prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
|---|---|
What metrics were used to measure the Deep DCP model in the Unsupervised Single Image Dehazing Using Dark Channel Prior Loss paper on the SOTS Indoor dataset? | PSNR, SSIM |
What metrics were used to measure the DehazeFormer-B model in the Vision Transformers for Single Image Dehazing paper on the RESIDE-6K dataset? | PSNR, SSIM |
What metrics were used to measure the MixDehazeNet model in the MixDehazeNet : Mix Structure Block For Image Dehazing Network paper on the RESIDE-6K dataset? | PSNR, SSIM |
What metrics were used to measure the DA-CLIP model in the Controlling Vision-Language Models for Universal Image Restoration paper on the RESIDE-6K dataset? | PSNR, SSIM |
What metrics were used to measure the FFA-Net model in the FFA-Net: Feature Fusion Attention Network for Single Image Dehazing paper on the RESIDE-6K dataset? | PSNR, SSIM |
What metrics were used to measure the DA model in the Domain Adaptation for Image Dehazing paper on the RESIDE-6K dataset? | PSNR, SSIM |
What metrics were used to measure the DCPDN model in the Densely Connected Pyramid Dehazing Network paper on the RESIDE-6K dataset? | PSNR, SSIM |
What metrics were used to measure the ChaIR model in the Exploring the potential of channel interactions for image restoration paper on the SOTS Outdoor dataset? | PSNR, SSIM |
What metrics were used to measure the SFNet model in the Selective Frequency Network for Image Restoration paper on the SOTS Outdoor dataset? | PSNR, SSIM |
What metrics were used to measure the IRNeXt model in the IRNeXt: Rethinking Convolutional Network Design for Image Restoration paper on the SOTS Outdoor dataset? | PSNR, SSIM |
What metrics were used to measure the SANet model in the Strip Attention for Image Restoration paper on the SOTS Outdoor dataset? | PSNR, SSIM |
What metrics were used to measure the FocalNet model in the Focal Network for Image Restoration paper on the SOTS Outdoor dataset? | PSNR, SSIM |
What metrics were used to measure the C2PNet model in the Curricular Contrastive Regularization for Physics-aware Single Image Dehazing paper on the SOTS Outdoor dataset? | PSNR, SSIM |
What metrics were used to measure the gUNet-D model in the Rethinking Performance Gains in Image Dehazing Networks paper on the SOTS Outdoor dataset? | PSNR, SSIM |
What metrics were used to measure the DEA-Net-CR model in the DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention paper on the SOTS Outdoor dataset? | PSNR, SSIM |
What metrics were used to measure the MixDehazeNet model in the MixDehazeNet : Mix Structure Block For Image Dehazing Network paper on the SOTS Outdoor dataset? | PSNR, SSIM |
What metrics were used to measure the DehazeFormer-B model in the Vision Transformers for Single Image Dehazing paper on the SOTS Outdoor dataset? | PSNR, SSIM |
What metrics were used to measure the MAXIM-2S model in the MAXIM: Multi-Axis MLP for Image Processing paper on the SOTS Outdoor dataset? | PSNR, SSIM |
What metrics were used to measure the FFA-Net model in the FFA-Net: Feature Fusion Attention Network for Single Image Dehazing paper on the SOTS Outdoor dataset? | PSNR, SSIM |
What metrics were used to measure the U2-Former model in the U2-Former: A Nested U-shaped Transformer for Image Restoration paper on the SOTS Outdoor dataset? | PSNR, SSIM |
What metrics were used to measure the GridDehazeNet model in the GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing paper on the SOTS Outdoor dataset? | PSNR, SSIM |
What metrics were used to measure the GMAN model in the Generic Model-Agnostic Convolutional Neural Network for Single Image Dehazing paper on the SOTS Outdoor dataset? | PSNR, SSIM |
What metrics were used to measure the Uformer model in the Uformer: A General U-Shaped Transformer for Image Restoration paper on the SOTS Outdoor dataset? | PSNR, SSIM |
What metrics were used to measure the AOD-Net model in the AOD-Net: All-In-One Dehazing Network paper on the SOTS Outdoor dataset? | PSNR, SSIM |
What metrics were used to measure the Deep DCP model in the Unsupervised Single Image Dehazing Using Dark Channel Prior Loss paper on the SOTS Outdoor dataset? | PSNR, SSIM |
What metrics were used to measure the Deep Energy (Network) model in the Deep-Energy: Unsupervised Training of Deep Neural Networks paper on the SOTS Outdoor dataset? | PSNR, SSIM |
What metrics were used to measure the GFN model in the Gated Fusion Network for Single Image Dehazing paper on the SOTS Outdoor dataset? | PSNR, SSIM |
What metrics were used to measure the IF-Net model in the IF-Net: An Illumination-invariant Feature Network paper on the HPatches dataset? | 0..5sec |
What metrics were used to measure the dlpalign_cnn_bilstm model in the DLPAlign: A Deep Learning based Progressive Alignment Method for Multiple Protein Sequences paper on the OXBench dataset? | Total Column Score |
What metrics were used to measure the dlpalign_cnn_bilstm model in the DLPAlign: A Deep Learning based Progressive Alignment Method for Multiple Protein Sequences paper on the SABMark v1.65 dataset? | Total Column Score |
What metrics were used to measure the dlpalign_cnn_bilstm model in the DLPAlign: A Deep Learning based Progressive Alignment Method for Multiple Protein Sequences paper on the BAliBASE v3 dataset? | Total Column Score |
What metrics were used to measure the mT0-13B model in the Crosslingual Generalization through Multitask Finetuning paper on the XWinograd EN dataset? | Accuracy |
What metrics were used to measure the BLOOMZ model in the Crosslingual Generalization through Multitask Finetuning paper on the XWinograd EN dataset? | Accuracy |
What metrics were used to measure the seq2seq model in the Coreference Resolution through a seq2seq Transition-Based System paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the ASP+T0-3B model in the Autoregressive Structured Prediction with Language Models paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the caw-coref + RoBERTa model in the CAW-coref: Conjunction-Aware Word-level Coreference Resolution paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the LingMess model in the LingMess: Linguistically Informed Multi Expert Scorers for Coreference Resolution paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the wl-coref + RoBERTa model in the Word-Level Coreference Resolution paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the U-MEM + Longformer model in the Efficient and Interpretable Neural Models for Entity Tracking paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the G2GT SpanBERT-large reduced model in the Graph Refinement for Coreference Resolution paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the G2GT SpanBERT-large overlap model in the Graph Refinement for Coreference Resolution paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the SpanBERT model in the SpanBERT: Improving Pre-training by Representing and Predicting Spans paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the U-MEM* + SpanBERT model in the Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the longdoc joint training model in the On Generalization in Coreference Resolution paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the BERT-large model in the BERT for Coreference Resolution: Baselines and Analysis paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the BERT + EE model in the Coreference Resolution with Entity Equalization paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the BERT-base model in the BERT for Coreference Resolution: Baselines and Analysis paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the Reinforced + ELMo model in the End-to-end Deep Reinforcement Learning Based Coreference Resolution paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the c2f-coref model in the Higher-order Coreference Resolution with Coarse-to-fine Inference paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the e2e-coref + ELMo + hyperparameter tuning model in the Higher-order Coreference Resolution with Coarse-to-fine Inference paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the e2e-coref + ELMo model in the Deep contextualized word representations paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the E2E-CR + ASL model in the Learning Word Representations with Cross-Sentence Dependency for End-to-End Co-reference Resolution paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the e2e-coref model in the End-to-end Neural Coreference Resolution paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the Reward Rescaling model in the Deep Reinforcement Learning for Mention-Ranking Coreference Models paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the NN Cluster Ranker model in the Improving Coreference Resolution by Learning Entity-Level Distributed Representations paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the Global model in the Learning Global Features for Coreference Resolution paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the MTL-coref model in the Incorporating Singletons and Mention-based Features in Coreference Resolution via Multi-task Learning for Better Generalization paper on the OntoGUM dataset? | Avg F1 |
What metrics were used to measure the SpanBERT model in the OntoGUM: Evaluating Contextualized SOTA Coreference Resolution on 12 More Genres paper on the OntoGUM dataset? | Avg F1 |
What metrics were used to measure the longdoc joint training model in the On Generalization in Coreference Resolution paper on the Quizbowl dataset? | F1 |
What metrics were used to measure the longdoc joint training model in the On Generalization in Coreference Resolution paper on the LitBank dataset? | F1 |
What metrics were used to measure the Joint model in the DWIE: an entity-centric dataset for multi-task document-level information extraction paper on the DWIE dataset? | Avg. F1 |
What metrics were used to measure the KB-both model in the Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference Resolution paper on the DWIE dataset? | Avg. F1 |
What metrics were used to measure the Flan-T5 XXL (Zero Shot) model in the Scaling Instruction-Finetuned Language Models paper on the WSC dataset? | Accuracy |
What metrics were used to measure the PaLM 540B model in the PaLM: Scaling Language Modeling with Pathways paper on the WSC dataset? | Accuracy |
What metrics were used to measure the PaLM 2-M (one-shot) model in the PaLM 2 Technical Report paper on the WSC dataset? | Accuracy |
What metrics were used to measure the PaLM 2-L (one-shot) model in the PaLM 2 Technical Report paper on the WSC dataset? | Accuracy |
What metrics were used to measure the PaLM 2-S (one-shot) model in the PaLM 2 Technical Report paper on the WSC 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 WSC dataset? | Accuracy |
What metrics were used to measure the Neo-6B (QA + WS) model in the Ask Me Anything: A simple strategy for prompting language models paper on the WSC dataset? | Accuracy |
What metrics were used to measure the Neo-6B (QA) model in the Ask Me Anything: A simple strategy for prompting language models paper on the WSC dataset? | Accuracy |
What metrics were used to measure the N-Grammer model in the N-Grammer: Augmenting Transformers with latent n-grams paper on the WSC dataset? | Accuracy |
What metrics were used to measure the AlexaTM 20B model in the AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model paper on the WSC dataset? | Accuracy |
What metrics were used to measure the longdoc joint training model in the On Generalization in Coreference Resolution paper on the WSC dataset? | Accuracy |
What metrics were used to measure the Neo-6B (few-shot) model in the Ask Me Anything: A simple strategy for prompting language models paper on the WSC dataset? | Accuracy |
What metrics were used to measure the BFCR + SpanBERT + Transfer Learning model in the Coreference Resolution in Research Papers from Multiple Domains paper on the STM-coref dataset? | CoNLL F1 |
What metrics were used to measure the BFCR + SpanBERT model in the Coreference Resolution in Research Papers from Multiple Domains paper on the STM-coref dataset? | CoNLL F1 |
What metrics were used to measure the longdoc joint training model in the On Generalization in Coreference Resolution paper on the PreCo dataset? | F1 |
What metrics were used to measure the seq2seq model in the Coreference Resolution through a seq2seq Transition-Based System paper on the CoNLL 2012 dataset? | Avg F1 |
What metrics were used to measure the CorefQA + SpanBERT-large model in the CorefQA: Coreference Resolution as Query-based Span Prediction paper on the CoNLL 2012 dataset? | Avg F1 |
What metrics were used to measure the ASP+T0-3B model in the Autoregressive Structured Prediction with Language Models paper on the CoNLL 2012 dataset? | Avg F1 |
What metrics were used to measure the wl-coref + RoBERTa model in the Word-Level Coreference Resolution paper on the CoNLL 2012 dataset? | Avg F1 |
What metrics were used to measure the s2e + Longformer-Large model in the Coreference Resolution without Span Representations paper on the CoNLL 2012 dataset? | Avg F1 |
What metrics were used to measure the SpanBERT + Cluster Merging model in the Revealing the Myth of Higher-Order Inference in Coreference Resolution paper on the CoNLL 2012 dataset? | Avg F1 |
What metrics were used to measure the c2f + SpanBERT-Large model in the Coreference Resolution without Span Representations paper on the CoNLL 2012 dataset? | Avg F1 |
What metrics were used to measure the CorefQA + SpanBERT-base model in the CorefQA: Coreference Resolution as Query-based Span Prediction paper on the CoNLL 2012 dataset? | Avg F1 |
What metrics were used to measure the U-MEM* + SpanBERT-large model in the Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks paper on the CoNLL 2012 dataset? | Avg F1 |
What metrics were used to measure the c2f-coref + BERT-large model in the BERT for Coreference Resolution: Baselines and Analysis paper on the CoNLL 2012 dataset? | Avg F1 |
What metrics were used to measure the EE + BERT-large model in the Coreference Resolution with Entity Equalization paper on the CoNLL 2012 dataset? | Avg F1 |
What metrics were used to measure the dali-full-anaphora model in the A Cluster Ranking Model for Full Anaphora Resolution paper on the CoNLL 2012 dataset? | Avg F1 |
What metrics were used to measure the reinforced model + ELMO model in the End-to-end Deep Reinforcement Learning Based Coreference Resolution paper on the CoNLL 2012 dataset? | Avg F1 |
What metrics were used to measure the c2f-coref + ELMo model in the Higher-order Coreference Resolution with Coarse-to-fine Inference paper on the CoNLL 2012 dataset? | Avg F1 |
What metrics were used to measure the e2e-coref + ELMo model in the End-to-end Neural Coreference Resolution paper on the CoNLL 2012 dataset? | Avg F1 |
What metrics were used to measure the e2e-coref (ensemble) model in the End-to-end Neural Coreference Resolution paper on the CoNLL 2012 dataset? | Avg F1 |
What metrics were used to measure the e2e-coref (single) model in the End-to-end Neural Coreference Resolution paper on the CoNLL 2012 dataset? | Avg F1 |
What metrics were used to measure the mT0-13B model in the Crosslingual Generalization through Multitask Finetuning paper on the XWinograd FR dataset? | Accuracy |
What metrics were used to measure the BLOOMZ model in the Crosslingual Generalization through Multitask Finetuning paper on the XWinograd FR dataset? | Accuracy |
What metrics were used to measure the ProBERT model in the Gendered Ambiguous Pronouns Shared Task: Boosting Model Confidence by Evidence Pooling paper on the GAP dataset? | Overall F1, Masculine F1 (M), Feminine F1 (F), Bias (F/M), F1 |
What metrics were used to measure the Full Ensemble model in the Gendered Pronoun Resolution using BERT and an extractive question answering formulation paper on the GAP dataset? | Overall F1, Masculine F1 (M), Feminine F1 (F), Bias (F/M), F1 |
What metrics were used to measure the PeTra model in the PeTra: A Sparsely Supervised Memory Model for People Tracking paper on the GAP dataset? | Overall F1, Masculine F1 (M), Feminine F1 (F), Bias (F/M), F1 |
What metrics were used to measure the dali-full-anaphora model in the A Cluster Ranking Model for Full Anaphora Resolution paper on the The ARRAU Corpus dataset? | Avg F1 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.