2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.AI2025
Generalising from Self-Produced Data: Model Training Beyond Human Constraints
Alfath Daryl Alhajir, Jennifer Dodgson, Joseph Lim +4
Current large language models (LLMs) are constrained by human-derived training data and limited by a single level of abstraction that impedes definitive truth judgments. This paper…
cs.IR2023★ 2 cited
Establishing Performance Baselines in Fine-Tuning, Retrieval-Augmented Generation and Soft-Prompting for Non-Specialist LLM Users
Jennifer Dodgson, Lin Nanzheng, Julian Peh +5
Research into methods for improving the performance of large language models (LLMs) through fine-tuning, retrieval-augmented generation (RAG) and soft-prompting has tended to focus…