133 citations · 152 across the 11 of their papers we have counts for
4 papers · 1 filter
The Role of Dataset Linguistic Structure in the Cultural Awareness of Large Language Models
Reem I. Masoud, Chen Feng, Shunta Asano +3
The global deployment of large language models (LLMs) has raised concerns about cultural misalignment, yet the linguistic properties of fine-tuning datasets used for cultural adapt…
Cultural Alignment in Large Language Models Using Soft Prompt Tuning
Reem I. Masoud, Martin Ferianc, Philip Treleaven +1
Large Language Model (LLM) alignment is commonly achieved through supervised fine-tuning or reinforcement learning, both of which require labeled or preference data and update mode…
The Effect of Model Size on LLM Post-hoc Explainability via LIME
Henning Heyen, Amy Widdicombe, Noah Y. Siegel +2
Large language models (LLMs) are becoming bigger to boost performance. However, little is known about how explainability is affected by this trend. This work explores LIME explanat…
Twitter Sentiment Analysis: Lexicon Method, Machine Learning Method and Their Combination
Olga Kolchyna, Tharsis T. P. Souza, Philip Treleaven +1
This paper covers the two approaches for sentiment analysis: i) lexicon based method; ii) machine learning method. We describe several techniques to implement these approaches and…