1 citations · 1 across the 4 of their papers we have counts for
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Improving Training Efficiency and Reducing Maintenance Costs via Language Specific Model Merging
Alphaeus Dmonte, Vidhi Gupta, Daniel J Perry +1
Fine-tuning a task-specific multilingual large language model (LLM) involves training the model on a multilingual dataset with examples in all the required languages. Updating one…
Exploring the Performance of Large Language Models on Subjective Span Identification Tasks
Alphaeus Dmonte, Roland Oruche, Tharindu Ranasinghe +2
Identifying relevant text spans is important for several downstream tasks in NLP, as it contributes to model explainability. While most span identification approaches rely on relat…
Claim Verification in the Age of Large Language Models: A Survey
Alphaeus Dmonte, Roland Oruche, Marcos Zampieri +2
The large and ever-increasing amount of data available on the Internet coupled with the laborious task of manual claim and fact verification has sparked the interest in the develop…
Towards Generalized Offensive Language Identification
Alphaeus Dmonte, Tejas Arya, Tharindu Ranasinghe +1
The prevalence of offensive content on the internet, encompassing hate speech and cyberbullying, is a pervasive issue worldwide. Consequently, it has garnered significant attention…
Classifying Human-Generated and AI-Generated Election Claims in Social Media
Alphaeus Dmonte, Marcos Zampieri, Kevin Lybarger +2
Politics is one of the most prevalent topics discussed on social media platforms, particularly during major election cycles, where users engage in conversations about candidates an…