Their joint research focuses on integrating probabilistic answer set programs (P-ASP) with large language models to enable knowledge-grounded, logical, and robust reasoning from user prompts, especially in complex and uncertain domains.
Current PhD Students
Maeve Hutchinson, PhD student Maeve's PhD looks at the problem of Visual Analytics and Data Visualisation modulated by Natural Language—building natural language interfaces for data visualisation—a multimodal challenge.
Alex Clay, PhD student Alex Clay's PhD looks at Information Structuring and its Impact on Generated Outputs in the context of generative models like LLMs.
Monica Visani, PhD student Monica's research focuses on supporting users interacting with conversational Generative AIs, minimising potential harms and maximising benefits.
Mohammad Albinhassan, PhD student Mohammad's work looks at scaffolding LLMs with symbolic approaches with guarantees on validity and correctness.
India-Jane Barry, PhD student India-Jane Barry is working on aspects of generative AI models in the domain of computer networks and cybersecurity.
Syed Huq, PhD student Syed Huq is working on generalising RAG for open domains.
Alumni
Rishabh Upadhyay, Postdoctoral Researcher (Alumnus) Using RAG-based frameworks for knowledge-grounded retrieval and generation in large language models.
Hadeel Al-Negheimish (PhD student) → CSAIL MIT Hadeel worked on automating numerical question answering with neuro-symbolic approaches.
Chenxi Whitehouse (PhD student) → Cambridge → Meta Chenxi worked on integrating knowledge for multimodal & multilingual NLP.
Nadine El Naggar (PhD student) → MBZUAI Nadine worked on Theoretical and Practical Aspects of Counting Behaviour in RNNs.
Chiraag Lala (PhD student) → Imperial College London Chiraag worked on Grounded Word Sense Translation.