prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the PoseMinkLoc model in the LiDAR-based localization using universal encoding and memory-aware regression paper on the Oxford Radar RobotCar (Full-6) dataset? | Mean Translation Error |
What metrics were used to measure the MS-Transformer model in the Learning Multi-Scene Absolute Pose Regression with Transformers paper on the Oxford Radar RobotCar (Full-6) dataset? | Mean Translation Error |
What metrics were used to measure the PosePN model in the LiDAR-based localization using universal encoding and memory-aware regression paper on the Oxford Radar RobotCar (Full-6) dataset? | Mean Translation Error |
What metrics were used to measure the AtLoc+ model in the AtLoc: Attention Guided Camera Localization paper on the Oxford Radar RobotCar (Full-6) dataset? | Mean Translation Error |
What metrics were used to measure the AD-MapNet model in the Prior Guided Dropout for Robust Visual Localization in Dynamic Environments paper on the Oxford Radar RobotCar (Full-6) dataset? | Mean Translation Error |
What metrics were used to measure the DCP model in the Deep Closest Point: Learning Representations for Point Cloud Registration paper on the Oxford Radar RobotCar (Full-6) dataset? | Mean Translation Error |
What metrics were used to measure the PointNetVLAD model in the PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition paper on the Oxford Radar RobotCar (Full-6) dataset? | Mean Translation Error |
What metrics were used to measure the MapNet model in the Geometry-Aware Learning of Maps for Camera Localization paper on the Oxford Radar RobotCar (Full-6) dataset? | Mean Translation Error |
What metrics were used to measure the SCFeat model in the Shared Coupling-bridge for Weakly Supervised Local Feature Learning paper on the Aachen Day-Night v1.1 Benchmark dataset? | Acc@0.25m, 2°, Acc@0.5m, 5°, Acc@5m, 10° |
What metrics were used to measure the Patch-NetVLAD model in the Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition paper on the Extended CMU Seasons dataset? | Acc @ .25m, 2°, Acc @ .5m, 5°, Acc @ 5m, 10° |
What metrics were used to measure the Patch-NetVLAD model in the Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition paper on the RobotCar Seasons v2 dataset? | Acc @ .25m, 2°, Acc @ .5m, 5°, Acc @ 5m, 10° |
What metrics were used to measure the RobustLoc model in the RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments paper on the Oxford RobotCar Full dataset? | Mean Translation Error |
What metrics were used to measure the AtLoc+ model in the AtLoc: Attention Guided Camera Localization paper on the Oxford RobotCar Full dataset? | Mean Translation Error |
What metrics were used to measure the CoordiNet model in the CoordiNet: uncertainty-aware pose regressor for reliable vehicle localization paper on the Oxford RobotCar Full dataset? | Mean Translation Error |
What metrics were used to measure the GNNMapNet model in the Learning Multi-View Camera Relocalization With Graph Neural Networks paper on the Oxford RobotCar Full dataset? | Mean Translation Error |
What metrics were used to measure the MapNet++ model in the Geometry-Aware Learning of Maps for Camera Localization paper on the Oxford RobotCar Full dataset? | Mean Translation Error |
What metrics were used to measure the AtLoc model in the AtLoc: Attention Guided Camera Localization paper on the Oxford RobotCar Full dataset? | Mean Translation Error |
What metrics were used to measure the MoNoise model in the MoNoise: Modeling Noise Using a Modular Normalization System paper on the LexNorm dataset? | Accuracy |
What metrics were used to measure the Syllable based model in the Tweet Normalization with Syllables paper on the LexNorm dataset? | Accuracy |
What metrics were used to measure the TextNorm model in the Adapting Sequence to Sequence models for Text Normalization in Social Media paper on the LexNorm dataset? | Accuracy |
What metrics were used to measure the unLOL model in the A Log-Linear Model for Unsupervised Text Normalization paper on the LexNorm dataset? | Accuracy |
What metrics were used to measure the Ours (High-Order model) model in the End-to-end Semantic Role Labeling with Neural Transition-based Model paper on the CoNLL-2009 dataset? | F1 (Arg.), F1 (Prd.) |
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 CoNLL05 Brown dataset? | F1 |
What metrics were used to measure the DeepStruct multi-task model in the DeepStruct: Pretraining of Language Models for Structure Prediction paper on the CoNLL05 Brown dataset? | F1 |
What metrics were used to measure the DeepStruct multi-task model in the DeepStruct: Pretraining of Language Models for Structure Prediction paper on the CoNLL05 WSJ dataset? | F1 |
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 CoNLL05 WSJ dataset? | F1 |
What metrics were used to measure the HeSyFu model in the Better Combine Them Together! Integrating Syntactic Constituency and Dependency Representations for Semantic Role Labeling paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the CRF2o + RoBERTa model in the Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the MRC-SRL model in the An MRC Framework for Semantic Role Labeling paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the SRL-MM + XLNet model in the Syntax-driven Approach for Semantic Role Labeling paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the CRF2o + BERT model in the Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the RoBERTa+RegCCRF model in the Constraining Linear-chain CRFs to Regular Languages paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the RoBERTa+CRF model in the Constraining Linear-chain CRFs to Regular Languages paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the BiLSTM-Span (Ensemble) model in the A Span Selection Model for Semantic Role Labeling paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the BiLSTM-Span model in the A Span Selection Model for Semantic Role Labeling paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the Li et al. model in the Dependency or Span, End-to-End Uniform Semantic Role Labeling paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the He et al., model in the Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the He et al., 2017 + ELMo model in the Deep contextualized word representations paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the CRF2o model in the Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the Tan et al. model in the Deep Semantic Role Labeling with Self-Attention paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the He et al. model in the Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the He et al. model in the Deep Semantic Role Labeling: What Works and What's Next paper on the OntoNotes dataset? | F1 |
What metrics were used to measure the MRC-SRL model in the An MRC Framework for Semantic Role Labeling paper on the CoNLL 2005 dataset? | F1 |
What metrics were used to measure the SRL-MM + XLNet model in the Syntax-driven Approach for Semantic Role Labeling paper on the CoNLL 2005 dataset? | F1 |
What metrics were used to measure the CRF2o + RoBERTa model in the Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments paper on the CoNLL 2005 dataset? | F1 |
What metrics were used to measure the HeSyFu model in the Better Combine Them Together! Integrating Syntactic Constituency and Dependency Representations for Semantic Role Labeling paper on the CoNLL 2005 dataset? | F1 |
What metrics were used to measure the CRF2o + BERT model in the Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments paper on the CoNLL 2005 dataset? | F1 |
What metrics were used to measure the Mohammadshahi and Henderson (2021) model in the Syntax-Aware Graph-to-Graph Transformer for Semantic Role Labelling paper on the CoNLL 2005 dataset? | F1 |
What metrics were used to measure the BiLSTM-Span (Ensemble, predicates given) model in the A Span Selection Model for Semantic Role Labeling paper on the CoNLL 2005 dataset? | F1 |
What metrics were used to measure the CRF2o model in the Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments paper on the CoNLL 2005 dataset? | F1 |
What metrics were used to measure the Li et al. (2019) (Ensemble) model in the Dependency or Span, End-to-End Uniform Semantic Role Labeling paper on the CoNLL 2005 dataset? | F1 |
What metrics were used to measure the BiLSTM-Span model in the A Span Selection Model for Semantic Role Labeling paper on the CoNLL 2005 dataset? | F1 |
What metrics were used to measure the Li et al. (2019) + ELMo model in the Dependency or Span, End-to-End Uniform Semantic Role Labeling paper on the CoNLL 2005 dataset? | F1 |
What metrics were used to measure the LISA model in the Linguistically-Informed Self-Attention for Semantic Role Labeling paper on the CoNLL 2005 dataset? | F1 |
What metrics were used to measure the He et al. (2018) + ELMo model in the Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling paper on the CoNLL 2005 dataset? | F1 |
What metrics were used to measure the Li et al. (2019) model in the Dependency or Span, End-to-End Uniform Semantic Role Labeling paper on the CoNLL 2005 dataset? | F1 |
What metrics were used to measure the He et al. (2018) model in the Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling paper on the CoNLL 2005 dataset? | F1 |
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? | F1 |
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? | F1 |
What metrics were used to measure the HeSyFu model in the Better Combine Them Together! Integrating Syntactic Constituency and Dependency Representations for Semantic Role Labeling paper on the CoNLL 2012 dataset? | Avg. F1 |
What metrics were used to measure the ST5-XXL model in the MTEB: Massive Text Embedding Benchmark paper on the MTEB dataset? | Spearman Correlation |
What metrics were used to measure the ST5-Large model in the MTEB: Massive Text Embedding Benchmark paper on the MTEB dataset? | Spearman Correlation |
What metrics were used to measure the ST5-XL model in the MTEB: Massive Text Embedding Benchmark paper on the MTEB dataset? | Spearman Correlation |
What metrics were used to measure the ST5-Base model in the MTEB: Massive Text Embedding Benchmark paper on the MTEB dataset? | Spearman Correlation |
What metrics were used to measure the MPNet-multilingual model in the MTEB: Massive Text Embedding Benchmark paper on the MTEB dataset? | Spearman Correlation |
What metrics were used to measure the SGPT-5.8B-nli model in the MTEB: Massive Text Embedding Benchmark paper on the MTEB dataset? | Spearman Correlation |
What metrics were used to measure the MPNet model in the MTEB: Massive Text Embedding Benchmark paper on the MTEB dataset? | Spearman Correlation |
What metrics were used to measure the MiniLM-L12 model in the MTEB: Massive Text Embedding Benchmark paper on the MTEB dataset? | Spearman Correlation |
What metrics were used to measure the SimCSE-BERT-sup model in the MTEB: Massive Text Embedding Benchmark paper on the MTEB dataset? | Spearman Correlation |
What metrics were used to measure the MiniLM-L6 model in the MTEB: Massive Text Embedding Benchmark paper on the MTEB dataset? | Spearman Correlation |
What metrics were used to measure the Ada Similarity model in the MTEB: Massive Text Embedding Benchmark paper on the MTEB dataset? | Spearman Correlation |
What metrics were used to measure the GTR-XXL model in the MTEB: Massive Text Embedding Benchmark paper on the MTEB dataset? | Spearman Correlation |
What metrics were used to measure the GTR-Large model in the MTEB: Massive Text Embedding Benchmark paper on the MTEB dataset? | Spearman Correlation |
What metrics were used to measure the SGPT-5.8B-msmarco model in the MTEB: Massive Text Embedding Benchmark paper on the MTEB dataset? | Spearman Correlation |
What metrics were used to measure the GTR-XL model in the MTEB: Massive Text Embedding Benchmark paper on the MTEB dataset? | Spearman Correlation |
What metrics were used to measure the SGPT-BLOOM-7.1B-msmarco model in the MTEB: Massive Text Embedding Benchmark paper on the MTEB dataset? | Spearman Correlation |
What metrics were used to measure the GTR-Base model in the MTEB: Massive Text Embedding Benchmark paper on the MTEB dataset? | Spearman Correlation |
What metrics were used to measure the SGPT-2.7B-msmarco model in the MTEB: Massive Text Embedding Benchmark paper on the MTEB dataset? | Spearman Correlation |
What metrics were used to measure the coCondenser-msmarco model in the MTEB: Massive Text Embedding Benchmark paper on the MTEB dataset? | Spearman Correlation |
What metrics were used to measure the SGPT-1.3B-msmarco model in the MTEB: Massive Text Embedding Benchmark paper on the MTEB dataset? | Spearman Correlation |
What metrics were used to measure the SGPT-125M-nli model in the MTEB: Massive Text Embedding Benchmark paper on the MTEB dataset? | Spearman Correlation |
What metrics were used to measure the SimCSE-BERT-unsup model in the MTEB: Massive Text Embedding Benchmark paper on the MTEB dataset? | Spearman Correlation |
What metrics were used to measure the SGPT-125M-msmarco model in the MTEB: Massive Text Embedding Benchmark paper on the MTEB dataset? | Spearman Correlation |
What metrics were used to measure the LaBSE model in the MTEB: Massive Text Embedding Benchmark paper on the MTEB dataset? | Spearman Correlation |
What metrics were used to measure the Komninos model in the MTEB: Massive Text Embedding Benchmark paper on the MTEB dataset? | Spearman Correlation |
What metrics were used to measure the Glove model in the MTEB: Massive Text Embedding Benchmark paper on the MTEB dataset? | Spearman Correlation |
What metrics were used to measure the SPECTER model in the MTEB: Massive Text Embedding Benchmark paper on the MTEB dataset? | Spearman Correlation |
What metrics were used to measure the LASER2 model in the MTEB: Massive Text Embedding Benchmark paper on the MTEB dataset? | Spearman Correlation |
What metrics were used to measure the BERT model in the MTEB: Massive Text Embedding Benchmark paper on the MTEB dataset? | Spearman Correlation |
What metrics were used to measure the AnglE-LLaMA-13B model in the AnglE-optimized Text Embeddings paper on the STS15 dataset? | Spearman Correlation |
What metrics were used to measure the PromptEOL+CSE+LLaMA-30B model in the Scaling Sentence Embeddings with Large Language Models paper on the STS15 dataset? | Spearman Correlation |
What metrics were used to measure the AnglE-LLaMA-7B model in the AnglE-optimized Text Embeddings paper on the STS15 dataset? | Spearman Correlation |
What metrics were used to measure the PromptEOL+CSE+OPT-13B model in the Scaling Sentence Embeddings with Large Language Models paper on the STS15 dataset? | Spearman Correlation |
What metrics were used to measure the PromptEOL+CSE+OPT-2.7B model in the Scaling Sentence Embeddings with Large Language Models paper on the STS15 dataset? | Spearman Correlation |
What metrics were used to measure the AnglE-LLaMA-7B-v2 model in the AnglE-optimized Text Embeddings paper on the STS15 dataset? | Spearman Correlation |
What metrics were used to measure the Trans-Encoder-RoBERTa-large-cross (unsup.) model in the Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations paper on the STS15 dataset? | Spearman Correlation |
What metrics were used to measure the Trans-Encoder-BERT-large-bi (unsup.) model in the Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations paper on the STS15 dataset? | Spearman Correlation |
What metrics were used to measure the PromCSE-RoBERTa-large model in the Improved Universal Sentence Embeddings with Prompt-based Contrastive Learning and Energy-based Learning paper on the STS15 dataset? | Spearman Correlation |
What metrics were used to measure the SimCSE-RoBERTalarge model in the SimCSE: Simple Contrastive Learning of Sentence Embeddings paper on the STS15 dataset? | Spearman Correlation |
What metrics were used to measure the Trans-Encoder-RoBERTa-base-cross (unsup.) model in the Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations paper on the STS15 dataset? | Spearman Correlation |
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