3 papers
cs.CL2026
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…
cs.CL2026
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…
cs.CL2025
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…