EMNLP-2023-Papers Efficient Methods for NLP Title Repo Paper Video Learning to Predict Task Transferability via Soft Prompt ➖ ➖ Byte Pair Encoding for Symbolic Music ➖ Understanding the Effect of Model Compression on Social Bias in Large Language Models ➖ Knowledge Distillation ≈ Label Smoothing: Fact or Fallacy? ➖ ➖ The Framework Tax: Disparities between Inference Efficiency in NLP Research and Deployment ➖ Making Large Language Models Better Data Creators ➖ APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-Trained Language Models ➖ ➖ Parameter-Efficient Language Model Tuning with Active Learning in Low-Resource Settings ➖ Merging Experts into One: Improving Computational Efficiency of Mixture of Experts ➖ Selective Labeling: How to Radically Lower Data-Labeling Costs for Document Extraction Models ➖ ➖ Focus Your Attention (with Adaptive IIR Filters) ➖ ➖ Let’s Sample Step by Step: Adaptive-Consistency for Efficient Reasoning and Coding with LLMs ➖
