextual knowledge at a lightweight cost. |
| Outcome: | The proposed framework can steer LLMs’ sensitivity to contextual knowledge continuously at a lightweight cost. |
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