- 이전글엣지인공지능 22.09.01
- 다음글강화학습 및 로봇학습 24.04.30
연구
연구실
언어 기계 학습연구실 인공지능
Machine Learning for Language Lab
담당교수 김재형
공학원 430호
연구실 소개
My research goal is to enhance machine learning (ML) and NLP frameworks to be more accurate and reliable in real-world scenarios, by designing proper algorithms. Recently, I’ve been mostly interested in large language models (LLMs), especially in their alignment, adaptation (e.g., personalization), and development. While my recent focus has mainly been on NLP and LLMs, I’m also interested in improving ML frameworks in other domains.
연구분야
기계 학습 자연어처리 언어모델대표 논문
- SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs, ICLR 2024
- RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training, EMNLP 2023
- A Universal Framework for Dataset Characterization with Multidimensional Meta-information, ACL 2023
- Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning, ICML 2023
- What Makes Better Augmentation Strategies? Augment Difficult but Not too Different, ICLR 2022
- Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning, NeurIPS 2020