prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the GAT-node2vec + BoT + self-KD model in the Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the DRGAT model in the paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GAT+label reuse+self KD model in the Graph Attention Networks paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GIANT+XRT+GATv2 model in the How Attentive are Graph Attention Networks? paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the AGDN+BoT model in the Adaptive Graph Diffusion Networks paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GAT-node2vec + BoT model in the Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the RevGAT+NormAdj+LabelReuse model in the Training Graph Neural Networks with 1000 Layers paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GAT+label+reuse+topo loss model in the Graph Attention Networks paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the AGDN (GAT-HA+3_heads+labels) model in the Adaptive Graph Diffusion Networks paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the UniMP_v2 model in the Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GAT(norm.adj.)+label reuse+C&S model in the Combining Label Propagation and Simple Models Out-performs Graph Neural Networks paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GAT+norm. adj.+label reuse model in the Bag of Tricks for Node Classification with Graph Neural Networks paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GAT + C&S model in the Combining Label Propagation and Simple Models Out-performs Graph Neural Networks paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the UniMP_large model in the Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the AGDN (GAT-HA+3_heads) model in the Adaptive Graph Diffusion Networks paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GAT+FLAG model in the Robust Optimization as Data Augmentation for Large-scale Graphs paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the LEGNN + AS-Train model in the Label-Enhanced Graph Neural Network for Semi-supervised Node Classification paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GAT+norm. adj.+labels model in the Bag of Tricks for Node Classification with Graph Neural Networks paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GAT+norm.adj.+labels model in the Bag of Tricks for Node Classification with Graph Neural Networks paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the E2EG (use raw text) model in the E2EG: End-to-End Node Classification Using Graph Topology and Text-based Node Attributes paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the LEGNN model in the Label-Enhanced Graph Neural Network for Semi-supervised Node Classification paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GCN_res + C&S_v2 model in the Combining Label Propagation and Simple Models Out-performs Graph Neural Networks paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the MLP + C&S model in the Combining Label Propagation and Simple Models Out-performs Graph Neural Networks paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the UniMP model in the Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GCN+linear+labels model in the Bag of Tricks for Node Classification with Graph Neural Networks paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GIANT-XRT+MLP (use raw text) model in the Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GCN_res + C&S model in the Combining Label Propagation and Simple Models Out-performs Graph Neural Networks paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GTAN model in the GTNet: A Tree-Based Deep Graph Learning Architecture paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GCN+residual+6 layers model in the Semi-Supervised Classification with Graph Convolutional Networks paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GCN+residual+node2vec model in the Semi-Supervised Classification with Graph Convolutional Networks paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GCN_res + 8 layers + FLAG model in the Robust Optimization as Data Augmentation for Large-scale Graphs paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GCNII model in the Simple and Deep Graph Convolutional Networks paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the SHADOW-GAT
(PPR) model in the Decoupling the Depth and Scope of Graph Neural Networks paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GCN_res + 8 layers model in the Semi-Supervised Classification with Graph Convolutional Networks paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GTCN model in the GTNet: A Tree-Based Deep Graph Learning Architecture paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the Linear + C&S model in the Combining Label Propagation and Simple Models Out-performs Graph Neural Networks paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GraphSAGE+FLAG model in the Robust Optimization as Data Augmentation for Large-scale Graphs paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the EGC-S (100k) model in the Do We Need Anisotropic Graph Neural Networks? paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the JKNet (GCN-based) model in the Representation Learning on Graphs with Jumping Knowledge Networks paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the DeeperGCN+FLAG model in the Robust Optimization as Data Augmentation for Large-scale Graphs paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the DAGNN model in the Towards Deeper Graph Neural Networks paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GCN+FLAG model in the Robust Optimization as Data Augmentation for Large-scale Graphs paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GaAN model in the GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the EGC-M (100k) model in the Do We Need Anisotropic Graph Neural Networks? paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the SIGN model in the SIGN: Scalable Inception Graph Neural Networks paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the DeeperGCN model in the DeeperGCN: All You Need to Train Deeper GCNs paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the PCAPass + XGBoost model in the Dimensionality Reduction Meets Message Passing for Graph Node Embeddings paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GCN model in the Semi-Supervised Classification with Graph Convolutional Networks paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GraphSAGE model in the Inductive Representation Learning on Large Graphs paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the Plain Linear + C&S model in the Combining Label Propagation and Simple Models Out-performs Graph Neural Networks paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GraphZoom (Node2vec) model in the paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the Node2vec model in the node2vec: Scalable Feature Learning for Networks paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the Label Propagation model in the paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GLNN model in the Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the CoLinkDistMLP model in the Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the MLP+FLAG model in the Robust Optimization as Data Augmentation for Large-scale Graphs paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the MLP model in the Open Graph Benchmark: Datasets for Machine Learning on Graphs paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the 3-HiGCN model in the Higher-order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the ShadowFormer model in the ShadowFormer: Global Context Helps Image Shadow Removal paper on the ISTD dataset? | RMSE |
What metrics were used to measure the DHAN+DA model in the Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN paper on the ISTD dataset? | RMSE |
What metrics were used to measure the DC-ShadowNet model in the DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network paper on the ISTD dataset? | RMSE |
What metrics were used to measure the DHAN model in the Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN paper on the ISTD dataset? | RMSE |
What metrics were used to measure the Zhang et al. model in the SpA-Former: Transformer image shadow detection and removal via spatial attention paper on the ISTD dataset? | RMSE |
What metrics were used to measure the DSC model in the Direction-aware Spatial Context Features for Shadow Detection and Removal paper on the ISTD dataset? | RMSE |
What metrics were used to measure the ST-CGAN model in the Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal paper on the ISTD dataset? | RMSE |
What metrics were used to measure the Gong et al. model in the Direction-aware Spatial Context Features for Shadow Detection and Removal paper on the ISTD dataset? | RMSE |
What metrics were used to measure the Guo et al. model in the Direction-aware Spatial Context Features for Shadow Detection and Removal paper on the ISTD dataset? | RMSE |
What metrics were used to measure the Yang et al. model in the Direction-aware Spatial Context Features for Shadow Detection and Removal paper on the ISTD dataset? | RMSE |
What metrics were used to measure the ShadowFormer model in the ShadowFormer: Global Context Helps Image Shadow Removal paper on the Adjusted ISTD dataset? | RMSE |
What metrics were used to measure the SP+M+I-Net model in the Physics-based Shadow Image Decomposition for Shadow Removal paper on the Adjusted ISTD dataset? | RMSE |
What metrics were used to measure the SP+M-Net Aug. ISTD model in the Shadow Removal via Shadow Image Decomposition paper on the Adjusted ISTD dataset? | RMSE |
What metrics were used to measure the Patch-based SP+M Net model in the From Shadow Segmentation to Shadow Removal paper on the Adjusted ISTD dataset? | RMSE |
What metrics were used to measure the DC-ShadowNet model in the DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network paper on the Adjusted ISTD dataset? | RMSE |
What metrics were used to measure the ShadowFormer model in the ShadowFormer: Global Context Helps Image Shadow Removal paper on the SRD dataset? | RMSE |
What metrics were used to measure the DC-ShadowNet model in the DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network paper on the SRD dataset? | RMSE |
What metrics were used to measure the GPT-4 model in the LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models paper on the LegalBench (Rule-recall) dataset? | Balanced Accuracy |
What metrics were used to measure the GPT-4 model in the LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models paper on the LegalBench (Issue-spotting) dataset? | Balanced Accuracy |
What metrics were used to measure the GPT-3.5 model in the LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models paper on the LegalBench (Issue-spotting) dataset? | Balanced Accuracy |
What metrics were used to measure the Claude-1 model in the LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models paper on the LegalBench (Issue-spotting) dataset? | Balanced Accuracy |
What metrics were used to measure the MU-LLaMA model in the Music Understanding LLaMA: Advancing Text-to-Music Generation with Question Answering and Captioning paper on the MusicQA Dataset dataset? | BLEU, METEOR, ROUGE, BERT Score |
What metrics were used to measure the LLaMA Adapter model in the LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention paper on the MusicQA Dataset dataset? | BLEU, METEOR, ROUGE, BERT Score |
What metrics were used to measure the LTU model in the Listen, Think, and Understand paper on the MusicQA Dataset dataset? | BLEU, METEOR, ROUGE, BERT Score |
What metrics were used to measure the Gopher-280B (few-shot, k=5) model in the Scaling Language Models: Methods, Analysis & Insights from Training Gopher paper on the BIG-bench dataset? | Accuracy |
What metrics were used to measure the HEGR model in the Two Heads are Better Than One: Hypergraph-Enhanced Graph Reasoning for Visual Event Ratiocination paper on the VIST dataset? | BLEU-4, CIDEr, METEOR, BLEU-1, BLEU-2, BLEU-3, ROUGE-L, SPICE, BLEURT, MLTD |
What metrics were used to measure the IRW model in the Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning paper on the VIST dataset? | BLEU-4, CIDEr, METEOR, BLEU-1, BLEU-2, BLEU-3, ROUGE-L, SPICE, BLEURT, MLTD |
What metrics were used to measure the HBSG model in the Visual Storytelling with Hierarchical BERT Semantic Guidance paper on the VIST dataset? | BLEU-4, CIDEr, METEOR, BLEU-1, BLEU-2, BLEU-3, ROUGE-L, SPICE, BLEURT, MLTD |
What metrics were used to measure the CoVS model in the Coherent Visual Storytelling via Parallel Top-Down Visual and Topic Attention paper on the VIST dataset? | BLEU-4, CIDEr, METEOR, BLEU-1, BLEU-2, BLEU-3, ROUGE-L, SPICE, BLEURT, MLTD |
What metrics were used to measure the SentiStory model in the SentiStory: A Multi-Layered Sentiment-Aware Generative Model for Visual Storytelling paper on the VIST dataset? | BLEU-4, CIDEr, METEOR, BLEU-1, BLEU-2, BLEU-3, ROUGE-L, SPICE, BLEURT, MLTD |
What metrics were used to measure the SGEmb model in the Diverse and Relevant Visual Storytelling with Scene Graph Embeddings paper on the VIST dataset? | BLEU-4, CIDEr, METEOR, BLEU-1, BLEU-2, BLEU-3, ROUGE-L, SPICE, BLEURT, MLTD |
What metrics were used to measure the INet model in the Hide-and-Tell: Learning to Bridge Photo Streams for Visual Storytelling paper on the VIST dataset? | BLEU-4, CIDEr, METEOR, BLEU-1, BLEU-2, BLEU-3, ROUGE-L, SPICE, BLEURT, MLTD |
What metrics were used to measure the SGVST model in the Storytelling from an Image Stream Using Scene Graphs paper on the VIST dataset? | BLEU-4, CIDEr, METEOR, BLEU-1, BLEU-2, BLEU-3, ROUGE-L, SPICE, BLEURT, MLTD |
What metrics were used to measure the TAVST (RL) model in the Keep it Consistent: Topic-Aware Storytelling from an Image Stream via Iterative Multi-agent Communication paper on the VIST dataset? | BLEU-4, CIDEr, METEOR, BLEU-1, BLEU-2, BLEU-3, ROUGE-L, SPICE, BLEURT, MLTD |
What metrics were used to measure the BLEU-RL model in the What Makes A Good Story? Designing Composite Rewards for Visual Storytelling paper on the VIST dataset? | BLEU-4, CIDEr, METEOR, BLEU-1, BLEU-2, BLEU-3, ROUGE-L, SPICE, BLEURT, MLTD |
What metrics were used to measure the VSCMR model in the Informative Visual Storytelling with Cross-modal Rules paper on the VIST dataset? | BLEU-4, CIDEr, METEOR, BLEU-1, BLEU-2, BLEU-3, ROUGE-L, SPICE, BLEURT, MLTD |
What metrics were used to measure the MLE model in the What Makes A Good Story? Designing Composite Rewards for Visual Storytelling paper on the VIST dataset? | BLEU-4, CIDEr, METEOR, BLEU-1, BLEU-2, BLEU-3, ROUGE-L, SPICE, BLEURT, MLTD |
What metrics were used to measure the AREL-t-100 model in the No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling paper on the VIST dataset? | BLEU-4, CIDEr, METEOR, BLEU-1, BLEU-2, BLEU-3, ROUGE-L, SPICE, BLEURT, MLTD |
What metrics were used to measure the MemNet model in the Hierarchical memory decoder for visual narrating paper on the VIST dataset? | BLEU-4, CIDEr, METEOR, BLEU-1, BLEU-2, BLEU-3, ROUGE-L, SPICE, BLEURT, MLTD |
What metrics were used to measure the StoryAnchor: w/ Predicted Nouns model in the Visual Storytelling via Predicting Anchor Word Embeddings in the Stories paper on the VIST dataset? | BLEU-4, CIDEr, METEOR, BLEU-1, BLEU-2, BLEU-3, ROUGE-L, SPICE, BLEURT, MLTD |
What metrics were used to measure the GAN model in the No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling paper on the VIST dataset? | BLEU-4, CIDEr, METEOR, BLEU-1, BLEU-2, BLEU-3, ROUGE-L, SPICE, BLEURT, MLTD |
What metrics were used to measure the XE-ss model in the No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling paper on the VIST dataset? | BLEU-4, CIDEr, METEOR, BLEU-1, BLEU-2, BLEU-3, ROUGE-L, SPICE, BLEURT, MLTD |
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