Jinhyeong's repositories
KoBART_extabs_summarization
KoBART_extabs_summarization_pytorch
Domain-Adaptive-Pre-train-for-Dialogue-Summarization
대화 요약 모델 성능 향상을 위한 사후 학습
DYLE-pytorch-lightning
Reproduction of source code for ACL 2022 paper DYLE using Pytorch-Lightning: Dynamic latent extraction for abstract long input summary
KoAlpaca_llama_index
BingChat과 같이 LLM을 활용하여 검색에 대한 답변 생성해주는 프레임워크
DYLE
Repository for our paper: Dynamic Latent Extraction for Abstractive Long-Input Summarization
KoBART-summarization
Summarization module based on KoBART
Summ-N-ECS
Source code for EMNLP 2023 Workshop paper Improving Multi-Stage Long Document Summarization with Enhanced Coarse Summarizer
ALCE
Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627
auto-evaluator
Evaluation tool for LLM QA chains
chainlit
Build Python LLM apps in minutes ⚡️
FiD
Fusion-in-Decoder
FLARE
Forward-Looking Active REtrieval-augmented generation (FLARE)
langchain
⚡ Building applications with LLMs through composability ⚡
llama_index
LlamaIndex (GPT Index) is a data framework for your LLM applications
LLM-As-Chatbot
LLM as a Chatbot Service
LLMsPracticalGuide
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
long_llama
LongLLaMA is a large language model capable of handling long contexts. It is based on OpenLLaMA and fine-tuned with the Focused Transformer (FoT) method.
lost-in-the-middle
Code and data for "Lost in the Middle: How Language Models Use Long Contexts"
Multi_View_Summarization
Improving Dialogue Summarization with Speaker-aware and Topic-aware Contrastive Learning
rank_llm
Borrows code from RankGPT repo to expand LLM reranking to other LLMs (Vicuna) and Prompt generation methods (LRL, etc)
raptor
The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
summvis
SummVis is an interactive visualization tool for text summarization.
trl
Train transformer language models with reinforcement learning.