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42dot_llm

42dot LLM consists of a pre-trained language model, 42dot LLM-PLM, and a fine-tuned model, 42dot LLM-SFT, which is trained to respond to user prompts and supports both languages simultaneously by training a large amount of Korean and English text.

bartabsa

computervision-2401

Computer Vision Course 2024-01

diaasq

ACL 2023 (Findings) : DiaASQ: A Benchmark of Conversational Aspect-based Sentiment Quadruple Analysis

itz_my_repo

memd-absa

A multi-element multi-domain dataset for Aspect-Based Sentiment Analysis

multi-view-prompting

Data, code and model for ACL 2023 paper "MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction"

my_open_source_software

nothing

recap

Retrieval-Enhanced Context-Aware Prefix Encoder for Personalized Dialogue Response Generation

tk-instruct

Tk-Instruct is a Transformer model that is tuned to solve many NLP tasks by following instructions.