Papers by Jinyuan Xu
Attention Consistency for LLMs Explanation (2025.findings-emnlp)
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| Challenge: | Existing interpretability methods face limitations such as low resolution and high computational cost. |
| Approach: | They propose a multi-layer attention consistency score to estimate the importance of input tokens in large language models. |
| Outcome: | The proposed heuristic achieves a favorable trade-off between interpretability quality and computational efficiency . |
SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding (2024.acl-long)
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| Challenge: | Despite advances in large language models, they face substantial challenges in terms of safety. |
| Approach: | They develop a safety-aware decoding strategy for large language models to defend against jailbreak attacks. |
| Outcome: | The proposed strategy outperforms six defense methods against jailbreak attacks on five LLMs. |