Welcome to the MonashNLP Lab
The Natural Language Processing (NLP) group at Monash University is a dynamic team of researchers and students dedicated to advancing the field of artificial intelligence and language technology. Based in Melbourne, Australia, our group is part of the Department of Data Science and AI - Faculty of Information Technology at Monash University.
Our mission is to develop groundbreaking algorithms and models that bridge the gap between human language and machine understanding, with a particular focus on Generative Artificial Intelligence (GenAI). Our work spans the spectrum from foundational research to real-world applications, focusing on:
- Neuro-Symbolic AI Agents, e.g. integrating LLMs and symbolic methods for multi-modal agents that operate/learn by perception, planning, acting, and feeback
- Machine Learning, e.g. deep generative models, Bayesian learning and inference, deep causal models, explainable AI, deep reinforcement learning
- Knowledge Graphs and LLMs, e.g. effective approaches for hybrid LLM-KG reasoning, certifying LLM knwoledge/reasoning
- Efficient and effective LLMs, e.g. better architectures, better decoding/inference, better training algorithms (long-context LLMs, KV-caching)
- Continual Learning, e.g. LLM knwoledge editing, retreival augmented generation (RAG)
- Reliable and Safe LLMs, e.g. alignment algorithms (RLHF), social-cultural norms, jailbreaking and defence mechanisms
- Multilingual and Multimodal Foundation Models, e.g. covering low-resource languages, speech/video/text/code modalities
- Real-life Applications, e.g. text/speech/document translation, question-answering, coding, dialogue systems
We are looking for passionate new PhD students, Postdocs, and Master students to join the team (more info) !