1 citations · 1 across the 7 of their papers we have counts for
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AutoSG: LLM-Driven Solver Generation Solely from Task Prompts for Expensive Optimization
Haoran Gu, Handing Wang, Yi Mei +1
Expensive optimization tasks are ubiquitous in real-world applications, demanding highly specialized solvers. While LLM-driven automated solver generation shows promise, current pa…
DTVI: Dual-Stage Textual and Visual Intervention for Safe Text-to-Image Generation
Binhong Tan, Zhaoxin Wang, Handing Wang
Text-to-Image (T2I) diffusion models have demonstrated strong generation ability, but their potential to generate unsafe content raises significant safety concerns. Existing infere…
Multilingual Safety Alignment Via Sparse Weight Editing
Jiaming Liang, Zhaoxin Wang, Handing Wang
Large Language Models (LLMs) exhibit significant safety disparities across languages, with low-resource languages (LRLs) often bypassing safety guardrails established for high-reso…
SafeNeuron: Neuron-Level Safety Alignment for Large Language Models
Zhaoxin Wang, Jiaming Liang, Fengbin Zhu +5
Large language models (LLMs) and multimodal LLMs are typically safety-aligned before release to prevent harmful content generation. However, recent studies show that safety behavio…