연구실 소개
Pioneering research in Language Intelligence & Representation
연구 분야 (Research Areas)
Toward the vision of All Languages, One Mind, we focus on the following research topics.
Language Models & World Models
We develop and analyze language models to study how scale, structure, and representations support reasoning, generalization, controllability, and world modeling.
Thinking & Reasoning
We study the internal representations and processes that enable language models to perform multi-step thinking and reasoning, aiming to interpret how conclusions are formed and fail.
Hallucination Detection & Mitigation
We investigate hallucination as a representational and epistemic failure in language models, developing methods to detect, analyze, and mitigate ungrounded or misleading generations.
Model Editing
We explore model editing as a means of modifying internal knowledge representations, enabling correction, updating, and control of language model behavior without retraining.
Multilingual & Multimodality
We study how language models represent and align meaning across languages and modalities, with the goal of building unified models that generalize beyond linguistic and modal boundaries.
AI Agents
We design and analyze language-model-based AI agents, focusing on how internal representations support planning, decision-making, and interaction in dynamic environments.