Thesis
Developing trustworthy language models with consistent predictions
- Abstract:
-
Transformer-based Pre-trained Language Models (PLMs), which are trained with a vast amount of natural language text, have significantly propelled the rapid progress in the field of Natural Language Processing (NLP). These models have been effectively employed across diverse downstream tasks in various ways, such as fine-tuning or few-shot learning. Notably, they have demonstrated promising performance, even surpassing human capabilities in several downstream tasks. Derived from these outstand...
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Authors
Contributors
+ Lukasiewicz, T
- Institution:
- University of Oxford
- Division:
- MPLS
- Department:
- Computer Science
- Role:
- Supervisor
- ORCID:
- 0000-0002-7644-1668
+ Cuenca Grau, B
- Institution:
- University of Oxford
- Division:
- MPLS
- Department:
- Computer Science
- Role:
- Supervisor
- DOI:
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
- Language:
-
English
- Keywords:
- Subjects:
- Deposit date:
-
2025-04-14
Terms of use
- Copyright holder:
- Myeongjun Erik Jang
- Copyright date:
- 2024
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