Simple and Lightweight Text Classifiers with LLM Embeddings
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Updated
Jul 10, 2024 - Python
Simple and Lightweight Text Classifiers with LLM Embeddings
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Data enrichment with experimental results of the paper 'Two is Better than Many? Binary Classification as an Effective Approach to Multi-Choice Question Answering'
[ACL 2023] Solving Math Word Problems via Cooperative Reasoning induced Language Models
A PyTorch Library for Sequence Labeling Tasks such as Named-entity Recognition or Part-of-speech Tagging
Our EMNLP 2022 paper on MCQA
The code of Hierarchical Multi-label Classification (HMC). It is a final course project of Natural Language Processing and Deep Learning, 2022 Fall.
The implementation of DeBERTaV3-based commonsense question answering on CommonsenseQA.
Some experiments to compare the performances of some pre-trained transformer models on a basic sentiment regression task
Application for training the pretrained transformer model DeBERTaV3 on an Aspect Based Sentiment Analysis task
🥇Samsung AI Challenge 2021 1등 솔루션입니다🥇
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