Projects per year
Personal profile
Research interests
Dr. Tayyar Madabushi's research focuses on understanding the fundamental mechanisms that underpin the performance and functioning of Large Language Models such as ChatGPT. His work was included in the discussion paper on the Capabilities and Risks of Frontier AI, which was used as one of the foundational research works for discussions at the UK AI Safety Summit held at Bletchley Park. His research on the constructional information encoded in language models has been influential in bringing together the fields of construction grammar and pre-trained language models. In addition, his work on language models includes collaborative industrial research aimed at rectifying biases in speech-to-text systems widely utilised across the UK. Before starting his PhD in automated question answering at the University of Birmingham, Dr. Tayyar Madabushi founded and headed a social media data analytics company based out of Singapore.
Publication record on Google Scholar.
Willing to supervise doctoral students
I am looking for highly motivated students for a PhD in Natural Language Processing at the University of Bath.
AVAILABLE PROJECTS
Eligible and highly motivated students are strongly encouraged to get in touch: htm43 AT bath.ac.uk
Neuro-Symbolic Artificial Intelligence for Efficient and Interpretable Natural Language Understanding
- Apply for the International and UK Studentship funded by ART-AI
Explainable Natural Language Processing for the Analysis of Online Discourse
- Apply for the International and UK Studentship funded by ART-AI
Explainability in Multimodal Deep Learning: Transparent Fusion of Text and Images
- Apply for the International and UK Studentship funded by ART-AI
External positions
Honorary Research Fellow, University of Birmingham
15 Mar 2021 → 14 Mar 2024
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Collaborations and top research areas from the last five years
Projects
- 1 Finished
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Wyser: Reducing Bias in ASR
Tayyar Madabushi, H. (PI)
Innovate UK, Innovate UK Business Connect
1/02/24 → 28/02/25
Project: Central government, health and local authorities
Research output
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Are Emergent Abilities in Large Language Models just In-Context Learning?
Lu, S., Bigoulaeva, I., Sachdeva, R. S., Tayyar Madabushi, H. & Gurevych, I., 31 Aug 2024, Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics. Ku, L.-W., Martins, A. & Srikumar, V. (eds.). Long Papers ed. Bangkok, Thailand: Association for Computational Linguistics, Vol. 1. p. 5098–5139 42 p. 2024.acl-long.279Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding
Open Access3 Citations (SciVal) -
CxGBERT: BERT meets Construction Grammar
Tayyar Madabushi, H., Romain, L., Divjak, D. & Milin, P., 1 Dec 2020, Proceedings of the 28th International Conference on Computational Linguistics. Barcelona, Spain (Online): International Committee on Computational Linguistics (ICCL), p. 4020-4032 13 p. 2020.coling-main.355Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding
Open Access25 Citations (SciVal) -
Large language models in healthcare information research: making progress in an emerging field
Tayyar Madabushi, H. & Jones, M., 28 Feb 2025, In: BMJ Quality and Safety. 34, 2, p. 73-76 4 p.Research output: Contribution to journal › Editorial
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Adjudicating LLMs as PropBank Annotators
Bonn, J., Madabushi, H. T., Hwang, J. D. & Bonial, C., 21 May 2024, 5th International Workshop on Designing Meaning Representation, DMR 2024 at LREC-COLING 2024 - Workshop Proceedings. Bonial, C., Bonn, J. & Hwang, J. D. (eds.). European Language Resources Association (ELRA), p. 112-123 12 p. (5th International Workshop on Designing Meaning Representation, DMR 2024 at LREC-COLING 2024 - Workshop Proceedings).Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding
Open AccessFile1 Citation (SciVal)51 Downloads (Pure) -
Constructing understanding: on the constructional information encoded in large language models
Bonial, C. & Tayyar Madabushi, H., 20 Dec 2024, (E-pub ahead of print) In: Language Resources and Evaluation.Research output: Contribution to journal › Article › peer-review
Open Access