Research

Research Area

We actively support research directions driven by students' interests, with a primary focus on Foundation Models and their diverse applications in Natural Language Processing (NLP).

Foundation Models

Model Intelligence: Pretraining, Architecture Design, and Reasoning Capabilities
Agentic AI: AI Agents, Autonomous Planning, and Tool-use
Trustworthy AI: AI Safety, Security (Adversarial Robustness), and Alignment
Reasoning & Cognitive Capabilities: Neural-Symbolic NLP and Human-like Intelligence
LLM Robustness & Evaluation: Rigorous Benchmarking for Foundation Models
RAG & Knowledge: Knowledge-Augmented LLMs and Factuality
Multimodality expansion: Beyond Text to Vision, Audio, and Unified Understanding

Natural Language Processing

Linguistic Intelligence: Advanced NLP, Machine Translation, and Tokenization
Cross-lingual NLP: Multilingual Systems and Cross-lingual Transfer Learning
Language Generation: Controllable and Structured Text Generation
Commonsense Reasoning: Knowledge-based Logic and Neural-Symbolic NLP

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