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M.J is a DPhil student in Computer Science at the University of Oxford supervised by professor Thomas Lukasiewicz. His current research focuses on investigating inconsistent behaviours of neural language models and developing remedies to alleviate the issues. M.J received a B.Sc degree in Industrial Management Engineering from Korea University in 2017. He earned an M.Eng degree in 2019 from the same affiliation and supervised by professor Pilsung Kang. M.J has previously worked for SK Telecom in Seoul, South Korea, as a natural language processing (NLP) scientist & engineer from 2019 to 2020.

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M.J Jang's Projects

lora icon lora

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

machine-translation icon machine-translation

Neural machine translation model(Encoder decoder model, Attention bidirectional model)

marbas icon marbas

Pynori - Lucene Nori, Korean Mopological Analyzer, in Python

masker icon masker

MASKER: Masked Keyword Regularization for Reliable Text Classification (AAAI 2021)

mj-jang.github.io icon mj-jang.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

nile icon nile

NILE : Natural Language Inference with Faithful Natural Language Explanations

reree icon reree

Regex Rele Entity Extractor

variable-selection icon variable-selection

Forward selection, Backward elimination, Stepwise selection, Genetic Algorithm (for Business Analytics class)

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