Author

Hao-Ran Gu

2 papers indexed here

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#natural language process... Preprint May 2025

Decoding One Safety Trigger Token for Balancing Safety and Usability in Large Language Models

D-STT, a simple yet effective defense algorithm that identifies and explicitly decodes safety trigger tokens of the given safety-aligned LLM to activate the model's learned safety patterns, effectively preserves model usability by introducing minimum intervention in the decoding process.

Hao-Ran Gu, Han-Ding Wang, Yi Mei et al. · 0 citations

#machine learning Preprint Sep 2026

Benchmarking Tabular Foundation Models as Surrogates in Expensive Evolutionary Optimization

Surrogate-assisted evolutionary algorithms (SAEAs) are effective methods for solving expensive optimization problems (EOPs), where surrogate models replace most expensive evaluations and critically influence the final optimization results. In recent years, tabular foundation models have advanced rapidly, and the Tabula...

Lu Han, Jin Wang, Yu-Cheng Li et al. · 0 citations