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Jinhyeong's Projects

ai-tech-interview icon ai-tech-interview

πŸ‘©β€πŸ’»πŸ‘¨β€πŸ’» AI μ—”μ§€λ‹ˆμ–΄ 기술 λ©΄μ ‘ μŠ€ν„°λ””

alce icon alce

Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627

brio icon brio

ACL 2022: BRIO: Bringing Order to Abstractive Summarization

chainlit icon chainlit

Build Python LLM apps in minutes ⚑️

cnndm_acl18 icon cnndm_acl18

Code to obtain the training data for the ACL 2018 paper "Neural Document Summarization by Jointly Learning to Score and Select Sentences"

dyle icon dyle

Repository for our paper: Dynamic Latent Extraction for Abstractive Long-Input Summarization

dyle-pytorch-lightning icon dyle-pytorch-lightning

Reproduction of source code for ACL 2022 paper DYLE using Pytorch-Lightning: Dynamic latent extraction for abstract long input summary

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

flare icon flare

Forward-Looking Active REtrieval-augmented generation (FLARE)

focusseq2seq icon focusseq2seq

[EMNLP 2019] Mixture Content Selection for Diverse Sequence Generation (Question Generation / Abstractive Summarization)

koalpaca_llama_index icon koalpaca_llama_index

BingChatκ³Ό 같이 LLM을 ν™œμš©ν•˜μ—¬ 검색에 λŒ€ν•œ λ‹΅λ³€ μƒμ„±ν•΄μ£ΌλŠ” ν”„λ ˆμž„μ›Œν¬

langchain icon langchain

⚑ Building applications with LLMs through composability ⚑

llama_index icon llama_index

LlamaIndex (GPT Index) is a data framework for your LLM applications

llmspracticalguide icon llmspracticalguide

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

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