prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the Duet v2 model in the An Updated Duet Model for Passage Re-ranking paper on the MS MARCO dataset? | MRR |
What metrics were used to measure the BERT + Doc2query model in the Document Expansion by Query Prediction paper on the TREC-PM dataset? | mAP |
What metrics were used to measure the Context Based Model model in the Context Based Approach for Second Language Acquisition paper on the SLAM 2018 dataset? | AUC |
What metrics were used to measure the DSN model in the On Deep Learning Techniques to Boost Monocular Depth Estimation for Autonomous Navigation paper on the KITTI Depth Completion Eigen Split dataset? | REL, RMSE |
What metrics were used to measure the DM-LRN-b4 model in the Decoder Modulation for Indoor Depth Completion paper on the Matterport3D dataset? | RMSE |
What metrics were used to measure the SA+SSIM+BC model in the Indoor Depth Completion with Boundary Consistency and Self-Attention paper on the Matterport3D dataset? | RMSE |
What metrics were used to measure the SemAttNet model in the SemAttNet: Towards Attention-based Semantic Aware Guided Depth Completion paper on the KITTI Depth Completion dataset? | RMSE, MAE, iRMSE, iMAE, Runtime [ms] |
What metrics were used to measure the RigNet model in the RigNet: Repetitive Image Guided Network for Depth Completion paper on the KITTI Depth Completion dataset? | RMSE, MAE, iRMSE, iMAE, Runtime [ms] |
What metrics were used to measure the PENet model in the PENet: Towards Precise and Efficient Image Guided Depth Completion paper on the KITTI Depth Completion dataset? | RMSE, MAE, iRMSE, iMAE, Runtime [ms] |
What metrics were used to measure the NLSPN model in the Non-Local Spatial Propagation Network for Depth Completion paper on the KITTI Depth Completion dataset? | RMSE, MAE, iRMSE, iMAE, Runtime [ms] |
What metrics were used to measure the FusionNet (RGB_guide&certainty) model in the Sparse and noisy LiDAR completion with RGB guidance and uncertainty paper on the KITTI Depth Completion dataset? | RMSE, MAE, iRMSE, iMAE, Runtime [ms] |
What metrics were used to measure the DVMN model in the DVMN: Dense Validity Mask Network for Depth Completion paper on the KITTI Depth Completion dataset? | RMSE, MAE, iRMSE, iMAE, Runtime [ms] |
What metrics were used to measure the NConv-CNN-L2 model in the Confidence Propagation through CNNs for Guided Sparse Depth Regression paper on the KITTI Depth Completion dataset? | RMSE, MAE, iRMSE, iMAE, Runtime [ms] |
What metrics were used to measure the NConv-CNN-L1 model in the Confidence Propagation through CNNs for Guided Sparse Depth Regression paper on the KITTI Depth Completion dataset? | RMSE, MAE, iRMSE, iMAE, Runtime [ms] |
What metrics were used to measure the Spade-RGBsD model in the Sparse and Dense Data with CNNs: Depth Completion and Semantic Segmentation paper on the KITTI Depth Completion dataset? | RMSE, MAE, iRMSE, iMAE, Runtime [ms] |
What metrics were used to measure the HMS-Net model in the HMS-Net: Hierarchical Multi-scale Sparsity-invariant Network for Sparse Depth Completion paper on the KITTI Depth Completion dataset? | RMSE, MAE, iRMSE, iMAE, Runtime [ms] |
What metrics were used to measure the Spade-sD model in the Sparse and Dense Data with CNNs: Depth Completion and Semantic Segmentation paper on the KITTI Depth Completion dataset? | RMSE, MAE, iRMSE, iMAE, Runtime [ms] |
What metrics were used to measure the KBNet model in the Unsupervised Depth Completion with Calibrated Backprojection Layers paper on the KITTI Depth Completion dataset? | RMSE, MAE, iRMSE, iMAE, Runtime [ms] |
What metrics were used to measure the ScaffNet-FusionNet model in the Learning Topology from Synthetic Data for Unsupervised Depth Completion paper on the KITTI Depth Completion dataset? | RMSE, MAE, iRMSE, iMAE, Runtime [ms] |
What metrics were used to measure the VOICED model in the Unsupervised Depth Completion from Visual Inertial Odometry paper on the KITTI Depth Completion dataset? | RMSE, MAE, iRMSE, iMAE, Runtime [ms] |
What metrics were used to measure the NConv-CNN model in the Confidence Propagation through CNNs for Guided Sparse Depth Regression paper on the KITTI Depth Completion dataset? | RMSE, MAE, iRMSE, iMAE, Runtime [ms] |
What metrics were used to measure the SparseConvs model in the Sparsity Invariant CNNs paper on the KITTI Depth Completion dataset? | RMSE, MAE, iRMSE, iMAE, Runtime [ms] |
What metrics were used to measure the FusionDepth model in the Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR paper on the KITTI dataset? | RMSE |
What metrics were used to measure the NLSPN model in the Non-Local Spatial Propagation Network for Depth Completion paper on the VOID dataset? | MAE, RMSE, iMAE, iRMSE |
What metrics were used to measure the KBNet model in the Unsupervised Depth Completion with Calibrated Backprojection Layers paper on the VOID dataset? | MAE, RMSE, iMAE, iRMSE |
What metrics were used to measure the ScaffNet-FusionNet model in the Learning Topology from Synthetic Data for Unsupervised Depth Completion paper on the VOID dataset? | MAE, RMSE, iMAE, iRMSE |
What metrics were used to measure the VOICED model in the Unsupervised Depth Completion from Visual Inertial Odometry paper on the VOID dataset? | MAE, RMSE, iMAE, iRMSE |
What metrics were used to measure the DDP model in the Dense Depth Posterior (DDP) from Single Image and Sparse Range paper on the VOID dataset? | MAE, RMSE, iMAE, iRMSE |
What metrics were used to measure the SS-S2D model in the Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera paper on the VOID dataset? | MAE, RMSE, iMAE, iRMSE |
What metrics were used to measure the CFCNet model in the Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion paper on the KITTI Depth Completion 500 points dataset? | RMSE |
What metrics were used to measure the Struct-MDC model in the Struct-MDC: Mesh-Refined Unsupervised Depth Completion Leveraging Structural Regularities from Visual SLAM paper on the VOID-150 dataset? | MAE, RMSE |
What metrics were used to measure the NLSPN model in the Non-Local Spatial Propagation Network for Depth Completion paper on the NYU-Depth V2 dataset? | RMSE, REL |
What metrics were used to measure the DSN model in the On Deep Learning Techniques to Boost Monocular Depth Estimation for Autonomous Navigation paper on the NYU-Depth V2 dataset? | RMSE, REL |
What metrics were used to measure the Struct-MDC model in the Struct-MDC: Mesh-Refined Unsupervised Depth Completion Leveraging Structural Regularities from Visual SLAM paper on the NYU-Depth V2 dataset? | RMSE, REL |
What metrics were used to measure the Struct-MDC model in the Struct-MDC: Mesh-Refined Unsupervised Depth Completion Leveraging Structural Regularities from Visual SLAM paper on the PLAD dataset? | MAE, RMSE |
What metrics were used to measure the Ancient historian and Ithaca model in the Restoring and attributing ancient texts using deep neural networks paper on the I.PHI dataset? | CER (%), Top 1 (%), Top 20 (%), Region (Top 1 (%)), Region (Top 3 (%)), Date (Years) |
What metrics were used to measure the Ithaca model in the Restoring and attributing ancient texts using deep neural networks paper on the I.PHI dataset? | CER (%), Top 1 (%), Top 20 (%), Region (Top 1 (%)), Region (Top 3 (%)), Date (Years) |
What metrics were used to measure the Pythia model in the Restoring and attributing ancient texts using deep neural networks paper on the I.PHI dataset? | CER (%), Top 1 (%), Top 20 (%), Region (Top 1 (%)), Region (Top 3 (%)), Date (Years) |
What metrics were used to measure the Ancient historian model in the Restoring and attributing ancient texts using deep neural networks paper on the I.PHI dataset? | CER (%), Top 1 (%), Top 20 (%), Region (Top 1 (%)), Region (Top 3 (%)), Date (Years) |
What metrics were used to measure the Onomastics model in the Restoring and attributing ancient texts using deep neural networks paper on the I.PHI dataset? | CER (%), Top 1 (%), Top 20 (%), Region (Top 1 (%)), Region (Top 3 (%)), Date (Years) |
What metrics were used to measure the Semantic Genesis model in the Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration paper on the LUNA2016 FPRED dataset? | AUC |
What metrics were used to measure the ModelGenesis model in the Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis paper on the LUNA2016 FPRED dataset? | AUC |
What metrics were used to measure the I3DR-Net model in the Lung nodule detection and classification from Thorax CT-scan using RetinaNet with transfer learning paper on the LIDC-IDRI dataset? | AUC, mean average precision, Sensitivity |
What metrics were used to measure the RGRG model in the Interactive and Explainable Region-guided Radiology Report Generation paper on the MIMIC-CXR dataset? | BLEU-1, BLEU-2, BLEU-3, BLEU-4, CIDEr, Example-F1-14, Example-Precision-14, Example-Recall-14, METEOR, Micro-F1-5, Micro-Precision-5, Micro-Recall-5, ROUGE-L |
What metrics were used to measure the InstructABSA model in the InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the LSA+DeBERTa-V3-Large model in the Improving Implicit Sentiment Learning via Local Sentiment Aggregation paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the LCF-ATEPC model in the A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term Extraction paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the DPL-BERT model in the Towards Unifying the Label Space for Aspect- and Sentence-based Sentiment Analysis paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the RoBERTa+MLP model in the Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the KaGRMN-DSG model in the Understand me, if you refer to Aspect Knowledge: Knowledge-aware Gated Recurrent Memory Network paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the BERT-ADA model in the Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the RGAT+ model in the Investigating Typed Syntactic Dependencies for Targeted Sentiment Classification Using Graph Attention Neural Network paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the PH-SUM model in the Improving BERT Performance for Aspect-Based Sentiment Analysis paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the BAT model in the Adversarial Training for Aspect-Based Sentiment Analysis with BERT paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the SDGCN-BERT model in the Modeling Sentiment Dependencies with Graph Convolutional Networks for Aspect-level Sentiment Classification paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the BERT-SPC model in the Attentional Encoder Network for Targeted Sentiment Classification paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the AEN-BERT model in the Attentional Encoder Network for Targeted Sentiment Classification paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the BERT-PT model in the BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the MCRF-SA model in the Aspect Based Sentiment Analysis with Aspect-Specific Opinion Spans paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the HAPN model in the Hierarchical Attention Based Position-Aware Network for Aspect-Level Sentiment Analysis paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the IMN model in the An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the TNet-ATT(+AS) model in the Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the MGAN model in the Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the TNet-LF model in the Transformation Networks for Target-Oriented Sentiment Classification paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the SA-LSTM-P model in the Learning Latent Opinions for Aspect-Level Sentiment Classification paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the MGAN model in the Multi-grained Attention Network for Aspect-Level Sentiment Classification paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the LCR-Rot model in the Left-Center-Right Separated Neural Network for Aspect-based Sentiment Analysis with Rotatory Attention paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the BILSTM-ATT-G (TSSVAE) model in the Variational Semi-supervised Aspect-term Sentiment Analysis via Transformer paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the BBLSTM-SL model in the Aspect-Based Sentiment Analysis Using Bitmask Bidirectional Long Short Term Memory Networks paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the AOA model in the Aspect Level Sentiment Classification with Attention-over-Attention Neural Networks paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the PBAN model in the A Position-aware Bidirectional Attention Network for Aspect-level Sentiment Analysis paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the RAM model in the Recurrent Attention Network on Memory for Aspect Sentiment Analysis paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the AEN-GloVe model in the Attentional Encoder Network for Targeted Sentiment Classification paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the IARM model in the IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the MemNet model in the Aspect Level Sentiment Classification with Deep Memory Network paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the LSTM+SynATT+TarRep model in the Effective Attention Modeling for Aspect-Level Sentiment Classification paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the IAN model in the Interactive Attention Networks for Aspect-Level Sentiment Classification paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the JCI (hops) model in the Target-Sensitive Memory Networks for Aspect Sentiment Classification paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the PRET+MULT model in the Exploiting Document Knowledge for Aspect-level Sentiment Classification paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the PF-CNN model in the Parameterized Convolutional Neural Networks for Aspect Level Sentiment Classification paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the NP (hops) model in the Target-Sensitive Memory Networks for Aspect Sentiment Classification paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the GCAE model in the Aspect Based Sentiment Analysis with Gated Convolutional Networks paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the ATAE-LSTM model in the Attention-based LSTM for Aspect-level Sentiment Classification paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the TD-LSTM model in the Effective LSTMs for Target-Dependent Sentiment Classification paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the BERT-IL Finetuned model in the Does BERT Understand Sentiment? Leveraging Comparisons Between Contextual and Non-Contextual Embeddings to Improve Aspect-Based Sentiment Models paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the ATLX-Ent model in the Attention and Lexicon Regularized LSTM for Aspect-based Sentiment Analysis paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the ATLX model in the Attention and Lexicon Regularized LSTM for Aspect-based Sentiment Analysis paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the TNet model in the Transformation Networks for Target-Oriented Sentiment Classification paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the ABSA-DeBERTa model in the Aspect-based Sentiment Analysis using BERT with Disentangled Attention paper on the SemEval 2014 Task 4 Sub Task 2 dataset? | Mean Acc (Restaurant + Laptop), Restaurant (Acc), Laptop (Acc) |
What metrics were used to measure the HGCN model in the Learn from Structural Scope: Improving Aspect-Level Sentiment Analysis with Hybrid Graph Convolutional Networks paper on the Rest16 dataset? | Acc |
What metrics were used to measure the MvP (multi-task) model in the MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction paper on the ASQP dataset? | F1 (R15), F1 (R16) |
What metrics were used to measure the MvP model in the MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction paper on the ASQP dataset? | F1 (R15), F1 (R16) |
What metrics were used to measure the AugABSA model in the Generative Data Augmentation for Aspect Sentiment Quad Prediction paper on the ASQP dataset? | F1 (R15), F1 (R16) |
What metrics were used to measure the DLO model in the Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentation paper on the ASQP dataset? | F1 (R15), F1 (R16) |
What metrics were used to measure the Paraphrase model in the Aspect Sentiment Quad Prediction as Paraphrase Generation paper on the ASQP dataset? | F1 (R15), F1 (R16) |
What metrics were used to measure the LEGO-ABSA (multi-task) model in the LEGO-ABSA: A Prompt-based Task Assemblable Unified Generative Framework for Multi-task Aspect-based Sentiment Analysis paper on the ASQP dataset? | F1 (R15), F1 (R16) |
What metrics were used to measure the GAS model in the Towards Generative Aspect-Based Sentiment Analysis paper on the ASQP dataset? | F1 (R15), F1 (R16) |
What metrics were used to measure the TAS-BRET model in the Aspect Sentiment Quad Prediction as Paraphrase Generation paper on the ASQP dataset? | F1 (R15), F1 (R16) |
What metrics were used to measure the ChatGPT (gpt-3.5-turbo, few-shot) model in the MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction paper on the ASQP dataset? | F1 (R15), F1 (R16) |
What metrics were used to measure the ChatGPT (gpt-3.5-turbo, zero-shot) model in the MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction paper on the ASQP dataset? | F1 (R15), F1 (R16) |
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