prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the BiAttention + DCU-LSTM model in the Multi-Granular Sequence Encoding via Dilated Compositional Units for Reading Comprehension paper on the NarrativeQA dataset? | Rouge-L, BLEU-1, BLEU-4, METEOR |
What metrics were used to measure the BiDAF model in the Bidirectional Attention Flow for Machine Comprehension paper on the NarrativeQA dataset? | Rouge-L, BLEU-1, BLEU-4, METEOR |
What metrics were used to measure the FiD+Distil model in the Distilling Knowledge from Reader to Retriever for Question Answering paper on the NarrativeQA dataset? | Rouge-L, BLEU-1, BLEU-4, METEOR |
What metrics were used to measure the Oracle IR Models model in the The NarrativeQA Reading Comprehension Challenge paper on the NarrativeQA dataset? | Rouge-L, BLEU-1, BLEU-4, METEOR |
What metrics were used to measure the UnitedQA model in the UnitedQA: A Hybrid Approach for Open Domain Question Answering paper on the EfficientQA test dataset? | Accuracy |
What metrics were used to measure the Ma et al. - ELECTRA model in the Enhanced Speaker-aware Multi-party Multi-turn Dialogue Comprehension paper on the FriendsQA dataset? | EM, F1 |
What metrics were used to measure the Li and Zhao - ELECTRA model in the Self- and Pseudo-self-supervised Prediction of Speaker and Key-utterance for Multi-party Dialogue Reading Comprehension paper on the FriendsQA dataset? | EM, F1 |
What metrics were used to measure the Li and Choi - RoBERTa model in the Transformers to Learn Hierarchical Contexts in Multiparty Dialogue for Span-based Question Answering paper on the FriendsQA dataset? | EM, F1 |
What metrics were used to measure the Li and Zhao - BERT model in the Self- and Pseudo-self-supervised Prediction of Speaker and Key-utterance for Multi-party Dialogue Reading Comprehension paper on the FriendsQA dataset? | EM, F1 |
What metrics were used to measure the Li and Choi - BERT model in the Transformers to Learn Hierarchical Contexts in Multiparty Dialogue for Span-based Question Answering paper on the FriendsQA dataset? | EM, F1 |
What metrics were used to measure the Liu et al. - BERT model in the Graph-Based Knowledge Integration for Question Answering over Dialogue paper on the FriendsQA dataset? | EM, F1 |
What metrics were used to measure the PaLM 2-L (one-shot) model in the PaLM 2 Technical Report paper on the TriviaQA dataset? | EM, F1 |
What metrics were used to measure the LLaMA 2 70B (one-shot) model in the Llama 2: Open Foundation and Fine-Tuned Chat Models paper on the TriviaQA dataset? | EM, F1 |
What metrics were used to measure the PaLM 2-M (one-shot) model in the PaLM 2 Technical Report paper on the TriviaQA dataset? | EM, F1 |
What metrics were used to measure the PaLM-540B (Few-Shot) model in the PaLM: Scaling Language Modeling with Pathways paper on the TriviaQA dataset? | EM, F1 |
What metrics were used to measure the PaLM-540B (One-Shot) model in the PaLM: Scaling Language Modeling with Pathways paper on the TriviaQA dataset? | EM, F1 |
What metrics were used to measure the Codex + REPLUG LSR (Few-Shot) model in the REPLUG: Retrieval-Augmented Black-Box Language Models paper on the TriviaQA dataset? | EM, F1 |
What metrics were used to measure the PaLM-540B (Zero-Shot) model in the PaLM: Scaling Language Modeling with Pathways paper on the TriviaQA dataset? | EM, F1 |
What metrics were used to measure the Codex + REPLUG (Few-Shot) model in the REPLUG: Retrieval-Augmented Black-Box Language Models paper on the TriviaQA dataset? | EM, F1 |
What metrics were used to measure the GLaM 62B/64E (One-shot) model in the GLaM: Efficient Scaling of Language Models with Mixture-of-Experts paper on the TriviaQA dataset? | EM, F1 |
What metrics were used to measure the GLaM 62B/64E (Few-shot) model in the GLaM: Efficient Scaling of Language Models with Mixture-of-Experts paper on the TriviaQA dataset? | EM, F1 |
What metrics were used to measure the PaLM 2-S (one-shot) model in the PaLM 2 Technical Report paper on the TriviaQA dataset? | EM, F1 |
What metrics were used to measure the LLaMA 65B (few-shot, k=64) model in the LLaMA: Open and Efficient Foundation Language Models paper on the TriviaQA dataset? | EM, F1 |
What metrics were used to measure the FiE+PAQ model in the FiE: Building a Global Probability Space by Leveraging Early Fusion in Encoder for Open-Domain Question Answering paper on the TriviaQA dataset? | EM, F1 |
What metrics were used to measure the LLaMA 65B (few-shot, k=5) model in the LLaMA: Open and Efficient Foundation Language Models paper on the TriviaQA dataset? | EM, F1 |
What metrics were used to measure the FiD+Distil model in the Distilling Knowledge from Reader to Retriever for Question Answering paper on the TriviaQA dataset? | EM, F1 |
What metrics were used to measure the LLaMA 65B (one-shot) model in the LLaMA: Open and Efficient Foundation Language Models paper on the TriviaQA dataset? | EM, F1 |
What metrics were used to measure the EMDR2 model in the End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering paper on the TriviaQA dataset? | EM, F1 |
What metrics were used to measure the GLaM 62B/64E (Zero-shot) model in the GLaM: Efficient Scaling of Language Models with Mixture-of-Experts paper on the TriviaQA dataset? | EM, F1 |
What metrics were used to measure the GPT-3 175B (Few-Shot) model in the Language Models are Few-Shot Learners paper on the TriviaQA dataset? | EM, F1 |
What metrics were used to measure the LLaMA 65B (zero-shot) model in the LLaMA: Open and Efficient Foundation Language Models paper on the TriviaQA dataset? | EM, F1 |
What metrics were used to measure the Fusion-in-Decoder (large) model in the Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering paper on the TriviaQA dataset? | EM, F1 |
What metrics were used to measure the MemoReader model in the MemoReader: Large-Scale Reading Comprehension through Neural Memory Controller paper on the TriviaQA dataset? | EM, F1 |
What metrics were used to measure the S-Norm model in the Simple and Effective Multi-Paragraph Reading Comprehension paper on the TriviaQA dataset? | EM, F1 |
What metrics were used to measure the TOME-2 model in the Mention Memory: incorporating textual knowledge into Transformers through entity mention attention paper on the TriviaQA dataset? | EM, F1 |
What metrics were used to measure the DPR model in the Dense Passage Retrieval for Open-Domain Question Answering paper on the TriviaQA dataset? | EM, F1 |
What metrics were used to measure the FLAN 137B zero-shot model in the Finetuned Language Models Are Zero-Shot Learners paper on the TriviaQA dataset? | EM, F1 |
What metrics were used to measure the RAG model in the Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks paper on the TriviaQA dataset? | EM, F1 |
What metrics were used to measure the Reading Twice for NLU model in the Dynamic Integration of Background Knowledge in Neural NLU Systems paper on the TriviaQA dataset? | EM, F1 |
What metrics were used to measure the Mnemonic Reader model in the Reinforced Mnemonic Reader for Machine Reading Comprehension paper on the TriviaQA dataset? | EM, F1 |
What metrics were used to measure the ORQA model in the Latent Retrieval for Weakly Supervised Open Domain Question Answering paper on the TriviaQA dataset? | EM, F1 |
What metrics were used to measure the MEMEN model in the MEMEN: Multi-layer Embedding with Memory Networks for Machine Comprehension paper on the TriviaQA dataset? | EM, F1 |
What metrics were used to measure the SpanBERT model in the SpanBERT: Improving Pre-training by Representing and Predicting Spans paper on the TriviaQA dataset? | EM, F1 |
What metrics were used to measure the BigBird-etc model in the Big Bird: Transformers for Longer Sequences paper on the TriviaQA dataset? | EM, F1 |
What metrics were used to measure the LinkBERT (large) model in the LinkBERT: Pretraining Language Models with Document Links paper on the TriviaQA dataset? | EM, F1 |
What metrics were used to measure the DyREX model in the DyREx: Dynamic Query Representation for Extractive Question Answering paper on the TriviaQA dataset? | EM, F1 |
What metrics were used to measure the UnitedQA (Hybrid reader) model in the UnitedQA: A Hybrid Approach for Open Domain Question Answering paper on the TriviaQA dataset? | EM, F1 |
What metrics were used to measure the ReasonBERTR model in the ReasonBERT: Pre-trained to Reason with Distant Supervision paper on the TriviaQA dataset? | EM, F1 |
What metrics were used to measure the ReasonBERTB model in the ReasonBERT: Pre-trained to Reason with Distant Supervision paper on the TriviaQA dataset? | EM, F1 |
What metrics were used to measure the RGX model in the Cooperative Self-training of Machine Reading Comprehension paper on the MRQA out-of-domain dataset? | Average F1 |
What metrics were used to measure the {ANNA} (single model) model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the LUKE (single model) model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the LUKE (single model) model in the LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the LUKE model in the LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the XLNet (single model) model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the XLNet (single model) model in the XLNet: Generalized Autoregressive Pretraining for Language Understanding paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the XLNET-123++ (single model) model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the XLNET-123+ (single model) model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the XLNET-123 (single model) model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the Unnamed submission by NMC model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the BERTSP (single model) model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the SpanBERT (single model) model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the SpanBERT (single model) model in the SpanBERT: Improving Pre-training by Representing and Predicting Spans paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the BERT+WWM+MT (single model) model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the Tuned BERT-1seq Large Cased (single model) model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the LinkBERT (large) model in the LinkBERT: Pretraining Language Models with Document Links paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the BERT (ensemble) model in the BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the BERT-LARGE (Ensemble+TriviaQA) model in the BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the ATB (single model) model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the Tuned BERT Large Cased (single model) model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the BERT+MT (single model) model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the Knowledge-enhanced BERT (single model) model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the KT-NET (single model) model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the ST_bl model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the nlnet (ensemble) model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the EL-BERT (single model) model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the BISAN (single model) model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the BERT+Sparse-Transformer model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the BERT (single model) model in the BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the DPN (single model) model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the BERT-uncased (single model) model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the WD (single model) model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the Original BERT Large Cased (single model) model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the MARS (ensemble) model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the Common-sense Governed BERT-123 (single model) model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the WD1 (single model) model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the nlnet (single model) model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the Pytalk + Stanza + BERT (single model) model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the Reinforced Mnemonic Reader + A2D (ensemble model) model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the BERT-Base mod (single model) model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the r-net+ (ensemble) model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the Hybrid AoA Reader (ensemble) model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the QANet (single) model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the SLQA+ (ensemble) model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the Reinforced Mnemonic Reader (ensemble model) model in the Reinforced Mnemonic Reader for Machine Reading Comprehension paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the r-net (ensemble) model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the BERT (single model) model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the AttentionReader+ (ensemble) model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the MMIPN model in the paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
What metrics were used to measure the BERT - 6 Layers model in the Information Theoretic Representation Distillation paper on the SQuAD1.1 dataset? | EM, F1, Hardware Burden, Exact Match, Operations per network pass |
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