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ChatGPTPapers
Must-read papers, related blogs and API tools on the pre-training and tuning methods for ChatGPT.active-prompt
Source code for the paper "Active Prompting with Chain-of-Thought for Large Language Models"R-Tuning
[NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't Know'"awesome-domain-adaptation-NLP
domain adaptation in NLPDaVinci
Source code for the paper "Prefix Language Models are Unified Modal Learners"TILGAN
Source code for the Findings of ACL-IJCNLP 2021 paper entitled "TILGAN: Transformer-based Implicit Latent GAN for Diverse and Coherent Text Generation"automate-cot
Source code for the paper "Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data"T-DNA
Source code for the ACL-IJCNLP 2021 paper entitled "T-DNA: Taming Pre-trained Language Models with N-gram Representations for Low-Resource Domain Adaptation" by Shizhe Diao et al.BigGAN-PyTorch-TPU-Distribute
Distributed version (multiple-process) for training BigGAN with TPU.Post-Training-Data-Flywheel
We aim to provide the best references to search, select, and synthesize high-quality and large-quantity data for post-training your LLMs.awesome-transformers
A curated list of resources dedicated to Transformers.HashTation
Source code for the paper "Hashtag-Guided Low-Resource Tweet Classification"Transformers_TPU
transformers_TPU, trying to solve RAM issues with mapping datasetSEDST3
SEDST version 3.0 base on the Code for CIKM'18 long paper: Explicit state tracking with semi-supervision for neural dialogue generation.Doolittle
Source code for the EMNLP 2023 paper entitled "Doolittle: Benchmarks and Corpora for Academic Writing Formalization" by Shizhe Diao et al.BigGAN-PyTorch-TPU-Parallel
Parallel version (multiple-thread) for training BigGAN with TPU.Black-Box-Prompt-Learning
Source code for the paper "Black-Box Prompt Learning for Pre-trained Language Models"TPU-Tutorial
This is a tutorial for beginners who would like to use TPU with Pytorch.MATH6450-CIFAR10
Course project for MATH6450F training two models onn CIFAR-10 to achieve a good performance. The code is adapted from CIFAR-ZOO (https://github.com/BIGBALLON/CIFAR-ZOO)Love Open Source and this site? Check out how you can help us