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Seungone Kim (김승원)

Info about me...

Hello! I am an incoming Ph.D. student at Carnegie Mellon University and a M.S. Student at KAIST, advised by Minjoon Seo.

My primary research focus lies establishing a science of language model behaviors.
Concretely, my research interests include: (i) developing LLM evaluation frameworks that systematically identify what specific capabilities language models lack and (ii) improving language models with (human) feedback.

Reach out to me via email ([email protected]) if you have any questions, or would like to collaborate with me!

Seungone Kim's Projects

aclpub icon aclpub

The official tool for creating proceedings for conferences of the Association for Computational Linguistics (ACL).

algorithms icon algorithms

This repository is where I store my codes for Competitive Programming and Implementation of Data Structures. Problems and content are sourced from ICPC, Baekjoon Online Judge, CodeForces and lectures from Yonsei University(CSI2103-01, CSI3108-01). All the work was done since 2019.06 and was committed on git since 2021.01.22

alpaca_eval icon alpaca_eval

An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.

bert icon bert

TensorFlow code and pre-trained models for BERT

bert_implementation icon bert_implementation

Devlin, Jacob, et al. "Bert: Pre-training of deep bidirectional transformers for language understanding." arXiv preprint arXiv:1810.04805 (2018). (Implementation from scratch with PyTorch)

bidaf_torch icon bidaf_torch

Implementation for "Bi-Directional Attention Flow For Machine Comprehension"(ICLR 2017) Paper

big-bench icon big-bench

Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models

celebrity_hair_mixing_project icon celebrity_hair_mixing_project

Project of synthesizing celebrity's hair into a target face. Using Pix2Pix model and a pretrained MobileNet, we train the pix2pix model.

conev icon conev

Code base for Contrastive Explanation Verifier - based on Dense Passage Retriever codebase

cotever icon cotever

[EACL 2023] CoTEVer: Chain of Thought Prompting Annotation Toolkit for Explanation Verification

cs224n icon cs224n

This repository contains the 5 Assignments from cs224n 2019 winter class.

deeplearningpapers icon deeplearningpapers

This is a repository where I store materials I summarized from studying DL,ML,NLP,CV,RL,GAN,RS fields.

deeprl-tutorials icon deeprl-tutorials

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

dhgn icon dhgn

Codes for our CCL 2021 paper: Incorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks

elm icon elm

Exploring the Benefits of Training Expert Language Models over Instruction Tuning

fairseq icon fairseq

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

flask icon flask

Official codebase for "FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets"

flipped-learning icon flipped-learning

Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners

good-readme.md-template icon good-readme.md-template

예쁘게 보이는 README.md 의 템플릿 파일입니다. 해당 템플릿을 여러분의 레퍼지토리에 추가하여 다른 사람들에게 효율적으로 소개해보세요.

gpt3-sandbox icon gpt3-sandbox

The goal of this project is to enable users to create cool web demos using the newly released OpenAI GPT-3 API with just a few lines of Python.

improving-t0 icon improving-t0

Official code for paper "Not All Tasks are Born Equal: Uniderstanding Zero-Shot Generalization"

just-eval icon just-eval

A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs.

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