COPA

Overview edit

Variants: COPA

Associated Benchmarks

This dataset is used in 1 benchmark:

• Question Answering - Metrics: Accuracy

Recent Benchmark Submissions

Research Papers

Recent papers with results on this dataset:

• The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning (2023) -
• PaLM 2 Technical Report (2023) -
• BloombergGPT: A Large Language Model for Finance (2023) -
• Exploring the Benefits of Training Expert Language Models over Instruction Tuning (2023) -
• Hungry Hungry Hippos: Towards Language Modeling with State Space Models (2022) -
• Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE (2022) -
• Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models (2022) -
• Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners (2022) -
• Ask Me Anything: A simple strategy for prompting language models (2022) -
• AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model (2022) -
• N-Grammer: Augmenting Transformers with latent n-grams (2022) -
• UL2: Unifying Language Learning Paradigms (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) -
• 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) -