PIQA

Overview edit

Variants: PIQA

Associated Benchmarks

This dataset is used in 2 benchmarks:

• Question Answering - Metrics: Accuracy
• Text Generation - Metrics: acc

Recent Benchmark Submissions

Research Papers

Recent papers with results on this dataset:

• SHAKTI: A 2.5 Billion Parameter Small Language Model Optimized for Edge AI and Low-Resource Environments (2024) -
• Mixture-of-Subspaces in Low-Rank Adaptation (2024) -
• MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts (2024) -
• Mixtral of Experts (2024) -
• Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks (2024) -
• Mistral 7B (2023) -
• Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning (2023) -
• Textbooks Are All You Need II: phi-1.5 technical report (2023) -
• Llama 2: Open Foundation and Fine-Tuned Chat Models (2023) -
• PaLM 2 Technical Report (2023) -
• LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions (2023) -
• Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling (2023) -
• BloombergGPT: A Large Language Model for Finance (2023) -
• LLaMA: Open and Efficient Foundation Language Models (2023) -
• SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot (2023) -
• Two is Better than Many? Binary Classification as an Effective Approach to Multi-Choice Question Answering (2022) -
• Task Compass: Scaling Multi-task Pre-training with Task Prefix (2022) -
• Training Compute-Optimal Large Language Models (2022) -
• Efficient Language Modeling with Sparse all-MLP (2022) -
• Scaling Language Models: Methods, Analysis & Insights from Training Gopher (2021) -