Papers by Ligong Han
Reasoning over Precedents Alongside Statutes: Case-Augmented Deliberative Alignment for LLM Safety (2026.acl-long)
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Can Jin, Rui Wu, Tong Che, Qixin Zhang, Hongwu Peng, Jiahui Zhao, Zhenting Wang, Wenqi Wei, Ligong Han, Zhao Zhang, Yuan Cao, Ruixiang Tang, Dimitris N. Metaxas
| Challenge: | OpenAI introduces deliberative alignment (DA) to enhance safety of its o-series models, but effectiveness of this approach in open-source LLMs is understudied. |
| Approach: | They propose a case-augmented deliberative alignment method for large language models . they propose to use reinforcement learning on self-generated safety reasoning chains . |
| Outcome: | The proposed method avoids narrowly enumerated rules and allows broader adaptability. |
Hopscotch: Discovering and Skipping Redundancies in Language Models (2025.findings-emnlp)
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| Challenge: | Hopscotch is a method that skips attention blocks with least contributions to a task . it does not modify model weights or require access to pretraining or instruction-tuning data. |
| Approach: | Hopscotch proposes a method that skips attention blocks with least contributions to a task . it introduces lightweight scaling parameters to attention and MLP blocks . |
| Outcome: | The proposed method reduces the drop in performance by 2% even after skipping four attention blocks. |