Bing Xue
1 indexed paper
Recent (6 mo)
1With code
0Influential cites
0Benchmarked
0Publications per year
126
Top categories
Neural Computing×1
Frequent co-authors
Research Timeline
2026
Search Hardness-Aware LLM-Based Problem Formulation for Expensive Simulation-Driven Design
This paper proposes SHA-PF, a search hardness-aware LLM-based problem formulation framework for expensive simulation-driven design, which prioritizes rare samples with greater progress potential and requires significantly fewer evaluations to reach design requirements.
Highlighted terms show continued research focus across papers