Multimodal Language Processing Lab.
KAIST 멀티모달 자연어처리 연구실 (임경태 교수와 MLP랩)
https://sites.google.com/view/aailab
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News
News
(Oct. 2026) Our paper was accepted for publication in the Nuclear Engineering and Technology.
(Sep. 2026) One paper was accepted to AACL 2026.
(Sep. 2026) Hoyun Song (송호윤) joined the faculty at Dankook University.
(Aug. 2026) Seven papers were accepted to EMNLP 2026.
(Jul. 2026) Hyeonseok Lim (임현석) joined ETRI as a researcher.
(Jul. 2026) Changsu Choi (최창수) joined DeNA (Japan) as an AI specialist.
(Jul. 2026) Seohyun Song (송서현) joined SoulArt after graduation.
(May 2026) Our paper was accepted for publication in the International Journal of Human–Computer Interaction (SCIE).
(Apr. 2026) Four papers were accepted to ACL 2026.
(Apr. 2025) Our lab was selected for the "디지털 딥페이크 대응 핵심기술개발" research project (IITP).
(Mar. 2025) Our lab was selected for the "핵심연구(C유형, 1.5 billion KRW)" research project (NRF).
(Mar. 2026) Our paper was accepted for publication in Scientific Reports (SCIE).
(Jan. 2026) Our paper was accepted for publication in Language Resources and Evaluation (SCIE).
(Jan. 2026) Four papers were accepted to EACL 2026.
(Aug. 2025) Dongjae Shin (신동재) joined Tutorus Labs after graduation.
(Aug. 2025) Our lab was selected for the "우수신진" research project (NRF).
(Aug. 2025) Two papers were accepted to EMNLP 2025.
Research
KAIST 멀티모달 언어처리 연구실(MLP Lab)은 (1) 한국어 언어자원 설계 (2) 전통 자연어처리 (3) 멀티모달 초거대 언어모델을 연구합니다
Large Language Model (LLM) & dataset
Large Language Model (LLM) & dataset
KORMo and Bllossom: Building and Scaling the First Korean–English 10B-Scale Foundation Models from Scratch in an Academic Lab
Research and dissemination of fully open-source Korean LLMs
Efficient bilingual tokenizer design and analysis
Observing pre-training performance across diverse data composition strategies
Domain-specialized vision–language models
Knowledge transfer using agent-style teacher models
Large Language Model (LLM) & dataset based on Linguistic features
Large Language Model (LLM) & dataset based on Linguistic features
Lead of the Bllossom project. (https://www.bllossom.ai) (https://huggingface.co/MLP-KTLim/llama-3-Korean-Bllossom-8B)
Lead of the Universal Korean Language Resource project. (https://sites.google.com/view/universal-korean)
Visual language model & Video Story Understanding
Visual language model & Video Story Understanding
Visual Question Answering (VQA) is a question answering system that answers user's questions based on the input image and question.
Bllossom-V: Vision-Language Model
Bllossom-V: Vision-Language Model
What we have done (KBVQA Chatbot)
What we have done (KBVQA Chatbot)
Applied Artificial Intelligence on Robotics
Applied Artificial Intelligence on Robotics
Vision-Language-Action Model
Control of Robots Based on Speech Teaching Command
Nvidia Jetson Nano, Jet Racer, Jet racer pro
Spot (Boston Dynamics)
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