prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
|---|---|
What metrics were used to measure the Top Down Transformer (AdaPool) (464M) model in the Long Document Summarization with Top-down and Bottom-up Inference paper on the arXiv dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the BART-LS model in the Adapting Pretrained Text-to-Text Models for Long Text Sequences paper on the arXiv dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the Pegasus-X model in the Investigating Efficiently Extending Transformers for Long Input Summarization paper on the arXiv dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the ExtSum + oracle segmentation (extractive) model in the Document Summarization with Text Segmentation paper on the arXiv dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the FactorSum model in the Factorizing Content and Budget Decisions in Abstractive Summarization of Long Documents paper on the arXiv dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the ExtSum + supervised segmentation (extractive) model in the Document Summarization with Text Segmentation paper on the arXiv dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the Lodoss-full-large (extractive) model in the Toward Unifying Text Segmentation and Long Document Summarization paper on the arXiv dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the MemSum (extractive) model in the MemSum: Extractive Summarization of Long Documents Using Multi-Step Episodic Markov Decision Processes paper on the arXiv dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the LongT5 model in the LongT5: Efficient Text-To-Text Transformer for Long Sequences paper on the arXiv dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the Lodoss-full-base (extractive) model in the Toward Unifying Text Segmentation and Long Document Summarization paper on the arXiv dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the DeepPyramidion model in the Sparsifying Transformer Models with Trainable Representation Pooling paper on the arXiv dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the Blockwise(baseline) model in the Sparsifying Transformer Models with Trainable Representation Pooling paper on the arXiv dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the HAT-BART model in the Hierarchical Learning for Generation with Long Source Sequences paper on the arXiv dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the BigBird-Pegasus model in the Big Bird: Transformers for Longer Sequences paper on the arXiv dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the HiStruct+ model in the HiStruct+: Improving Extractive Text Summarization with Hierarchical Structure Information paper on the arXiv dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the DANCER PEGASUS model in the A Divide-and-Conquer Approach to the Summarization of Long Documents paper on the arXiv dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the PEGASUS model in the PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization paper on the arXiv dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the ExtSum-LG+RdLoss model in the Systematically Exploring Redundancy Reduction in Summarizing Long Documents paper on the arXiv dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the ExtSum-LG+MMR-Select+ model in the Systematically Exploring Redundancy Reduction in Summarizing Long Documents paper on the arXiv dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the ExtSum-LG model in the Extractive Summarization of Long Documents by Combining Global and Local Context paper on the arXiv dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the SRformer-BART model in the Segmented Recurrent Transformer: An Efficient Sequence-to-Sequence Model paper on the arXiv dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the DANCER RUM model in the A Divide-and-Conquer Approach to the Summarization of Long Documents paper on the arXiv dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the TLM-I+E model in the On Extractive and Abstractive Neural Document Summarization with Transformer Language Models paper on the arXiv dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the Sent-PTR model in the On Extractive and Abstractive Neural Document Summarization with Transformer Language Models paper on the arXiv dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the DANCER LSTM model in the A Divide-and-Conquer Approach to the Summarization of Long Documents paper on the arXiv dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the GenCompareSum model in the GenCompareSum: a hybrid unsupervised summarization method using salience paper on the arXiv dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the Discourse model in the A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents paper on the arXiv dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the Sent-CLF model in the On Extractive and Abstractive Neural Document Summarization with Transformer Language Models paper on the arXiv dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the Pntr-Gen-Seq2Seq model in the Get To The Point: Summarization with Pointer-Generator Networks paper on the arXiv dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the mBARThez (OrangeSum abstract) model in the BARThez: a Skilled Pretrained French Sequence-to-Sequence Model paper on the OrangeSum dataset? | ROUGE-1 |
What metrics were used to measure the BARThez (OrangeSum abstract) model in the BARThez: a Skilled Pretrained French Sequence-to-Sequence Model paper on the OrangeSum dataset? | ROUGE-1 |
What metrics were used to measure the Transformer+WDrop model in the Rethinking Perturbations in Encoder-Decoders for Fast Training paper on the DUC 2004 Task 1 dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the Transformer+LRPE+PE+Re-ranking+Ensemble model in the Positional Encoding to Control Output Sequence Length paper on the DUC 2004 Task 1 dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the Transformer+LRPE+PE+ALONE+Re-ranking model in the All Word Embeddings from One Embedding paper on the DUC 2004 Task 1 dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the EndDec+WFE model in the Cutting-off Redundant Repeating Generations for Neural Abstractive Summarization paper on the DUC 2004 Task 1 dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the DRGD model in the Deep Recurrent Generative Decoder for Abstractive Text Summarization paper on the DUC 2004 Task 1 dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the Reinforced-Topic-ConvS2S model in the A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization paper on the DUC 2004 Task 1 dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the Seq2seq + selective + MTL + ERAM model in the Ensure the Correctness of the Summary: Incorporate Entailment Knowledge into Abstractive Sentence Summarization paper on the DUC 2004 Task 1 dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the SEASS model in the Selective Encoding for Abstractive Sentence Summarization paper on the DUC 2004 Task 1 dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the RAS-Elman model in the Abstractive Sentence Summarization with Attentive Recurrent Neural Networks paper on the DUC 2004 Task 1 dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the words-lvt5k-1sent model in the Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond paper on the DUC 2004 Task 1 dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the Abs+ model in the A Neural Attention Model for Abstractive Sentence Summarization paper on the DUC 2004 Task 1 dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the Transformer LM model in the Sample Efficient Text Summarization Using a Single Pre-Trained Transformer paper on the DUC 2004 Task 1 dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the ABS model in the A Neural Attention Model for Abstractive Sentence Summarization paper on the DUC 2004 Task 1 dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the BART model in the MentSum: A Resource for Exploring Summarization of Mental Health Online Posts paper on the MentSum dataset? | Rouge-1, Rouge-2, Rouge-L |
What metrics were used to measure the InstructDS model in the Instructive Dialogue Summarization with Query Aggregations paper on the SAMSum Corpus dataset? | ROUGE-1, ROUGE-2, ROUGE-L, BertScoreF1 |
What metrics were used to measure the MoCa model in the Momentum Calibration for Text Generation paper on the SAMSum Corpus dataset? | ROUGE-1, ROUGE-2, ROUGE-L, BertScoreF1 |
What metrics were used to measure the PEGASUS 2B + SliC model in the Calibrating Sequence likelihood Improves Conditional Language Generation paper on the SAMSum Corpus dataset? | ROUGE-1, ROUGE-2, ROUGE-L, BertScoreF1 |
What metrics were used to measure the ConDigSum model in the Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization paper on the SAMSum Corpus dataset? | ROUGE-1, ROUGE-2, ROUGE-L, BertScoreF1 |
What metrics were used to measure the SICK model in the Mind the Gap! Injecting Commonsense Knowledge for Abstractive Dialogue Summarization paper on the SAMSum Corpus dataset? | ROUGE-1, ROUGE-2, ROUGE-L, BertScoreF1 |
What metrics were used to measure the HAT-CNNDM model in the Hierarchical Learning for Generation with Long Source Sequences paper on the SAMSum Corpus dataset? | ROUGE-1, ROUGE-2, ROUGE-L, BertScoreF1 |
What metrics were used to measure the BART-Large model in the Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization paper on the SAMSum Corpus dataset? | ROUGE-1, ROUGE-2, ROUGE-L, BertScoreF1 |
What metrics were used to measure the HAT-CNNDM RL model in the Hierarchical Learning for Generation with Long Source Sequences paper on the SAMSum Corpus dataset? | ROUGE-1, ROUGE-2, ROUGE-L, BertScoreF1 |
What metrics were used to measure the LSTM-seq2seq model in the LCSTS: A Large Scale Chinese Short Text Summarization Dataset paper on the LCSTS dataset? | ROUGE-1 |
What metrics were used to measure the Pegasus+DotProd model in the Beyond Reptile: Meta-Learned Dot-Product Maximization between Gradients for Improved Single-Task Regularization paper on the GigaWord dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the BART-RXF model in the Better Fine-Tuning by Reducing Representational Collapse paper on the GigaWord dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the MUPPET BART Large model in the Muppet: Massive Multi-task Representations with Pre-Finetuning paper on the GigaWord dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the OFA model in the OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework paper on the GigaWord dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the Transformer+Rep(Uni) model in the Rethinking Perturbations in Encoder-Decoders for Fast Training paper on the GigaWord dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the Transformer+Wdrop model in the Rethinking Perturbations in Encoder-Decoders for Fast Training paper on the GigaWord dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the ProphetNet model in the ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training paper on the GigaWord dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the ERNIE-GENLARGE (large-scale text corpora) model in the ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation paper on the GigaWord dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the PALM model in the PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation paper on the GigaWord dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the Best Summary Length model in the A New Approach to Overgenerating and Scoring Abstractive Summaries paper on the GigaWord dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the ERNIE-GENLARGE model in the ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation paper on the GigaWord dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the ControlCopying + BPNorm model in the Controlling the Amount of Verbatim Copying in Abstractive Summarization paper on the GigaWord dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the PEGASUS model in the PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization paper on the GigaWord dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the BiSET model in the BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization paper on the GigaWord dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the ControlCopying + SBWR model in the Controlling the Amount of Verbatim Copying in Abstractive Summarization paper on the GigaWord dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the UniLM model in the Unified Language Model Pre-training for Natural Language Understanding and Generation paper on the GigaWord dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the ERNIE-GENBASE model in the ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation paper on the GigaWord dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the MASS model in the MASS: Masked Sequence to Sequence Pre-training for Language Generation paper on the GigaWord dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the Mask Attention Network model in the Mask Attention Networks: Rethinking and Strengthen Transformer paper on the GigaWord dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the Transformer model in the Attention Is All You Need paper on the GigaWord dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the FTSum_g model in the Faithful to the Original: Fact Aware Neural Abstractive Summarization paper on the GigaWord dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the Re^3 Sum model in the Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization paper on the GigaWord dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the Seq2seq + E2T_cnn model in the Entity Commonsense Representation for Neural Abstractive Summarization paper on the GigaWord dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the Concept pointer+DS model in the Concept Pointer Network for Abstractive Summarization paper on the GigaWord dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the Reinforced-Topic-ConvS2S model in the A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization paper on the GigaWord dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the JointParsing model in the Joint Parsing and Generation for Abstractive Summarization paper on the GigaWord dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the words-lvt5k-1sent model in the Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond paper on the GigaWord dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the CGU model in the Global Encoding for Abstractive Summarization paper on the GigaWord dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the EndDec+WFE model in the Cutting-off Redundant Repeating Generations for Neural Abstractive Summarization paper on the GigaWord dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the DRGD model in the Deep Recurrent Generative Decoder for Abstractive Text Summarization paper on the GigaWord dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the SEASS model in the Selective Encoding for Abstractive Sentence Summarization paper on the GigaWord dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the Pointer + Coverage + EntailmentGen + QuestionGen model in the Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation paper on the GigaWord dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the Struct+2Way+Word model in the Structure-Infused Copy Mechanisms for Abstractive Summarization paper on the GigaWord dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the Seq2seq + selective + MTL + ERAM model in the Ensure the Correctness of the Summary: Incorporate Entailment Knowledge into Abstractive Sentence Summarization paper on the GigaWord dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the RAS-Elman model in the Abstractive Sentence Summarization with Attentive Recurrent Neural Networks paper on the GigaWord dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the Abs+ model in the A Neural Attention Model for Abstractive Sentence Summarization paper on the GigaWord dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the Abs model in the A Neural Attention Model for Abstractive Sentence Summarization paper on the GigaWord dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the Contextual Match model in the Simple Unsupervised Summarization by Contextual Matching paper on the GigaWord dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the FingerFlex model in the FingerFlex: Inferring Finger Trajectories from ECoG signals paper on the Stanford ECoG library: ECoG to Finger Movements dataset? | Pearson Correlation |
What metrics were used to measure the FingerFlex model in the FingerFlex: Inferring Finger Trajectories from ECoG signals paper on the BCI Competition IV: ECoG to Finger Movements dataset? | Pearson Correlation |
What metrics were used to measure the Gradient boosted trees on Riemannian features model in the Fast and accurate decoding of finger movements from ECoG through Riemannian features and modern machine learning techniques paper on the BCI Competition IV: ECoG to Finger Movements dataset? | Pearson Correlation |
What metrics were used to measure the CNN-LSTM model in the Decoding of finger trajectory from ECoG using deep learning paper on the BCI Competition IV: ECoG to Finger Movements dataset? | Pearson Correlation |
What metrics were used to measure the Multi purpose CNN model in the Interpreting wide-band neural activity using convolutional neural networks paper on the BCI Competition IV: ECoG to Finger Movements dataset? | Pearson Correlation |
What metrics were used to measure the Linear regression based on band-specific ECoG model in the Decoding finger flexion from band-specific ECoG signals in humans paper on the BCI Competition IV: ECoG to Finger Movements dataset? | Pearson Correlation |
What metrics were used to measure the Interpretable Compact CNN model in the Decoding and interpreting cortical signals with a compact convolutional neural network paper on the BCI Competition IV: ECoG to Finger Movements dataset? | Pearson Correlation |
What metrics were used to measure the Switching linear models model in the Decoding finger movements from ECoG signals using switching linear models paper on the BCI Competition IV: ECoG to Finger Movements dataset? | Pearson Correlation |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.