ReCoRD

Overview edit

Variants: ReCoRD

Associated Benchmarks

This dataset is used in 1 benchmark:

• Common Sense Reasoning - Metrics: EM, F1

Recent Benchmark Submissions

Research Papers

Recent papers with results on this dataset:

• Integrating a Heterogeneous Graph with Entity-aware Self-attention using Relative Position Labels for Reading Comprehension Model (2023) -
• PaLM 2 Technical Report (2023) -
• BloombergGPT: A Large Language Model for Finance (2023) -
• LUKE-Graph: A Transformer-based Approach with Gated Relational Graph Attention for Cloze-style Reading Comprehension (2023) -
• Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE (2022) -
• AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model (2022) -
• N-Grammer: Augmenting Transformers with latent n-grams (2022) -
• Large Language Models are Zero-Shot Reasoners (2022) -
• PaLM: Scaling Language Modeling with Pathways (2022) -
• Efficient Language Modeling with Sparse all-MLP (2022) -
• ST-MoE: Designing Stable and Transferable Sparse Expert Models (2022) -
• KELM: Knowledge Enhanced Pre-Trained Language Representations with Message Passing on Hierarchical Relational Graphs (2021) -
• Finetuned Language Models Are Zero-Shot Learners (2021) -
• LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention (2020) -
• DeBERTa: Decoding-enhanced BERT with Disentangled Attention (2020) -
• Language Models are Few-Shot Learners (2020) -
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (2019) -
• ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension (2018) -
• BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (2018) -