VEHBench: A Stage-Local Diagnostic Benchmark for LLM-Assisted Vibration Energy Harvester Design
Battery-free Internet of Things (IoT) requires iterative design of vibration energy harvesters (VEHs) under coupled physical constraints, while LLMs are emerging as interface layers for engineering workflows. However, existing engineering benchmarks primarily assess final artifact validity, offering limited insights into how LLMs behave across different stages of coupled physical design. We introduce VEHBench, an engineering-native diagnostic benchmark for LLM-assisted VEH design, featuring 763 literature-grounded tasks scored by an analytical physical oracle. VEHBench evaluates four design ro
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- PossiblePossibly related (embedding) · 48%Evaluate a model properly →
- FuzzySimilar title/name (fuzzy) · 84%mudler/LocalAI →
“Fuzzy title match (0.92): “VEHBench: A Stage-Local Diagnostic Benchmark for LLM-Assiste” ≈ “mudler/LocalAI””
- FuzzyOverlapping authors or contributors · 62%sgl-project/sglang →
“Shared author/contributor keys: luo”
- FuzzySimilar title/name (fuzzy) · 59%jeinlee1991/chinese-llm-benchmark →
“Fuzzy title match (0.73): “VEHBench: A Stage-Local Diagnostic Benchmark for LLM-Assiste” ≈ “jeinlee1991/chinese-llm-benchmark””
- LinkedLinked via arxiv author · 85%Depeng Su →
“VEHBench: A Stage-Local Diagnostic Benchmark for LLM-Assisted Vibration Energy Harvester Design”
- LinkedLinked via arxiv author · 85%Yuyu Luo →
“VEHBench: A Stage-Local Diagnostic Benchmark for LLM-Assisted Vibration Energy Harvester Design”
- LinkedLinked via arxiv author · 85%Guobiao Hu →
“VEHBench: A Stage-Local Diagnostic Benchmark for LLM-Assisted Vibration Energy Harvester Design”