Winning with Less for Low-Resource Languages: Advantage of Cross-Lingual English–Persian Argument Mining Model over LLM Augmentation
Cross-lingual English–Persian training can outperform LLM-based augmentation for low-resource argument mining.
🚀Ali Jahan
(he/him)
Computer Engineering Student
About
I am a B.Sc. Computer Engineering student at Amirkabir University of Technology (Tehran Polytechnic). My research interests lie at the intersection of Large Language Models, Natural Language Processing, and Information Retrieval, with a focus on data-efficient learning, robust evaluation, and building reliable language technologies for low-resource settings. I plan to continue this academic and research path through graduate study. Fun fact about me: I enjoy music, especially piano, and I also love playing football.
Education
B.Sc Computer Science
Amirkabir University of Technology (Tehran Polytechnic)
Interests
Machine Learning
Large Language Models
Natural Language Processing
Information Retrieval
📚 My Research
Use this area to speak to your mission. I’m a research scientist in the Moonshot team at DeepMind. I blog about machine learning, deep learning, and moonshots.
I apply a range of qualitative and quantitative methods to comprehensively investigate the role of science and technology in the economy.
Please reach out to collaborate 😃
Featured Publications
A Note on the Lower Bounds for the Energy of Graphs
New lower bounds on graph energy under forbidden-cycle and degree constraints, including bounds via vertex cover number.
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