DiagramNet supplies a new multimodal dataset and progressive training pipeline with decoupled multi-agent workflow, allowing a 3B model to outperform GPT-5, Claude-Sonnet-4, and Gemini-2.5-Pro by over 2x on system-level diagram tasks while generalizing to other benchmarks.
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2026 2verdicts
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FusionCell fuses DeiT-processed layout geometry with graph-transformer netlist topology via topology-guided cross-attention to predict six standard-cell metrics at 0.92% average MAPE on a 19.5k-cell 7nm dataset.
citing papers explorer
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DiagramNet: An End-to-End Recognition Framework and Dataset for Non-Standard System-Level Diagrams
DiagramNet supplies a new multimodal dataset and progressive training pipeline with decoupled multi-agent workflow, allowing a 3B model to outperform GPT-5, Claude-Sonnet-4, and Gemini-2.5-Pro by over 2x on system-level diagram tasks while generalizing to other benchmarks.
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FusionCell: Cross-Attentive Fusion of Layout Geometry and Netlist Topology for Standard-Cell Performance Prediction
FusionCell fuses DeiT-processed layout geometry with graph-transformer netlist topology via topology-guided cross-attention to predict six standard-cell metrics at 0.92% average MAPE on a 19.5k-cell 7nm dataset.