11 citations · 15 across the 15 of their papers we have counts for
4 papers · 1 filter
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…
One Token Can Be Enough: Bridging Prompting and Activation Steering with Prefix Steering
Xudong Zhu, Zhihui Zhu
Prompting guides language model behavior through the initial context, whereas activation steering often intervenes throughout generation. A natural question is whether steering can…
SMCEvolve: Principled Scientific Discovery via Sequential Monte Carlo Evolution
Jiachen Jiang, Huminhao Zhu, Zhihui Zhu
LLM-driven program evolution has emerged as a powerful tool for automated scientific discovery, yet existing frameworks offer no principled guide for designing their individual com…
DeltaEvolve: Accelerating Scientific Discovery through Momentum-Driven Evolution
Jiachen Jiang, Tianyu Ding, Zhihui Zhu
LLM-driven evolutionary systems have shown promise for automated science discovery, yet existing approaches such as AlphaEvolve rely on full-code histories that are context-ineffic…