prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
|---|---|
What metrics were used to measure the longdoc joint training model in the On Generalization in Coreference Resolution paper on the WikiCoref dataset? | F1 |
What metrics were used to measure the DeBERTa-1.5B model in the DeBERTa: Decoding-enhanced BERT with Disentangled Attention paper on the Winograd Schema Challenge dataset? | Accuracy |
What metrics were used to measure the T5-11B model in the Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer paper on the Winograd Schema Challenge dataset? | Accuracy |
What metrics were used to measure the GPT-3 175B (Few-Shot) model in the Language Models are Few-Shot Learners paper on the Winograd Schema Challenge dataset? | Accuracy |
What metrics were used to measure the longdoc joint training model in the On Generalization in Coreference Resolution paper on the Winograd Schema Challenge dataset? | Accuracy |
What metrics were used to measure the DeepStruct multi-task w/ finetune model in the DeepStruct: Pretraining of Language Models for Structure Prediction paper on the CoNLL12 dataset? | Average F1, B3, CEAFϕ4, MUC |
What metrics were used to measure the DeepStruct multi-task model in the DeepStruct: Pretraining of Language Models for Structure Prediction paper on the CoNLL12 dataset? | Average F1, B3, CEAFϕ4, MUC |
What metrics were used to measure the HG model in the Entity Resolution with Hierarchical Graph Attention Networks paper on the WDC Watches-small dataset? | F1 (%) |
What metrics were used to measure the DADER-NoDA model in the Domain Adaptation for Deep Entity Resolution: A Design Space Exploration paper on the WDC Watches-small dataset? | F1 (%) |
What metrics were used to measure the Ditto model in the Deep Entity Matching with Pre-Trained Language Models paper on the WDC Watches-small dataset? | F1 (%) |
What metrics were used to measure the JointBERT model in the Dual-Objective Fine-Tuning of BERT for Entity Matching paper on the WDC Watches-small dataset? | F1 (%) |
What metrics were used to measure the RoBERTa-base model in the WDC Products: A Multi-Dimensional Entity Matching Benchmark paper on the WDC Products-50%cc-unseen-medium dataset? | F1 (%) |
What metrics were used to measure the Ditto model in the WDC Products: A Multi-Dimensional Entity Matching Benchmark paper on the WDC Products-50%cc-unseen-medium dataset? | F1 (%) |
What metrics were used to measure the HG model in the WDC Products: A Multi-Dimensional Entity Matching Benchmark paper on the WDC Products-50%cc-unseen-medium dataset? | F1 (%) |
What metrics were used to measure the RoBERTa-SupCon model in the WDC Products: A Multi-Dimensional Entity Matching Benchmark paper on the WDC Products-50%cc-unseen-medium dataset? | F1 (%) |
What metrics were used to measure the ALMSER-GB model in the Graph-boosted Active Learning for Multi-Source Entity Resolution paper on the MusicBrainz20K dataset? | F1 |
What metrics were used to measure the FAMER-SplitMerge model in the Scalable Matching and Clustering of Entities with FAMER paper on the MusicBrainz20K dataset? | F1 |
What metrics were used to measure the FAMER-Split model in the Scalable Matching and Clustering of Entities with FAMER paper on the MusicBrainz20K dataset? | F1 |
What metrics were used to measure the gpt4-0613_zeroshot model in the Entity Matching using Large Language Models paper on the WDC Products-80%cc-seen-medium dataset? | F1 (%) |
What metrics were used to measure the RoBERTa-SupCon model in the WDC Products: A Multi-Dimensional Entity Matching Benchmark paper on the WDC Products-80%cc-seen-medium dataset? | F1 (%) |
What metrics were used to measure the Ditto model in the WDC Products: A Multi-Dimensional Entity Matching Benchmark paper on the WDC Products-80%cc-seen-medium dataset? | F1 (%) |
What metrics were used to measure the RoBERTa-base model in the WDC Products: A Multi-Dimensional Entity Matching Benchmark paper on the WDC Products-80%cc-seen-medium dataset? | F1 (%) |
What metrics were used to measure the HG model in the WDC Products: A Multi-Dimensional Entity Matching Benchmark paper on the WDC Products-80%cc-seen-medium dataset? | F1 (%) |
What metrics were used to measure the JointBERT model in the Dual-Objective Fine-Tuning of BERT for Entity Matching paper on the WDC Watches-xlarge dataset? | F1 (%) |
What metrics were used to measure the Ditto model in the Deep Entity Matching with Pre-Trained Language Models paper on the WDC Watches-xlarge dataset? | F1 (%) |
What metrics were used to measure the HG model in the Entity Resolution with Hierarchical Graph Attention Networks paper on the WDC Watches-xlarge dataset? | F1 (%) |
What metrics were used to measure the RoBERTa-SupCon model in the WDC Products: A Multi-Dimensional Entity Matching Benchmark paper on the WDC Products-80%cc-seen-medium-multi dataset? | F1 Micro |
What metrics were used to measure the RoBERTa-base model in the WDC Products: A Multi-Dimensional Entity Matching Benchmark paper on the WDC Products-80%cc-seen-medium-multi dataset? | F1 Micro |
What metrics were used to measure the BERT model in the Intermediate Training of BERT for Product Matching paper on the WDC Computers-small dataset? | F1 (%) |
What metrics were used to measure the RoBERTa-SupCon model in the Supervised Contrastive Learning for Product Matching paper on the WDC Computers-small dataset? | F1 (%) |
What metrics were used to measure the HG model in the Entity Resolution with Hierarchical Graph Attention Networks paper on the WDC Computers-small dataset? | F1 (%) |
What metrics were used to measure the DADER-MMD model in the Domain Adaptation for Deep Entity Resolution: A Design Space Exploration paper on the WDC Computers-small dataset? | F1 (%) |
What metrics were used to measure the Ditto model in the Deep Entity Matching with Pre-Trained Language Models paper on the WDC Computers-small dataset? | F1 (%) |
What metrics were used to measure the JointBERT model in the Dual-Objective Fine-Tuning of BERT for Entity Matching paper on the WDC Computers-small dataset? | F1 (%) |
What metrics were used to measure the gpt4-0613_zeroshot model in the Entity Matching using Large Language Models paper on the Abt-Buy dataset? | F1 (%) |
What metrics were used to measure the RoBERTa-SupCon model in the Supervised Contrastive Learning for Product Matching paper on the Abt-Buy dataset? | F1 (%) |
What metrics were used to measure the RobEM model in the Probing the Robustness of Pre-trained Language Models for Entity Matching paper on the Abt-Buy dataset? | F1 (%) |
What metrics were used to measure the HG model in the Entity Resolution with Hierarchical Graph Attention Networks paper on the Abt-Buy dataset? | F1 (%) |
What metrics were used to measure the Ditto model in the Deep Entity Matching with Pre-Trained Language Models paper on the Abt-Buy dataset? | F1 (%) |
What metrics were used to measure the Random Forest model in the Profiling Entity Matching Benchmark Tasks paper on the Abt-Buy dataset? | F1 (%) |
What metrics were used to measure the JointBERT model in the Dual-Objective Fine-Tuning of BERT for Entity Matching paper on the Abt-Buy dataset? | F1 (%) |
What metrics were used to measure the DADER-MMD model in the Domain Adaptation for Deep Entity Resolution: A Design Space Exploration paper on the Abt-Buy dataset? | F1 (%) |
What metrics were used to measure the DeepMatcher - Hybrid model in the Deep Learning for Entity Matching: A Design Space Exploration paper on the Abt-Buy dataset? | F1 (%) |
What metrics were used to measure the RoBERTa-SupCon model in the Supervised Contrastive Learning for Product Matching paper on the WDC Computers-xlarge dataset? | F1 (%) |
What metrics were used to measure the JointBERT model in the Dual-Objective Fine-Tuning of BERT for Entity Matching paper on the WDC Computers-xlarge dataset? | F1 (%) |
What metrics were used to measure the BERT model in the Intermediate Training of BERT for Product Matching paper on the WDC Computers-xlarge dataset? | F1 (%) |
What metrics were used to measure the HG model in the Entity Resolution with Hierarchical Graph Attention Networks paper on the WDC Computers-xlarge dataset? | F1 (%) |
What metrics were used to measure the Ditto model in the Deep Entity Matching with Pre-Trained Language Models paper on the WDC Computers-xlarge dataset? | F1 (%) |
What metrics were used to measure the Random Forest model in the Profiling Entity Matching Benchmark Tasks paper on the WDC Computers-xlarge dataset? | F1 (%) |
What metrics were used to measure the gpt4-0613_fewshot-10 model in the Entity Matching using Large Language Models paper on the Amazon-Google dataset? | F1 (%) |
What metrics were used to measure the RoBERTa-SupCon model in the Supervised Contrastive Learning for Product Matching paper on the Amazon-Google dataset? | F1 (%) |
What metrics were used to measure the RobEM model in the Probing the Robustness of Pre-trained Language Models for Entity Matching paper on the Amazon-Google dataset? | F1 (%) |
What metrics were used to measure the Random Forest model in the Profiling Entity Matching Benchmark Tasks paper on the Amazon-Google dataset? | F1 (%) |
What metrics were used to measure the HG model in the Entity Resolution with Hierarchical Graph Attention Networks paper on the Amazon-Google dataset? | F1 (%) |
What metrics were used to measure the Ditto model in the Deep Entity Matching with Pre-Trained Language Models paper on the Amazon-Google dataset? | F1 (%) |
What metrics were used to measure the CorDEL-Sum model in the CorDEL: A Contrastive Deep Learning Approach for Entity Linkage paper on the Amazon-Google dataset? | F1 (%) |
What metrics were used to measure the DeepMatcher - Hybrid model in the Deep Learning for Entity Matching: A Design Space Exploration paper on the Amazon-Google dataset? | F1 (%) |
What metrics were used to measure the text-davinci-002_fewshot-10 model in the Can Foundation Models Wrangle Your Data? paper on the Amazon-Google dataset? | F1 (%) |
What metrics were used to measure the text-davinci-002_zeroshot model in the Can Foundation Models Wrangle Your Data? paper on the Amazon-Google dataset? | F1 (%) |
What metrics were used to measure the SUDHEER model in the Deep Convolutional Neural Network for Image Deconvolution paper on the FER2013 dataset? | 10% |
What metrics were used to measure the Lossyless Compressor model in the Lossy Compression for Lossless Prediction paper on the CIFAR-10 dataset? | Bit rate |
What metrics were used to measure the iFlow model in the iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder paper on the ImageNet32 dataset? | bpsp |
What metrics were used to measure the MS-PixelCNN model in the Parallel Multiscale Autoregressive Density Estimation paper on the ImageNet32 dataset? | bpsp |
What metrics were used to measure the L3C model in the Practical Full Resolution Learned Lossless Image Compression paper on the ImageNet32 dataset? | bpsp |
What metrics were used to measure the JPEG2000 model in the Practical Full Resolution Learned Lossless Image Compression paper on the ImageNet32 dataset? | bpsp |
What metrics were used to measure the PNG model in the Practical Full Resolution Learned Lossless Image Compression paper on the ImageNet32 dataset? | bpsp |
What metrics were used to measure the Lossyless Compressor model in the Lossy Compression for Lossless Prediction paper on the PCam dataset? | Bit rate |
What metrics were used to measure the MLIC+ model in the MLIC: Multi-Reference Entropy Model for Learned Image Compression paper on the kodak dataset? | BD-Rate over VTM-17.0 |
What metrics were used to measure the MLIC++ model in the MLIC++: Linear Complexity Multi-Reference Entropy Modeling for Learned Image Compression paper on the kodak dataset? | BD-Rate over VTM-17.0 |
What metrics were used to measure the MLIC model in the MLIC: Multi-Reference Entropy Model for Learned Image Compression paper on the kodak dataset? | BD-Rate over VTM-17.0 |
What metrics were used to measure the LIC-TCM Large model in the Learned Image Compression with Mixed Transformer-CNN Architectures paper on the kodak dataset? | BD-Rate over VTM-17.0 |
What metrics were used to measure the ELIC model in the ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding paper on the kodak dataset? | BD-Rate over VTM-17.0 |
What metrics were used to measure the WACNN model in the The Devil Is in the Details: Window-based Attention for Image Compression paper on the kodak dataset? | BD-Rate over VTM-17.0 |
What metrics were used to measure the STF model in the The Devil Is in the Details: Window-based Attention for Image Compression paper on the kodak dataset? | BD-Rate over VTM-17.0 |
What metrics were used to measure the RK-CCSNet model in the Sequential Convolution and Runge-Kutta Residual Architecture for Image Compressed Sensing paper on the BSDS500 dataset? | Average PSNR, SSIM |
What metrics were used to measure the Lossyless Compressor model in the Lossy Compression for Lossless Prediction paper on the Cars-196 dataset? | Bit rate |
What metrics were used to measure the Lossyless Compressor model in the Lossy Compression for Lossless Prediction paper on the Oxford-IIIT Pet Dataset dataset? | Bit rate |
What metrics were used to measure the Lossyless Compressor model in the Lossy Compression for Lossless Prediction paper on the STL-10 dataset? | Bit rate |
What metrics were used to measure the Lossyless Compressor model in the Lossy Compression for Lossless Prediction paper on the Caltech101 dataset? | Bit rate |
What metrics were used to measure the Lossyless Compressor model in the Lossy Compression for Lossless Prediction paper on the Food-101 dataset? | Bit rate |
What metrics were used to measure the Lossyless Compressor model in the Lossy Compression for Lossless Prediction paper on the ImageNet dataset? | Bit rate |
What metrics were used to measure the MobileBERT + 2bit-1dim model compression using DKM model in the R^2: Range Regularization for Model Compression and Quantization paper on the QNLI dataset? | Accuracy |
What metrics were used to measure the MobileBERT + 1bit-1dim model compression using DKM model in the R^2: Range Regularization for Model Compression and Quantization paper on the QNLI dataset? | Accuracy |
What metrics were used to measure the ADLIK-MO-ResNet50+W4A4 model in the Learned Step Size Quantization paper on the ImageNet dataset? | Top-1 |
What metrics were used to measure the ADLIK-MO-ResNet50+W3A4 model in the Learned Step Size Quantization paper on the ImageNet dataset? | Top-1 |
What metrics were used to measure the ResNet-18 + 4bit-1dim model compression using DKM model in the R^2: Range Regularization for Model Compression and Quantization paper on the ImageNet dataset? | Top-1 |
What metrics were used to measure the MobileNet-v1 + 4bit-1dim model compression using DKM model in the R^2: Range Regularization for Model Compression and Quantization paper on the ImageNet dataset? | Top-1 |
What metrics were used to measure the ResNet-18 + 2bit-1dim model compression using DKM model in the R^2: Range Regularization for Model Compression and Quantization paper on the ImageNet dataset? | Top-1 |
What metrics were used to measure the MobileNet-v1 + 2bit-1dim model compression using DKM model in the R^2: Range Regularization for Model Compression and Quantization paper on the ImageNet dataset? | Top-1 |
What metrics were used to measure the ResNet-18 + 4bit-4dim model compression using DKM model in the R^2: Range Regularization for Model Compression and Quantization paper on the ImageNet dataset? | Top-1 |
What metrics were used to measure the ResNet-18 + 2bit-2dim model compression using DKM model in the R^2: Range Regularization for Model Compression and Quantization paper on the ImageNet dataset? | Top-1 |
What metrics were used to measure the MobileNet-v1 + 4bit-4dim model compression using DKM model in the R^2: Range Regularization for Model Compression and Quantization paper on the ImageNet dataset? | Top-1 |
What metrics were used to measure the ResNet-18 + 1bit-1dim model compression using DKM model in the R^2: Range Regularization for Model Compression and Quantization paper on the ImageNet dataset? | Top-1 |
What metrics were used to measure the MobileNet-v1 + 2bit-2dim model compression using DKM model in the R^2: Range Regularization for Model Compression and Quantization paper on the ImageNet dataset? | Top-1 |
What metrics were used to measure the MobileNet-v1 + 1bit-1dim model compression using DKM model in the R^2: Range Regularization for Model Compression and Quantization paper on the ImageNet dataset? | Top-1 |
What metrics were used to measure the CroCo-Flow model in the CroCo v2: Improved Cross-view Completion Pre-training for Stereo Matching and Optical Flow paper on the Spring dataset? | 1px total |
What metrics were used to measure the MS-RAFT+ model in the High Resolution Multi-Scale RAFT (Robust Vision Challenge 2022) paper on the Spring dataset? | 1px total |
What metrics were used to measure the FlowFormer model in the FlowFormer: A Transformer Architecture for Optical Flow paper on the Spring dataset? | 1px total |
What metrics were used to measure the FlowNet2 model in the FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks paper on the Spring dataset? | 1px total |
What metrics were used to measure the RAFT model in the RAFT: Recurrent All-Pairs Field Transforms for Optical Flow paper on the Spring dataset? | 1px total |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.