prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the QuerySelector model in the Long-term series forecasting with Query Selector -- efficient model of sparse attention paper on the ETTh1 (720) Univariate dataset? | MSE, MAE |
What metrics were used to measure the Transformer model in the Long-term series forecasting with Query Selector -- efficient model of sparse attention paper on the ETTh1 (720) Univariate dataset? | MSE, MAE |
What metrics were used to measure the PatchMixer model in the PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting paper on the ETTh2 (96) Univariate dataset? | MSE, MAE |
What metrics were used to measure the SegRNN model in the SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting paper on the ETTh2 (96) Univariate dataset? | MSE, MAE |
What metrics were used to measure the FiLM model in the FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting paper on the ETTh2 (96) Univariate dataset? | MSE, MAE |
What metrics were used to measure the NLinear model in the Are Transformers Effective for Time Series Forecasting? paper on the ETTh2 (96) Univariate dataset? | MSE, MAE |
What metrics were used to measure the PatchTST/64 model in the A Time Series is Worth 64 Words: Long-term Forecasting with Transformers paper on the ETTh2 (96) Univariate dataset? | MSE, MAE |
What metrics were used to measure the DLinear model in the Are Transformers Effective for Time Series Forecasting? paper on the ETTh2 (96) Univariate dataset? | MSE, MAE |
What metrics were used to measure the PatchMixer model in the PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting paper on the ETTh2 (336) Multivariate dataset? | MSE, MAE |
What metrics were used to measure the SegRNN model in the SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting paper on the ETTh2 (336) Multivariate dataset? | MSE, MAE |
What metrics were used to measure the PatchTST/64 model in the A Time Series is Worth 64 Words: Long-term Forecasting with Transformers paper on the ETTh2 (336) Multivariate dataset? | MSE, MAE |
What metrics were used to measure the NLinear model in the Are Transformers Effective for Time Series Forecasting? paper on the ETTh2 (336) Multivariate dataset? | MSE, MAE |
What metrics were used to measure the TiDE model in the Long-term Forecasting with TiDE: Time-series Dense Encoder paper on the ETTh2 (336) Multivariate dataset? | MSE, MAE |
What metrics were used to measure the SCINet model in the SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction paper on the ETTh2 (336) Multivariate dataset? | MSE, MAE |
What metrics were used to measure the FiLM model in the FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting paper on the ETTh2 (336) Multivariate dataset? | MSE, MAE |
What metrics were used to measure the DLinear model in the Are Transformers Effective for Time Series Forecasting? paper on the ETTh2 (336) Multivariate dataset? | MSE, MAE |
What metrics were used to measure the Informer model in the Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting paper on the ETTh2 (336) Multivariate dataset? | MSE, MAE |
What metrics were used to measure the QuerySelector model in the Long-term series forecasting with Query Selector -- efficient model of sparse attention paper on the ETTh2 (336) Multivariate dataset? | MSE, MAE |
What metrics were used to measure the Transformer model in the Long-term series forecasting with Query Selector -- efficient model of sparse attention paper on the ETTh2 (336) Multivariate dataset? | MSE, MAE |
What metrics were used to measure the GA-LSTM model in the Genetic Algorithm-Optimized Long Short-Term Memory Network for Stock Market Prediction paper on the Korea Composite Stock Price Index dataset? | MAPE |
What metrics were used to measure the Informer model in the Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting paper on the ETTh2 (720) Univariate dataset? | MSE, MAE |
What metrics were used to measure the SegRNN model in the SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting paper on the ETTh2 (720) Univariate dataset? | MSE, MAE |
What metrics were used to measure the PatchMixer model in the PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting paper on the ETTh2 (720) Univariate dataset? | MSE, MAE |
What metrics were used to measure the PatchTST/64 model in the A Time Series is Worth 64 Words: Long-term Forecasting with Transformers paper on the ETTh2 (720) Univariate dataset? | MSE, MAE |
What metrics were used to measure the NLinear model in the Are Transformers Effective for Time Series Forecasting? paper on the ETTh2 (720) Univariate dataset? | MSE, MAE |
What metrics were used to measure the FiLM model in the FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting paper on the ETTh2 (720) Univariate dataset? | MSE, MAE |
What metrics were used to measure the QuerySelector model in the Long-term series forecasting with Query Selector -- efficient model of sparse attention paper on the ETTh2 (720) Univariate dataset? | MSE, MAE |
What metrics were used to measure the DLinear model in the Are Transformers Effective for Time Series Forecasting? paper on the ETTh2 (720) Univariate dataset? | MSE, MAE |
What metrics were used to measure the Transformer model in the Long-term series forecasting with Query Selector -- efficient model of sparse attention paper on the ETTh2 (720) Univariate dataset? | MSE, MAE |
What metrics were used to measure the SCINet model in the SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction paper on the ETTh2 (720) Univariate dataset? | MSE, MAE |
What metrics were used to measure the PGDPNet model in the Plane Geometry Diagram Parsing paper on the PGDP5K dataset? | Total Accuracy |
What metrics were used to measure the Inter-GPS model in the Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning paper on the PGDP5K dataset? | Total Accuracy |
What metrics were used to measure the VCD No Coarse model in the Variational Context-Deformable ConvNets for Indoor Scene Parsing paper on the Cityscapes test dataset? | mIoU |
What metrics were used to measure the POTR-3D model in the Towards Robust and Smooth 3D Multi-Person Pose Estimation from Monocular Videos in the Wild paper on the MuPoTS-3D dataset? | 3DPCK, MPJPE |
What metrics were used to measure the TDBU_Net model in the Monocular 3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks paper on the MuPoTS-3D dataset? | 3DPCK, MPJPE |
What metrics were used to measure the GnTCN model in the Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos paper on the MuPoTS-3D dataset? | 3DPCK, MPJPE |
What metrics were used to measure the PIRN model in the Permutation-Invariant Relational Network for Multi-person 3D Pose Estimation paper on the MuPoTS-3D dataset? | 3DPCK, MPJPE |
What metrics were used to measure the VirtualPose model in the VirtualPose: Learning Generalizable 3D Human Pose Models from Virtual Data paper on the MuPoTS-3D dataset? | 3DPCK, MPJPE |
What metrics were used to measure the HMOR model in the HMOR: Hierarchical Multi-Person Ordinal Relations for Monocular Multi-Person 3D Pose Estimation paper on the MuPoTS-3D dataset? | 3DPCK, MPJPE |
What metrics were used to measure the GR-M3D model in the Dynamic Graph Reasoning for Multi-person 3D Pose Estimation paper on the MuPoTS-3D dataset? | 3DPCK, MPJPE |
What metrics were used to measure the DAS model in the Distribution-Aware Single-Stage Models for Multi-Person 3D Pose Estimation paper on the MuPoTS-3D dataset? | 3DPCK, MPJPE |
What metrics were used to measure the WDSPose model in the Multi-Person Absolute 3D Human Pose Estimation with Weak Depth Supervision paper on the MuPoTS-3D dataset? | 3DPCK, MPJPE |
What metrics were used to measure the Liu et al. model in the Explicit Occlusion Reasoning for Multi-person 3D Human Pose Estimation paper on the MuPoTS-3D dataset? | 3DPCK, MPJPE |
What metrics were used to measure the SMAP model in the SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation paper on the MuPoTS-3D dataset? | 3DPCK, MPJPE |
What metrics were used to measure the HDNet model in the HDNet: Human Depth Estimation for Multi-Person Camera-Space Localization paper on the MuPoTS-3D dataset? | 3DPCK, MPJPE |
What metrics were used to measure the 3DMPPE_POSENET model in the Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image paper on the MuPoTS-3D dataset? | 3DPCK, MPJPE |
What metrics were used to measure the Depth Prediction Network model in the Absolute Human Pose Estimation with Depth Prediction Network paper on the MuPoTS-3D dataset? | 3DPCK, MPJPE |
What metrics were used to measure the UniCRS model in the Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning paper on the ReDial dataset? | Distinct-3, Distinct-4, Distinct-2, Perplexity |
What metrics were used to measure the CRFR model in the CRFR: Improving Conversational Recommender Systems via Flexible Fragments Reasoning on Knowledge Graphs paper on the ReDial dataset? | Distinct-3, Distinct-4, Distinct-2, Perplexity |
What metrics were used to measure the KGSF model in the Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion paper on the ReDial dataset? | Distinct-3, Distinct-4, Distinct-2, Perplexity |
What metrics were used to measure the C2CRS model in the C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System paper on the ReDial dataset? | Distinct-3, Distinct-4, Distinct-2, Perplexity |
What metrics were used to measure the KBRD model in the Towards Knowledge-Based Recommender Dialog System paper on the ReDial dataset? | Distinct-3, Distinct-4, Distinct-2, Perplexity |
What metrics were used to measure the UniLM model in the CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning paper on the CommonGen dataset? | CIDEr, METEOR, BLEU-4, SPICE |
What metrics were used to measure the BART (TextBox 2.0) model in the TextBox 2.0: A Text Generation Library with Pre-trained Language Models paper on the CommonGen dataset? | CIDEr, METEOR, BLEU-4, SPICE |
What metrics were used to measure the BART model in the The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics paper on the CommonGen dataset? | CIDEr, METEOR, BLEU-4, SPICE |
What metrics were used to measure the T5 model in the The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics paper on the CommonGen dataset? | CIDEr, METEOR, BLEU-4, SPICE |
What metrics were used to measure the RankGAN model in the Adversarial Ranking for Language Generation paper on the Chinese Poems dataset? | BLEU-2 |
What metrics were used to measure the SeqGAN model in the SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient paper on the Chinese Poems dataset? | BLEU-2 |
What metrics were used to measure the LeakGAN model in the Long Text Generation via Adversarial Training with Leaked Information paper on the Chinese Poems dataset? | BLEU-2 |
What metrics were used to measure the LLaMA-65B+CFG (zero-shot) model in the Stay on topic with Classifier-Free Guidance paper on the SciQ dataset? | Accuracy, acc |
What metrics were used to measure the LLaMA-30B+CFG (zero-shot) model in the Stay on topic with Classifier-Free Guidance paper on the SciQ dataset? | Accuracy, acc |
What metrics were used to measure the LLaMA-13B+CFG (zero-shot) model in the Stay on topic with Classifier-Free Guidance paper on the SciQ dataset? | Accuracy, acc |
What metrics were used to measure the BART (TextBox 2.0) model in the TextBox 2.0: A Text Generation Library with Pre-trained Language Models paper on the ADGEN dataset? | BLEU-4 |
What metrics were used to measure the LeakGAN model in the Long Text Generation via Adversarial Training with Leaked Information paper on the EMNLP2017 WMT dataset? | BLEU-2, BLEU-3, BLEU-4, BLEU-5, NLLgen |
What metrics were used to measure the PPOGAN model in the Improving GAN Training with Probability Ratio Clipping and Sample Reweighting paper on the EMNLP2017 WMT dataset? | BLEU-2, BLEU-3, BLEU-4, BLEU-5, NLLgen |
What metrics were used to measure the RelGAN model in the RelGAN: Relational Generative Adversarial Networks for Text Generation paper on the EMNLP2017 WMT dataset? | BLEU-2, BLEU-3, BLEU-4, BLEU-5, NLLgen |
What metrics were used to measure the SeqGAN model in the SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient paper on the EMNLP2017 WMT dataset? | BLEU-2, BLEU-3, BLEU-4, BLEU-5, NLLgen |
What metrics were used to measure the RankGAN model in the Adversarial Ranking for Language Generation paper on the EMNLP2017 WMT dataset? | BLEU-2, BLEU-3, BLEU-4, BLEU-5, NLLgen |
What metrics were used to measure the AEM+Attention model in the An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation paper on the DailyDialog dataset? | BLEU-1, BLEU-2, BLEU-3, BLEU-4 |
What metrics were used to measure the TGen++ model in the The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics paper on the Czech restaurant information dataset? | METEOR |
What metrics were used to measure the TGen model in the The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics paper on the Czech restaurant information dataset? | METEOR |
What metrics were used to measure the TGen+ model in the The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics paper on the Czech restaurant information dataset? | METEOR |
What metrics were used to measure the GPT-4 model in the Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment paper on the HarmfulQA dataset? | ASR |
What metrics were used to measure the BART (TextBox 2.0) model in the TextBox 2.0: A Text Generation Library with Pre-trained Language Models paper on the CSL dataset? | ROUGE-L |
What metrics were used to measure the Graph2Seq model in the A Graph-to-Sequence Model for AMR-to-Text Generation paper on the LDC2016E25 dataset? | BLEU |
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 CNN/Daily Mail dataset? | ROUGE-L |
What metrics were used to measure the BART (TextBox 2.0) model in the TextBox 2.0: A Text Generation Library with Pre-trained Language Models paper on the LCSTS dataset? | ROUGE-L |
What metrics were used to measure the LeakGAN model in the Long Text Generation via Adversarial Training with Leaked Information paper on the COCO Captions dataset? | BLEU-2, BLEU-3, BLEU-4, BLEU-5 |
What metrics were used to measure the partGAN model in the Long Text Generation via Adversarial Training with Leaked Information paper on the COCO Captions dataset? | BLEU-2, BLEU-3, BLEU-4, BLEU-5 |
What metrics were used to measure the RankGAN model in the Adversarial Ranking for Language Generation paper on the COCO Captions dataset? | BLEU-2, BLEU-3, BLEU-4, BLEU-5 |
What metrics were used to measure the RelGAN (100) model in the RelGAN: Relational Generative Adversarial Networks for Text Generation paper on the COCO Captions dataset? | BLEU-2, BLEU-3, BLEU-4, BLEU-5 |
What metrics were used to measure the SeqGAN model in the SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient paper on the COCO Captions dataset? | BLEU-2, BLEU-3, BLEU-4, BLEU-5 |
What metrics were used to measure the WGANGP + DGflow model in the Refining Deep Generative Models via Discriminator Gradient Flow paper on the One Billion Word dataset? | JS-4 |
What metrics were used to measure the Control Prefixes (T5-large) model in the Control Prefixes for Parameter-Efficient Text Generation paper on the DART dataset? | METEOR |
What metrics were used to measure the T5 model in the The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics paper on the DART dataset? | METEOR |
What metrics were used to measure the BART model in the The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics paper on the DART dataset? | METEOR |
What metrics were used to measure the Beam search + A*esque (beam) model in the NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics paper on the ROCStories dataset? | BLEU-1, Perplexity |
What metrics were used to measure the Beam search + A*esque (sample) model in the NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics paper on the ROCStories dataset? | BLEU-1, Perplexity |
What metrics were used to measure the Beam search + A*esque (greedy) model in the NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics paper on the ROCStories dataset? | BLEU-1, Perplexity |
What metrics were used to measure the Beam search model in the NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics paper on the ROCStories dataset? | BLEU-1, Perplexity |
What metrics were used to measure the STWGAN-GP model in the Generating Text through Adversarial Training using Skip-Thought Vectors paper on the CMU-SE dataset? | BLEU-3 |
What metrics were used to measure the Aggressive VAE model in the Lagging Inference Networks and Posterior Collapse in Variational Autoencoders paper on the Yahoo Questions dataset? | NLL, KL, Perplexity |
What metrics were used to measure the SA-VAE model in the Semi-Amortized Variational Autoencoders paper on the Yahoo Questions dataset? | NLL, KL, Perplexity |
What metrics were used to measure the CNN-VAE model in the Improved Variational Autoencoders for Text Modeling using Dilated Convolutions paper on the Yahoo Questions dataset? | NLL, KL, Perplexity |
What metrics were used to measure the BART W/ Mined model in the Reading StackOverflow Encourages Cheating: Adding Question Text Improves Extractive Code Generation paper on the CoNaLa-Ext dataset? | BLEU |
What metrics were used to measure the BART Base model in the Reading StackOverflow Encourages Cheating: Adding Question Text Improves Extractive Code Generation paper on the CoNaLa-Ext dataset? | BLEU |
What metrics were used to measure the External Knowledge With API + Reranking model in the Incorporating External Knowledge through Pre-training for Natural Language to Code Generation paper on the CoNaLa-Ext dataset? | BLEU |
What metrics were used to measure the External Knowledge With API model in the Incorporating External Knowledge through Pre-training for Natural Language to Code Generation paper on the CoNaLa-Ext dataset? | BLEU |
What metrics were used to measure the Reranker model in the Reranking for Neural Semantic Parsing paper on the CoNaLa-Ext dataset? | BLEU |
What metrics were used to measure the TranX model in the TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation paper on the CoNaLa-Ext dataset? | BLEU |
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