prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the GPT-4 model in the LeanDojo: Theorem Proving with Retrieval-Augmented Language Models paper on the LeanDojo Benchmark dataset? | Pass@1 on the random split, Pass@1 on the novel_premises split |
What metrics were used to measure the tidy model in the LeanDojo: Theorem Proving with Retrieval-Augmented Language Models paper on the LeanDojo Benchmark dataset? | Pass@1 on the random split, Pass@1 on the novel_premises split |
What metrics were used to measure the FormulaNet model in the Premise Selection for Theorem Proving by Deep Graph Embedding paper on the HolStep (Unconditional) dataset? | Classification Accuracy |
What metrics were used to measure the FormulaNet-basic model in the Premise Selection for Theorem Proving by Deep Graph Embedding paper on the HolStep (Unconditional) dataset? | Classification Accuracy |
What metrics were used to measure the 1D CNN model in the HolStep: A Machine Learning Dataset for Higher-order Logic Theorem Proving paper on the HolStep (Unconditional) dataset? | Classification Accuracy |
What metrics were used to measure the 1D CNN-LSTM model in the HolStep: A Machine Learning Dataset for Higher-order Logic Theorem Proving paper on the HolStep (Unconditional) dataset? | Classification Accuracy |
What metrics were used to measure the Proverbot9001 model in the Generating Correctness Proofs with Neural Networks paper on the CompCert dataset? | Percentage correct |
What metrics were used to measure the CoqGym/ASTactic model in the Generating Correctness Proofs with Neural Networks paper on the CompCert dataset? | Percentage correct |
What metrics were used to measure the 4-hop GNN, sub-expression sharing model in the Graph Representations for Higher-Order Logic and Theorem Proving paper on the HOList benchmark dataset? | Percentage correct |
What metrics were used to measure the Tactic Dependent Loop model in the HOList: An Environment for Machine Learning of Higher-Order Theorem Proving paper on the HOList benchmark dataset? | Percentage correct |
What metrics were used to measure the BoW2 (extra -ves) model in the Learning to Reason in Large Theories without Imitation paper on the HOList benchmark dataset? | Percentage correct |
What metrics were used to measure the Deeper Wider WaveNet model in the HOList: An Environment for Machine Learning of Higher-Order Theorem Proving paper on the HOList benchmark dataset? | Percentage correct |
What metrics were used to measure the MPNN-DagLSTM model in the Improving Graph Neural Network Representations of Logical Formulae with Subgraph Pooling paper on the HolStep (Conditional) dataset? | Classification Accuracy |
What metrics were used to measure the FormulaNet model in the Premise Selection for Theorem Proving by Deep Graph Embedding paper on the HolStep (Conditional) dataset? | Classification Accuracy |
What metrics were used to measure the FormulaNet-basic model in the Premise Selection for Theorem Proving by Deep Graph Embedding paper on the HolStep (Conditional) dataset? | Classification Accuracy |
What metrics were used to measure the Siamese 1D CNN-LSTM model in the HolStep: A Machine Learning Dataset for Higher-order Logic Theorem Proving paper on the HolStep (Conditional) dataset? | Classification Accuracy |
What metrics were used to measure the Siamese 1D CNN model in the HolStep: A Machine Learning Dataset for Higher-order Logic Theorem Proving paper on the HolStep (Conditional) dataset? | Classification Accuracy |
What metrics were used to measure the URL model in the Universe Points Representation Learning for Partial Multi-Graph Matching paper on the CUB dataset? | F1 score |
What metrics were used to measure the IPCA-GM model in the Combinatorial Learning of Robust Deep Graph Matching: an Embedding based Approach. paper on the CUB dataset? | F1 score |
What metrics were used to measure the GANN-MGM model in the Graduated Assignment for Joint Multi-Graph Matching and Clustering with Application to Unsupervised Graph Matching Network Learning paper on the CUB dataset? | F1 score |
What metrics were used to measure the COMMON model in the Graph Matching with Bi-level Noisy Correspondence paper on the Willow Object Class dataset? | matching accuracy, F1 score |
What metrics were used to measure the GANN-MGM model in the Graduated Assignment for Joint Multi-Graph Matching and Clustering with Application to Unsupervised Graph Matching Network Learning paper on the Willow Object Class dataset? | matching accuracy, F1 score |
What metrics were used to measure the URL model in the Universe Points Representation Learning for Partial Multi-Graph Matching paper on the Willow Object Class dataset? | matching accuracy, F1 score |
What metrics were used to measure the Direct-MGM model in the Learning Constrained Structured Spaces with Application to Multi-Graph Matching paper on the Willow Object Class dataset? | matching accuracy, F1 score |
What metrics were used to measure the Direct-2HGM model in the Learning Constrained Structured Spaces with Application to Multi-Graph Matching paper on the Willow Object Class dataset? | matching accuracy, F1 score |
What metrics were used to measure the qc-DGM2 model in the Deep Graph Matching under Quadratic Constraint paper on the Willow Object Class dataset? | matching accuracy, F1 score |
What metrics were used to measure the NGM-v2 model in the Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem with Extension to Hypergraph and Multiple-graph Matching paper on the Willow Object Class dataset? | matching accuracy, F1 score |
What metrics were used to measure the BBGM model in the Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers paper on the Willow Object Class dataset? | matching accuracy, F1 score |
What metrics were used to measure the HNN-HM model in the Hypergraph Neural Networks for Hypergraph Matching paper on the Willow Object Class dataset? | matching accuracy, F1 score |
What metrics were used to measure the GAMnet model in the GAMnet: Robust Feature Matching via Graph Adversarial-Matching Network paper on the Willow Object Class dataset? | matching accuracy, F1 score |
What metrics were used to measure the EAGM model in the Adaptive Edge Attention for Graph Matching with Outliers paper on the Willow Object Class dataset? | matching accuracy, F1 score |
What metrics were used to measure the qc-DGM1 model in the Deep Graph Matching under Quadratic Constraint paper on the Willow Object Class dataset? | matching accuracy, F1 score |
What metrics were used to measure the GLMNet model in the GLMNet: Graph Learning-Matching Networks for Feature Matching paper on the Willow Object Class dataset? | matching accuracy, F1 score |
What metrics were used to measure the IPCA-GM model in the Combinatorial Learning of Robust Deep Graph Matching: an Embedding based Approach. paper on the Willow Object Class dataset? | matching accuracy, F1 score |
What metrics were used to measure the NGM model in the Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem with Extension to Hypergraph and Multiple-graph Matching paper on the Willow Object Class dataset? | matching accuracy, F1 score |
What metrics were used to measure the GMN model in the Deep Learning of Graph Matching paper on the Willow Object Class dataset? | matching accuracy, F1 score |
What metrics were used to measure the GCAN-AFAT-I model in the Deep Learning of Partial Graph Matching via Differentiable Top-K paper on the Willow Object Class dataset? | matching accuracy, F1 score |
What metrics were used to measure the NGMv2-AFAT-I model in the Deep Learning of Partial Graph Matching via Differentiable Top-K paper on the Willow Object Class dataset? | matching accuracy, F1 score |
What metrics were used to measure the GCAN-AFAT-U model in the Deep Learning of Partial Graph Matching via Differentiable Top-K paper on the Willow Object Class dataset? | matching accuracy, F1 score |
What metrics were used to measure the NGMv2-AFAT-U model in the Deep Learning of Partial Graph Matching via Differentiable Top-K paper on the Willow Object Class dataset? | matching accuracy, F1 score |
What metrics were used to measure the COMMON model in the Graph Matching with Bi-level Noisy Correspondence paper on the SPair-71k dataset? | matching accuracy |
What metrics were used to measure the BBGM model in the Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers paper on the SPair-71k dataset? | matching accuracy |
What metrics were used to measure the NGM-v2 model in the Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem with Extension to Hypergraph and Multiple-graph Matching paper on the SPair-71k dataset? | matching accuracy |
What metrics were used to measure the NGM model in the Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem with Extension to Hypergraph and Multiple-graph Matching paper on the SPair-71k dataset? | matching accuracy |
What metrics were used to measure the URL model in the Universe Points Representation Learning for Partial Multi-Graph Matching paper on the PASCAL VOC dataset? | F1 score, matching accuracy |
What metrics were used to measure the BBGM-Multi model in the Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers paper on the PASCAL VOC dataset? | F1 score, matching accuracy |
What metrics were used to measure the GCAN-AFAT-U model in the Deep Learning of Partial Graph Matching via Differentiable Top-K paper on the PASCAL VOC dataset? | F1 score, matching accuracy |
What metrics were used to measure the GCAN-AFAT-I model in the Deep Learning of Partial Graph Matching via Differentiable Top-K paper on the PASCAL VOC dataset? | F1 score, matching accuracy |
What metrics were used to measure the BBGM model in the Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers paper on the PASCAL VOC dataset? | F1 score, matching accuracy |
What metrics were used to measure the NGMv2-AFAT-U model in the Deep Learning of Partial Graph Matching via Differentiable Top-K paper on the PASCAL VOC dataset? | F1 score, matching accuracy |
What metrics were used to measure the Direct-2HGM model in the Learning Constrained Structured Spaces with Application to Multi-Graph Matching paper on the PASCAL VOC dataset? | F1 score, matching accuracy |
What metrics were used to measure the NGMv2-AFAT-I model in the Deep Learning of Partial Graph Matching via Differentiable Top-K paper on the PASCAL VOC dataset? | F1 score, matching accuracy |
What metrics were used to measure the Direct-2GM model in the Learning Constrained Structured Spaces with Application to Multi-Graph Matching paper on the PASCAL VOC dataset? | F1 score, matching accuracy |
What metrics were used to measure the Direct-MGM model in the Learning Constrained Structured Spaces with Application to Multi-Graph Matching paper on the PASCAL VOC dataset? | F1 score, matching accuracy |
What metrics were used to measure the MGM3D model in the Joint Deep Multi-Graph Matching and 3D Geometry Learning from Inhomogeneous 2D Image Collections paper on the PASCAL VOC dataset? | F1 score, matching accuracy |
What metrics were used to measure the COMMON model in the Graph Matching with Bi-level Noisy Correspondence paper on the PASCAL VOC dataset? | F1 score, matching accuracy |
What metrics were used to measure the ASAR-GM model in the Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond paper on the PASCAL VOC dataset? | F1 score, matching accuracy |
What metrics were used to measure the GAMnet model in the GAMnet: Robust Feature Matching via Graph Adversarial-Matching Network paper on the PASCAL VOC dataset? | F1 score, matching accuracy |
What metrics were used to measure the NHGM-v2 model in the Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem with Extension to Hypergraph and Multiple-graph Matching paper on the PASCAL VOC dataset? | F1 score, matching accuracy |
What metrics were used to measure the EAGM model in the Adaptive Edge Attention for Graph Matching with Outliers paper on the PASCAL VOC dataset? | F1 score, matching accuracy |
What metrics were used to measure the qc-DGM2 model in the Deep Graph Matching under Quadratic Constraint paper on the PASCAL VOC dataset? | F1 score, matching accuracy |
What metrics were used to measure the qc-DGM1 model in the Deep Graph Matching under Quadratic Constraint paper on the PASCAL VOC dataset? | F1 score, matching accuracy |
What metrics were used to measure the HNN-HM model in the Hypergraph Neural Networks for Hypergraph Matching paper on the PASCAL VOC dataset? | F1 score, matching accuracy |
What metrics were used to measure the IPCA-GM model in the Combinatorial Learning of Robust Deep Graph Matching: an Embedding based Approach. paper on the PASCAL VOC dataset? | F1 score, matching accuracy |
What metrics were used to measure the CIE-H model in the Learning deep graph matching with channel-independent embedding and Hungarian attention paper on the PASCAL VOC dataset? | F1 score, matching accuracy |
What metrics were used to measure the GLMNet model in the GLMNet: Graph Learning-Matching Networks for Feature Matching paper on the PASCAL VOC dataset? | F1 score, matching accuracy |
What metrics were used to measure the IA-GM model in the IA-GM: A Deep Bidirectional Learning Method for Graph Matching paper on the PASCAL VOC dataset? | F1 score, matching accuracy |
What metrics were used to measure the NHGM model in the Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem with Extension to Hypergraph and Multiple-graph Matching paper on the PASCAL VOC dataset? | F1 score, matching accuracy |
What metrics were used to measure the NGM model in the Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem with Extension to Hypergraph and Multiple-graph Matching paper on the PASCAL VOC dataset? | F1 score, matching accuracy |
What metrics were used to measure the GMN model in the Deep Learning of Graph Matching paper on the PASCAL VOC dataset? | F1 score, matching accuracy |
What metrics were used to measure the GCAN-AFAT-I model in the Deep Learning of Partial Graph Matching via Differentiable Top-K paper on the IMCPT-SparseGM-50 dataset? | F1 score |
What metrics were used to measure the NGMv2-AFAT-I model in the Deep Learning of Partial Graph Matching via Differentiable Top-K paper on the IMCPT-SparseGM-50 dataset? | F1 score |
What metrics were used to measure the NGMv2-AFAT-U model in the Deep Learning of Partial Graph Matching via Differentiable Top-K paper on the IMCPT-SparseGM-50 dataset? | F1 score |
What metrics were used to measure the GCAN-AFAT-U model in the Deep Learning of Partial Graph Matching via Differentiable Top-K paper on the IMCPT-SparseGM-50 dataset? | F1 score |
What metrics were used to measure the NGMv2 model in the Deep Learning of Partial Graph Matching via Differentiable Top-K paper on the IMCPT-SparseGM-50 dataset? | F1 score |
What metrics were used to measure the PCA-GM model in the Deep Learning of Partial Graph Matching via Differentiable Top-K paper on the IMCPT-SparseGM-50 dataset? | F1 score |
What metrics were used to measure the GCAN-AFAT-U model in the Deep Learning of Partial Graph Matching via Differentiable Top-K paper on the IMCPT-SparseGM-100 dataset? | F1 score |
What metrics were used to measure the GCAN-AFAT-I model in the Deep Learning of Partial Graph Matching via Differentiable Top-K paper on the IMCPT-SparseGM-100 dataset? | F1 score |
What metrics were used to measure the NGMv2-AFAT-U model in the Deep Learning of Partial Graph Matching via Differentiable Top-K paper on the IMCPT-SparseGM-100 dataset? | F1 score |
What metrics were used to measure the NGMv2-AFAT-I model in the Deep Learning of Partial Graph Matching via Differentiable Top-K paper on the IMCPT-SparseGM-100 dataset? | F1 score |
What metrics were used to measure the NGMv2 model in the Deep Learning of Partial Graph Matching via Differentiable Top-K paper on the IMCPT-SparseGM-100 dataset? | F1 score |
What metrics were used to measure the PCA-GM model in the Deep Learning of Partial Graph Matching via Differentiable Top-K paper on the IMCPT-SparseGM-100 dataset? | F1 score |
What metrics were used to measure the 2-WL-GNN + Utility Regression model in the Ranking Structured Objects with Graph Neural Networks paper on the ogbg-molfreesolv dataset? | Kendall's Tau |
What metrics were used to measure the 2-WL-GNN + Rank Regression model in the Ranking Structured Objects with Graph Neural Networks paper on the ogbg-molfreesolv dataset? | Kendall's Tau |
What metrics were used to measure the 2-WL-GNN + DirectRanker model in the Ranking Structured Objects with Graph Neural Networks paper on the ogbg-molfreesolv dataset? | Kendall's Tau |
What metrics were used to measure the 2-WL-GNN + CmpNN model in the Ranking Structured Objects with Graph Neural Networks paper on the ogbg-molfreesolv dataset? | Kendall's Tau |
What metrics were used to measure the 2-WL-GNN + DirectRanker model in the Ranking Structured Objects with Graph Neural Networks paper on the ZINC dataset? | Kendall's Tau |
What metrics were used to measure the 2-WL-GNN + CmpNN model in the Ranking Structured Objects with Graph Neural Networks paper on the ZINC dataset? | Kendall's Tau |
What metrics were used to measure the 2-WL-GNN + Rank Regression model in the Ranking Structured Objects with Graph Neural Networks paper on the ZINC dataset? | Kendall's Tau |
What metrics were used to measure the 2-WL-GNN + Utility Regression model in the Ranking Structured Objects with Graph Neural Networks paper on the ZINC dataset? | Kendall's Tau |
What metrics were used to measure the 2-WL-GNN + Utility Regression model in the Ranking Structured Objects with Graph Neural Networks paper on the ogbg-mollipo dataset? | Kendall's Tau |
What metrics were used to measure the 2-WL-GNN + Rank Regression model in the Ranking Structured Objects with Graph Neural Networks paper on the ogbg-mollipo dataset? | Kendall's Tau |
What metrics were used to measure the 2-WL-GNN + CmpNN model in the Ranking Structured Objects with Graph Neural Networks paper on the ogbg-mollipo dataset? | Kendall's Tau |
What metrics were used to measure the 2-WL-GNN + DirectRanker model in the Ranking Structured Objects with Graph Neural Networks paper on the ogbg-mollipo dataset? | Kendall's Tau |
What metrics were used to measure the 2-WL-GNN + CmpNN model in the Ranking Structured Objects with Graph Neural Networks paper on the ogbg-molesol dataset? | Kendall's Tau |
What metrics were used to measure the 2-WL-GNN + Rank Regression model in the Ranking Structured Objects with Graph Neural Networks paper on the ogbg-molesol dataset? | Kendall's Tau |
What metrics were used to measure the 2-WL-GNN + DirectRanker model in the Ranking Structured Objects with Graph Neural Networks paper on the ogbg-molesol dataset? | Kendall's Tau |
What metrics were used to measure the 2-WL-GNN + Utility Regression model in the Ranking Structured Objects with Graph Neural Networks paper on the ogbg-molesol dataset? | Kendall's Tau |
What metrics were used to measure the DeepGG model in the DeepGG: a Deep Graph Generator paper on the Barabasi-Albert dataset? | Entropy Difference |
What metrics were used to measure the SimGNN model in the SimGNN: A Neural Network Approach to Fast Graph Similarity Computation paper on the IMDb dataset? | mse (10^-3) |
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