1 citations · 1 across the 3 of their papers we have counts for
3 papers
Grammar-Guided Evolutionary Search for Discrete Prompt Optimisation
Muzhaffar Hazman, Minh-Khoi Pham, Shweta Soundararajan +10
Prompt engineering has proven to be a crucial step in leveraging pretrained large language models (LLMs) in solving various real-world tasks. Numerous solutions have been proposed…
Why Don't Prompt-Based Fairness Metrics Correlate?
Abdelrahman Zayed, Goncalo Mordido, Ioana Baldini +1
The widespread use of large language models has brought up essential questions about the potential biases these models might learn. This led to the development of several metrics a…
Fairness-Aware Structured Pruning in Transformers
Abdelrahman Zayed, Goncalo Mordido, Samira Shabanian +2
The increasing size of large language models (LLMs) has introduced challenges in their training and inference. Removing model components is perceived as a solution to tackle the la…