prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the Wei et al. (2020) model in the Don't Eclipse Your Arts Due to Small Discrepancies: Boundary Repositioning with a Pointer Network for Aspect Extraction paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Laptop (F1), Restaurant (F1), Mean F1 (Laptop + Restaurant) |
What metrics were used to measure the DE-CNN model in the Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Laptop (F1), Restaurant (F1), Mean F1 (Laptop + Restaurant) |
What metrics were used to measure the ACE model in the Automated Concatenation of Embeddings for Structured Prediction paper on the SemEval-2016 Task 5 Subtask 1 (Turkish) dataset? | F1 |
What metrics were used to measure the M-BERT+Word+Char model in the Structure-Level Knowledge Distillation For Multilingual Sequence Labeling paper on the SemEval-2016 Task 5 Subtask 1 (Turkish) dataset? | F1 |
What metrics were used to measure the ACE model in the Automated Concatenation of Embeddings for Structured Prediction paper on the SemEval 2015 Task 12 dataset? | Restaurant (F1) |
What metrics were used to measure the Wei et al. (2020) model in the Don't Eclipse Your Arts Due to Small Discrepancies: Boundary Repositioning with a Pointer Network for Aspect Extraction paper on the SemEval 2015 Task 12 dataset? | Restaurant (F1) |
What metrics were used to measure the MEEV model in the MEEV: Body Mesh Estimation On Egocentric Video paper on the EgoBody dataset? | Average MPJPE (mm), PA-MPJPE, MPVPE, PA-MPVPE |
What metrics were used to measure the FogAdapt model in the FogAdapt: Self-Supervised Domain Adaptation for Semantic Segmentation of Foggy Images paper on the foggy zurich dataset? | mIoU (val) |
What metrics were used to measure the Position-wise optimizer model in the Position-wise optimizer: A nature-inspired optimization algorithm paper on the CIFAR-10 dataset? | training time (s) |
What metrics were used to measure the Gradient descent optimizer model in the Position-wise optimizer: A nature-inspired optimization algorithm paper on the CIFAR-10 dataset? | training time (s) |
What metrics were used to measure the Position-wise optimizer model in the Position-wise optimizer: A nature-inspired optimization algorithm paper on the MNIST dataset? | training time (s) |
What metrics were used to measure the Gradient descent optimizer model in the Position-wise optimizer: A nature-inspired optimization algorithm paper on the MNIST dataset? | training time (s) |
What metrics were used to measure the Explainable Cross-Attention Multimodal RNN model in the Attention based Multi-Modal New Product Sales Time-series Forecasting paper on the VISUELLE2.0 dataset? | 1 step MAE, 10 steps MAE |
What metrics were used to measure the SSAST-FRAME model in the SSAST: Self-Supervised Audio Spectrogram Transformer paper on the Speech Command v2 dataset? | Accuracy |
What metrics were used to measure the Base (ours) model in the ATST: Audio Representation Learning with Teacher-Student Transformer paper on the Speech Command v2 dataset? | Accuracy |
What metrics were used to measure the SSAST-PATCH model in the SSAST: Self-Supervised Audio Spectrogram Transformer paper on the Speech Command v2 dataset? | Accuracy |
What metrics were used to measure the COLA model in the Contrastive Learning of General-Purpose Audio Representations paper on the Speech Command v2 dataset? | Accuracy |
What metrics were used to measure the Unified-IOXL model in the Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks paper on the GRIT dataset? | Categorization (ablation), Categorization (test) |
What metrics were used to measure the GPV-2 model in the Webly Supervised Concept Expansion for General Purpose Vision Models paper on the GRIT dataset? | Categorization (ablation), Categorization (test) |
What metrics were used to measure the CLIP model in the Learning Transferable Visual Models From Natural Language Supervision paper on the GRIT dataset? | Categorization (ablation), Categorization (test) |
What metrics were used to measure the OFA_Large model in the OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework paper on the GRIT dataset? | Categorization (ablation), Categorization (test) |
What metrics were used to measure the Random model in the SQA3D: Situated Question Answering in 3D Scenes paper on the SQA3D dataset? | Acc@0.5m, Acc@1.0m, Acc@15°, Acc@30° |
What metrics were used to measure the LSDM model in the Language-driven Scene Synthesis using Multi-conditional Diffusion Model paper on the PRO-teXt dataset? | F1, CD, CMD |
What metrics were used to measure the MIME model in the MIME: Human-Aware 3D Scene Generation paper on the PRO-teXt dataset? | F1, CD, CMD |
What metrics were used to measure the SUMMON model in the Scene Synthesis from Human Motion paper on the PRO-teXt dataset? | F1, CD, CMD |
What metrics were used to measure the ATISS model in the ATISS: Autoregressive Transformers for Indoor Scene Synthesis paper on the PRO-teXt dataset? | F1, CD, CMD |
What metrics were used to measure the SISNet model in the Semantic Scene Completion via Integrating Instances and Scene in-the-Loop paper on the NYUv2 dataset? | mIoU |
What metrics were used to measure the SPAwN (SUNCG pretraining) model in the Data Augmented 3D Semantic Scene Completion with 2D Segmentation Priors paper on the NYUv2 dataset? | mIoU |
What metrics were used to measure the SPAwN model in the Data Augmented 3D Semantic Scene Completion with 2D Segmentation Priors paper on the NYUv2 dataset? | mIoU |
What metrics were used to measure the Point-Voxel Aggregation Network model in the Not All Voxels Are Equal: Semantic Scene Completion from the Point-Voxel Perspective paper on the NYUv2 dataset? | mIoU |
What metrics were used to measure the CCPNet (SUNCG pretraining) model in the Cascaded Context Pyramid for Full-Resolution 3D Semantic Scene Completion paper on the NYUv2 dataset? | mIoU |
What metrics were used to measure the 3DSketch model in the 3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Prior paper on the NYUv2 dataset? | mIoU |
What metrics were used to measure the ForkNet (SUNCG pretraining) model in the ForkNet: Multi-branch Volumetric Semantic Completion from a Single Depth Image paper on the NYUv2 dataset? | mIoU |
What metrics were used to measure the IPF-SPCNet: Semantic point completion network for 3D
semantic scene completion model in the Semantic Point Completion Network for 3D Semantic Scene Completion paper on the NYUv2 dataset? | mIoU |
What metrics were used to measure the Real-time semantic scene completion via feature aggregation and conditioned prediction model in the 3D Semantic Scene Completion: a Survey paper on the NYUv2 dataset? | mIoU |
What metrics were used to measure the TS3D model in the Two Stream 3D Semantic Scene Completion paper on the NYUv2 dataset? | mIoU |
What metrics were used to measure the EdgeNet (SUNCG pretraining) model in the 3D Semantic Scene Completion: a Survey paper on the NYUv2 dataset? | mIoU |
What metrics were used to measure the AIC-Net model in the Anisotropic Convolutional Networks for 3D Semantic Scene Completion paper on the NYUv2 dataset? | mIoU |
What metrics were used to measure the AMFNet model in the Attention-based Multi-modal Fusion Network for Semantic Scene Completion paper on the NYUv2 dataset? | mIoU |
What metrics were used to measure the GRFNet model in the 3D Gated Recurrent Fusion for Semantic Scene Completion paper on the NYUv2 dataset? | mIoU |
What metrics were used to measure the VD-CRF: Semantic scene completion with dense
CRF from a single depth image. (SUNCG pretraining) model in the 3D Semantic Scene Completion: a Survey paper on the NYUv2 dataset? | mIoU |
What metrics were used to measure the Am2fnet: Attention-based multiscale
& multi-modality fused network model in the 3D Semantic Scene Completion: a Survey paper on the NYUv2 dataset? | mIoU |
What metrics were used to measure the OccDepth model in the OccDepth: A Depth-Aware Method for 3D Semantic Scene Completion paper on the NYUv2 dataset? | mIoU |
What metrics were used to measure the SSCNet (SUNCG pretraining) model in the Semantic Scene Completion from a Single Depth Image paper on the NYUv2 dataset? | mIoU |
What metrics were used to measure the DDRNet model in the RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion paper on the NYUv2 dataset? | mIoU |
What metrics were used to measure the VVNet model in the View-volume Network for Semantic Scene Completion from a Single Depth Image paper on the NYUv2 dataset? | mIoU |
What metrics were used to measure the LMSCNet-SS model in the LMSCNet: Lightweight Multiscale 3D Semantic Completion paper on the NYUv2 dataset? | mIoU |
What metrics were used to measure the EdgeNet model in the EdgeNet: Semantic Scene Completion from a Single RGB-D Image paper on the NYUv2 dataset? | mIoU |
What metrics were used to measure the Guedes et al. model in the Semantic Scene Completion Combining Colour and Depth: preliminary experiments paper on the NYUv2 dataset? | mIoU |
What metrics were used to measure the MonoScene (RGB input only) model in the MonoScene: Monocular 3D Semantic Scene Completion paper on the NYUv2 dataset? | mIoU |
What metrics were used to measure the ESSCNet model in the Efficient Semantic Scene Completion Network with Spatial Group Convolution paper on the NYUv2 dataset? | mIoU |
What metrics were used to measure the SSCNet model in the Semantic Scene Completion from a Single Depth Image paper on the NYUv2 dataset? | mIoU |
What metrics were used to measure the 3D semantic scene completion
from a single depth image using adversarial training model in the 3D Semantic Scene Completion: a Survey paper on the NYUv2 dataset? | mIoU |
What metrics were used to measure the SCPNet model in the SCPNet: Semantic Scene Completion on Point Cloud paper on the SemanticKITTI dataset? | mIoU |
What metrics were used to measure the S3CNet model in the S3CNet: A Sparse Semantic Scene Completion Network for LiDAR Point Clouds paper on the SemanticKITTI dataset? | mIoU |
What metrics were used to measure the JS3C-Net model in the Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion paper on the SemanticKITTI dataset? | mIoU |
What metrics were used to measure the SSA-SC model in the Semantic Segmentation-assisted Scene Completion for LiDAR Point Clouds paper on the SemanticKITTI dataset? | mIoU |
What metrics were used to measure the Local-DIFs model in the Semantic Scene Completion using Local Deep Implicit Functions on LiDAR Data paper on the SemanticKITTI dataset? | mIoU |
What metrics were used to measure the UDNet model in the Up-to-Down Network: Fusing Multi-Scale Context for 3D Semantic Scene Completion paper on the SemanticKITTI dataset? | mIoU |
What metrics were used to measure the TS3D+DNet+SATNet (Reported in SemanticKITTI dataset paper) model in the Two Stream 3D Semantic Scene Completion paper on the SemanticKITTI dataset? | mIoU |
What metrics were used to measure the LMSCNet-SS model in the LMSCNet: Lightweight Multiscale 3D Semantic Completion paper on the SemanticKITTI dataset? | mIoU |
What metrics were used to measure the ESSCNet model in the Efficient Semantic Scene Completion Network with Spatial Group Convolution paper on the SemanticKITTI dataset? | mIoU |
What metrics were used to measure the LMSCNet model in the LMSCNet: Lightweight Multiscale 3D Semantic Completion paper on the SemanticKITTI dataset? | mIoU |
What metrics were used to measure the SSCNet (reported in LMSCNet) model in the Semantic Scene Completion from a Single Depth Image paper on the SemanticKITTI dataset? | mIoU |
What metrics were used to measure the SSCNet-full (reported in LMSCNet) model in the Semantic Scene Completion from a Single Depth Image paper on the SemanticKITTI dataset? | mIoU |
What metrics were used to measure the OccDepth(RGB input only) model in the OccDepth: A Depth-Aware Method for 3D Semantic Scene Completion paper on the SemanticKITTI dataset? | mIoU |
What metrics were used to measure the Symphonies (RGB input only) model in the Symphonize 3D Semantic Scene Completion with Contextual Instance Queries paper on the SemanticKITTI dataset? | mIoU |
What metrics were used to measure the MonoScene (RGB input only) model in the MonoScene: Monocular 3D Semantic Scene Completion paper on the SemanticKITTI dataset? | mIoU |
What metrics were used to measure the TS3D+DNet (Reported in SemanticKITTI dataset paper) model in the Two Stream 3D Semantic Scene Completion paper on the SemanticKITTI dataset? | mIoU |
What metrics were used to measure the TS3D (Reported in SemanticKITTI dataset paper) model in the Two Stream 3D Semantic Scene Completion paper on the SemanticKITTI dataset? | mIoU |
What metrics were used to measure the Symphonies model in the Symphonize 3D Semantic Scene Completion with Contextual Instance Queries paper on the KITTI-360 dataset? | mIoU |
What metrics were used to measure the SSCNet model in the Semantic Scene Completion from a Single Depth Image paper on the KITTI-360 dataset? | mIoU |
What metrics were used to measure the OccFormer model in the OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction paper on the KITTI-360 dataset? | mIoU |
What metrics were used to measure the LMSCNet model in the LMSCNet: Lightweight Multiscale 3D Semantic Completion paper on the KITTI-360 dataset? | mIoU |
What metrics were used to measure the TPVFormer model in the Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction paper on the KITTI-360 dataset? | mIoU |
What metrics were used to measure the MonoScene model in the MonoScene: Monocular 3D Semantic Scene Completion paper on the KITTI-360 dataset? | mIoU |
What metrics were used to measure the VoxFormer model in the VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion paper on the KITTI-360 dataset? | mIoU |
What metrics were used to measure the GAL 120B model in the Galactica: A Large Language Model for Science paper on the CrowS-Pairs dataset? | Gender, Religion, Race/Color, Sexual Orientation, Age, Nationality, Disability, Physical Appearance, Socioeconomic status, Overall |
What metrics were used to measure the GPT-3 model in the OPT: Open Pre-trained Transformer Language Models paper on the CrowS-Pairs dataset? | Gender, Religion, Race/Color, Sexual Orientation, Age, Nationality, Disability, Physical Appearance, Socioeconomic status, Overall |
What metrics were used to measure the OPT-175B model in the OPT: Open Pre-trained Transformer Language Models paper on the CrowS-Pairs dataset? | Gender, Religion, Race/Color, Sexual Orientation, Age, Nationality, Disability, Physical Appearance, Socioeconomic status, Overall |
What metrics were used to measure the LLaMA 65B model in the LLaMA: Open and Efficient Foundation Language Models paper on the CrowS-Pairs dataset? | Gender, Religion, Race/Color, Sexual Orientation, Age, Nationality, Disability, Physical Appearance, Socioeconomic status, Overall |
What metrics were used to measure the DCF model in the Deep convolutional forest: a dynamic deep ensemble approach for spam detection in text paper on the SMS Spam Collection Data Set dataset? | Accuracy (%) |
What metrics were used to measure the BERT model in the Traditional and context-specific spam detection in low resource settings paper on the Traditional and Context-specific Spam Twitter dataset? | Avg F1 |
What metrics were used to measure the PaLM 62B (few-shot, k=5) model in the PaLM: Scaling Language Modeling with Pathways paper on the Big-bench Lite dataset? | Exact string match |
What metrics were used to measure the PaLM 540B (few-shot, k=5) model in the PaLM: Scaling Language Modeling with Pathways paper on the Big-bench Lite dataset? | Exact string match |
What metrics were used to measure the PaLM 8B (few-shot, k=5) model in the PaLM: Scaling Language Modeling with Pathways paper on the Big-bench Lite dataset? | Exact string match |
What metrics were used to measure the Gato model in the A Generalist Agent paper on the RGB-Stacking dataset? | Group 1, Group 2, Group 3, Group 4, Group 5, Average |
What metrics were used to measure the BC - IMP model in the Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes paper on the RGB-Stacking dataset? | Group 1, Group 2, Group 3, Group 4, Group 5, Average |
What metrics were used to measure the Gato model in the A Generalist Agent paper on the RGB-Stacking dataset? | Average, Group 1, Group 2, Group 3, Group 4, Group 5 |
What metrics were used to measure the BC-IMP model in the Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes paper on the RGB-Stacking dataset? | Average, Group 1, Group 2, Group 3, Group 4, Group 5 |
What metrics were used to measure the I2P-MAE model in the Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders paper on the ModelNet40 dataset? | Overall Accuracy |
What metrics were used to measure the ReCon model in the Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining paper on the ModelNet40 dataset? | Overall Accuracy |
What metrics were used to measure the Point-M2AE model in the Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training paper on the ModelNet40 dataset? | Overall Accuracy |
What metrics were used to measure the IAE (DGCNN) model in the Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning paper on the ModelNet40 dataset? | Overall Accuracy |
What metrics were used to measure the CrossPoint model in the CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding paper on the ModelNet40 dataset? | Overall Accuracy |
What metrics were used to measure the STRL model in the Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds paper on the ModelNet40 dataset? | Overall Accuracy |
What metrics were used to measure the PSG-Net model in the Progressive Seed Generation Auto-encoder for Unsupervised Point Cloud Learning paper on the ModelNet40 dataset? | Overall Accuracy |
What metrics were used to measure the PointOE model in the Self-supervised Learning of Point Clouds via Orientation Estimation paper on the ModelNet40 dataset? | Overall Accuracy |
What metrics were used to measure the Point-Jigsaw model in the Self-Supervised Deep Learning on Point Clouds by Reconstructing Space paper on the ModelNet40 dataset? | Overall Accuracy |
What metrics were used to measure the MID-FC model in the Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination paper on the ModelNet40 dataset? | Overall Accuracy |
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