awesome-instruction-learning. Papers and Datasets on Instruction Tuning and Following. ✨✨✨
512Datasets-for-Question-Answering. Will be updated continuously.
40AAAR-1.0. The source code for running LLMs on the AAAR-1.0 benchmark.
20Muffin. MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction-Following
16MORE. The source code for paper--MORE: A Metric learning based framework for Open-domain Relation Extraction.
12Bib-normalizer. A simple script which can normalize your BibTex.
9OpenAI-API-Summarization. A NLP model API summarization for OpenAI.
7AutoSeM. A reproduction for AutoSeM, in NAACL 2019
4GradTS. GradTS: A Gradient-Based Automatic Auxiliary Task Selection Method Based on Transformer Networks
4Text-to-Text-Classification. Investigating the NLP classification tasks, text-to-text vs. text-to-indices.
4Pick-Rank. Python
1RenzeLou.github.io. Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
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