prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the Cutoff + Relaxed Attention + LM model in the Relaxed Attention for Transformer Models paper on the IWSLT2014 German-English dataset? | BLEU score, Number of Params |
What metrics were used to measure the Transformer + R-Drop + Cutoff model in the R-Drop: Regularized Dropout for Neural Networks paper on the IWSLT2014 German-English dataset? | BLEU score, Number of Params |
What metrics were used to measure the SimCut model in the Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation paper on the IWSLT2014 German-English dataset? | BLEU score, Number of Params |
What metrics were used to measure the Cutoff+Knee model in the Wide-minima Density Hypothesis and the Explore-Exploit Learning Rate Schedule paper on the IWSLT2014 German-English dataset? | BLEU score, Number of Params |
What metrics were used to measure the Cutoff model in the A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation paper on the IWSLT2014 German-English dataset? | BLEU score, Number of Params |
What metrics were used to measure the CipherDAug model in the CipherDAug: Ciphertext based Data Augmentation for Neural Machine Translation paper on the IWSLT2014 German-English dataset? | BLEU score, Number of Params |
What metrics were used to measure the Transformer + R-Drop model in the R-Drop: Regularized Dropout for Neural Networks paper on the IWSLT2014 German-English dataset? | BLEU score, Number of Params |
What metrics were used to measure the Data Diversification model in the Data Diversification: A Simple Strategy For Neural Machine Translation paper on the IWSLT2014 German-English dataset? | BLEU score, Number of Params |
What metrics were used to measure the UniDrop model in the UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost paper on the IWSLT2014 German-English dataset? | BLEU score, Number of Params |
What metrics were used to measure the MixedRepresentations model in the Sequence Generation with Mixed Representations paper on the IWSLT2014 German-English dataset? | BLEU score, Number of Params |
What metrics were used to measure the Mask Attention Network (small) model in the Mask Attention Networks: Rethinking and Strengthen Transformer paper on the IWSLT2014 German-English dataset? | BLEU score, Number of Params |
What metrics were used to measure the MUSE(Parallel Multi-scale Attention) model in the MUSE: Parallel Multi-Scale Attention for Sequence to Sequence Learning paper on the IWSLT2014 German-English dataset? | BLEU score, Number of Params |
What metrics were used to measure the Transformer+Rep(Sim)+WDrop model in the Rethinking Perturbations in Encoder-Decoders for Fast Training paper on the IWSLT2014 German-English dataset? | BLEU score, Number of Params |
What metrics were used to measure the MAT model in the Multi-branch Attentive Transformer paper on the IWSLT2014 German-English dataset? | BLEU score, Number of Params |
What metrics were used to measure the TransformerBase + AutoDropout model in the AutoDropout: Learning Dropout Patterns to Regularize Deep Networks paper on the IWSLT2014 German-English dataset? | BLEU score, Number of Params |
What metrics were used to measure the Local Joint Self-attention model in the Joint Source-Target Self Attention with Locality Constraints paper on the IWSLT2014 German-English dataset? | BLEU score, Number of Params |
What metrics were used to measure the TaLK Convolutions model in the Time-aware Large Kernel Convolutions paper on the IWSLT2014 German-English dataset? | BLEU score, Number of Params |
What metrics were used to measure the ImitKD + Full model in the Autoregressive Knowledge Distillation through Imitation Learning paper on the IWSLT2014 German-English dataset? | BLEU score, Number of Params |
What metrics were used to measure the DeLighT model in the DeLighT: Deep and Light-weight Transformer paper on the IWSLT2014 German-English dataset? | BLEU score, Number of Params |
What metrics were used to measure the DynamicConv model in the Pay Less Attention with Lightweight and Dynamic Convolutions paper on the IWSLT2014 German-English dataset? | BLEU score, Number of Params |
What metrics were used to measure the Transformer model in the Guidelines for the Regularization of Gammas in Batch Normalization for Deep Residual Networks paper on the IWSLT2014 German-English dataset? | BLEU score, Number of Params |
What metrics were used to measure the LightConv model in the Pay Less Attention with Lightweight and Dynamic Convolutions paper on the IWSLT2014 German-English dataset? | BLEU score, Number of Params |
What metrics were used to measure the Transformer model in the Attention Is All You Need paper on the IWSLT2014 German-English dataset? | BLEU score, Number of Params |
What metrics were used to measure the Rfa-Gate-arccos model in the Random Feature Attention paper on the IWSLT2014 German-English dataset? | BLEU score, Number of Params |
What metrics were used to measure the Variational Attention model in the Latent Alignment and Variational Attention paper on the IWSLT2014 German-English dataset? | BLEU score, Number of Params |
What metrics were used to measure the Minimum Risk Training [Edunov2017] model in the Classical Structured Prediction Losses for Sequence to Sequence Learning paper on the IWSLT2014 German-English dataset? | BLEU score, Number of Params |
What metrics were used to measure the CNAT model in the Non-Autoregressive Translation by Learning Target Categorical Codes paper on the IWSLT2014 German-English dataset? | BLEU score, Number of Params |
What metrics were used to measure the Neural PBMT + LM [Huang2018] model in the Towards Neural Phrase-based Machine Translation paper on the IWSLT2014 German-English dataset? | BLEU score, Number of Params |
What metrics were used to measure the Back-Translation Finetuning model in the Tag-less Back-Translation paper on the IWSLT2014 German-English dataset? | BLEU score, Number of Params |
What metrics were used to measure the Actor-Critic [Bahdanau2017] model in the An Actor-Critic Algorithm for Sequence Prediction paper on the IWSLT2014 German-English dataset? | BLEU score, Number of Params |
What metrics were used to measure the Exploiting Mono at Scale (single) model in the Exploiting Monolingual Data at Scale for Neural Machine Translation paper on the WMT2019 German-English dataset? | SacreBLEU |
What metrics were used to measure the tensorflow/tensor2tensor model in the Neural Machine Translation paper on the 20NEWS dataset? | 1-of-100 Accuracy, Accuracy |
What metrics were used to measure the 12 model in the Effective Approaches to Attention-based Neural Machine Translation paper on the 20NEWS dataset? | 1-of-100 Accuracy, Accuracy |
What metrics were used to measure the Multi-pass backtranslated adapted transformer model in the Tilde's Machine Translation Systems for WMT 2018 paper on the WMT 2018 English-Estonian dataset? | BLEU |
What metrics were used to measure the Attentional encoder-decoder + BPE model in the Edinburgh Neural Machine Translation Systems for WMT 16 paper on the WMT2016 English-Russian dataset? | BLEU score |
What metrics were used to measure the PBSMT + NMT model in the Phrase-Based & Neural Unsupervised Machine Translation paper on the WMT2016 English-Russian dataset? | BLEU score |
What metrics were used to measure the Unsupervised PBSMT model in the Phrase-Based & Neural Unsupervised Machine Translation paper on the WMT2016 English-Russian dataset? | BLEU score |
What metrics were used to measure the Unsupervised NMT + Transformer model in the Phrase-Based & Neural Unsupervised Machine Translation paper on the WMT2016 English-Russian dataset? | BLEU score |
What metrics were used to measure the Transformer base + BPE-Dropout model in the BPE-Dropout: Simple and Effective Subword Regularization paper on the IWSLT2017 English-French dataset? | Cased sacreBLEU, SacreBLEU |
What metrics were used to measure the NLLB-200 model in the No Language Left Behind: Scaling Human-Centered Machine Translation paper on the IWSLT2017 English-French dataset? | Cased sacreBLEU, SacreBLEU |
What metrics were used to measure the Vega-MT model in the Vega-MT: The JD Explore Academy Translation System for WMT22 paper on the WMT 2022 Russian-English dataset? | SacreBLEU |
What metrics were used to measure the BP-Transformer model in the BP-Transformer: Modelling Long-Range Context via Binary Partitioning paper on the IWSLT2015 Chinese-English dataset? | BLEU |
What metrics were used to measure the CT+B/S construction model in the The University of Sydney's Machine Translation System for WMT19 paper on the WMT 2018 Finnish-English dataset? | BLEU |
What metrics were used to measure the Transformer trained on highly filtered data model in the Impact of Corpora Quality on Neural Machine Translation paper on the WMT 2018 Finnish-English dataset? | BLEU |
What metrics were used to measure the M_C model in the On Automatic Parsing of Log Records paper on the V_B (trained on T_H) dataset? | Median Relative Edit Distance |
What metrics were used to measure the CT+B/S construction model in the The University of Sydney's Machine Translation System for WMT19 paper on the WMT2016 Finnish-English dataset? | BLEU |
What metrics were used to measure the PS-KD model in the Self-Knowledge Distillation with Progressive Refinement of Targets paper on the IWSLT2015 English-German dataset? | BLEU score |
What metrics were used to measure the Transformer model in the Attention Is All You Need paper on the IWSLT2015 English-German dataset? | BLEU score |
What metrics were used to measure the NAT +FT + NPD model in the Non-Autoregressive Neural Machine Translation paper on the IWSLT2015 English-German dataset? | BLEU score |
What metrics were used to measure the Pervasive Attention model in the Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction paper on the IWSLT2015 English-German dataset? | BLEU score |
What metrics were used to measure the Denoising autoencoders (non-autoregressive) model in the Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement paper on the IWSLT2015 English-German dataset? | BLEU score |
What metrics were used to measure the ConvS2S model in the Convolutional Sequence to Sequence Learning paper on the IWSLT2015 English-German dataset? | BLEU score |
What metrics were used to measure the NPMT + language model model in the Towards Neural Phrase-based Machine Translation paper on the IWSLT2015 English-German dataset? | BLEU score |
What metrics were used to measure the RNNsearch model in the An Actor-Critic Algorithm for Sequence Prediction paper on the IWSLT2015 English-German dataset? | BLEU score |
What metrics were used to measure the Vega-MT model in the Vega-MT: The JD Explore Academy Translation System for WMT22 paper on the WMT 2022 Chinese-English dataset? | SacreBLEU |
What metrics were used to measure the Attentional encoder-decoder + BPE model in the Edinburgh Neural Machine Translation Systems for WMT 16 paper on the WMT2016 English-Czech dataset? | BLEU score |
What metrics were used to measure the PENELOPIE Transformers-based NMT (EN2EL) model in the PENELOPIE: Enabling Open Information Extraction for the Greek Language through Machine Translation paper on the Tatoeba (EN-to-EL) dataset? | BLEU |
What metrics were used to measure the Transformer trained on highly filtered data model in the Impact of Corpora Quality on Neural Machine Translation paper on the WMT 2018 English-Finnish dataset? | BLEU |
What metrics were used to measure the Transformer base + BPE-Dropout model in the BPE-Dropout: Simple and Effective Subword Regularization paper on the IWSLT2017 Arabic-English dataset? | Cased sacreBLEU, SacreBLEU |
What metrics were used to measure the NLLB-200 model in the No Language Left Behind: Scaling Human-Centered Machine Translation paper on the IWSLT2017 Arabic-English dataset? | Cased sacreBLEU, SacreBLEU |
What metrics were used to measure the Multi-pass backtranslated adapted transformer model in the Tilde's Machine Translation Systems for WMT 2018 paper on the WMT 2018 Estonian-English dataset? | BLEU |
What metrics were used to measure the Adaptively Sparse Transformer (alpha-entmax) model in the Adaptively Sparse Transformers paper on the IWSLT2017 German-English dataset? | BLEU score |
What metrics were used to measure the Adaptively Sparse Transformer (1.5-entmax) model in the Adaptively Sparse Transformers paper on the IWSLT2017 German-English dataset? | BLEU score |
What metrics were used to measure the DeLighT model in the DeLighT: Deep and Light-weight Transformer paper on the WMT2016 English-French dataset? | BLEU score |
What metrics were used to measure the fiore model in the Parallel Corpus Filtering via Pre-trained Language Models paper on the WMT2019 English-Japanese dataset? | BLEU |
What metrics were used to measure the Transformer base + BPE-Dropout model in the BPE-Dropout: Simple and Effective Subword Regularization paper on the IWSLT2017 English-Arabic dataset? | Cased sacreBLEU, SacreBLEU |
What metrics were used to measure the NLLB-200 model in the No Language Left Behind: Scaling Human-Centered Machine Translation paper on the IWSLT2017 English-Arabic dataset? | Cased sacreBLEU, SacreBLEU |
What metrics were used to measure the HeadMask (Random-18) model in the Alleviating the Inequality of Attention Heads for Neural Machine Translation paper on the WMT2017 Turkish-English dataset? | BLEU score |
What metrics were used to measure the HeadMask (Impt-18) model in the Alleviating the Inequality of Attention Heads for Neural Machine Translation paper on the WMT2017 Turkish-English dataset? | BLEU score |
What metrics were used to measure the Meta-Polyp model in the Meta-Polyp: a baseline for efficient Polyp segmentation paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the DUCK-Net model in the Using DUCK-Net for Polyp Image Segmentation paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the FCB-SwinV2 Transformer model in the FCB-SwinV2 Transformer for Polyp Segmentation paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the SEP model in the Spatially Exclusive Pasting: A General Data Augmentation for the Polyp Segmentation paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the FCBFormer model in the FCN-Transformer Feature Fusion for Polyp Segmentation paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the HarDNet-DFUS model in the HarDNet-DFUS: An Enhanced Harmonically-Connected Network for Diabetic Foot Ulcer Image Segmentation and Colonoscopy Polyp Segmentation paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the SSFormer-L model in the Stepwise Feature Fusion: Local Guides Global paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the ESFPNet-L model in the ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the UGCANet model in the UGCANet: A Unified Global Context-Aware Transformer-based Network with Feature Alignment for Endoscopic Image Analysis paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the PVT-GCASCADE model in the G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the ColonFormer model in the ColonFormer: An Efficient Transformer based Method for Colon Polyp Segmentation paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the RaBiT model in the RaBiT: An Efficient Transformer using Bidirectional Feature Pyramid Network with Reverse Attention for Colon Polyp Segmentation paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the GMSRF-Net model in the GMSRF-Net: An improved generalizability with global multi-scale residual fusion network for polyp segmentation paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the PVT-CASCADE model in the Medical Image Segmentation via Cascaded Attention Decoding paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the DuAT model in the DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the MSRF-Net model in the MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the CaraNet model in the CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the TransFuse-L model in the TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the TransFuse-S model in the TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the BDG-Net model in the BDG-Net: Boundary Distribution Guided Network for Accurate Polyp Segmentation paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the HarDNet-MSEG model in the HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPS paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the UACANet-L model in the UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the A-DenseUNet model in the A-DenseUNet: Adaptive Densely Connected UNet for Polyp Segmentation in Colonoscopy Images with Atrous Convolution paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the UACANet-S model in the UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the Polyp-SAM++ model in the Polyp-SAM++: Can A Text Guided SAM Perform Better for Polyp Segmentation? paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the AG-CUResNeSt model in the AG-CUResNeSt: A Novel Method for Colon Polyp Segmentation paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the TGA-Net model in the TGANet: Text-guided attention for improved polyp segmentation paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the PraNet model in the PraNet: Parallel Reverse Attention Network for Polyp Segmentation paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the TransResU-Net model in the TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentation paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the PEFNet model in the Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the FANet model in the FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
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