RIML Lab

Project Description:
This project is a collaborative effort between Dr. Rohban, Dr. Soleymani, and Dr. Asgari. Together, we aim to push the boundaries of language model evaluation for the Persian language. In this project, our primary goal is to benchmark and develop innovative methods for evaluating language models on the Persian language both robustly and comprehensively. Our approach will encompass both static and dynamic assessments to ensure thorough analysis. This initiative seeks to advance the field by addressing unique challenges posed by Persian language processing.

For more in-depth insights, please refer to the following papers:

"Khayyam Challenge (PersianMMLU): Is Your LLM Truly Wise to The Persian Language?"

Requirments:
Familiarity with LLM Concepts: Understanding the fundamentals and advancements in large language models.
Deep Learning Expertise: Practical knowledge and experience in deep learning techniques.
PyTorch Proficiency: Hands-on experience with the PyTorch framework is essential.
Commitment: Ability to dedicate significant time and maintain consistency throughout the project.


To apply for this position, please read the suggested papers and send your resume along with a brief summary of your research interests to [email protected]. We are eager to hear from motivated individuals who are passionate about advancing language model evaluation.

For any inquiries, feel free to reach out to us via the above email.

#open_position
#research_application

www.tgoop.com/RIMLLab/114

3.0K viewsمحراب مرادزاده, Jul 11, 2024 at 11:14

Project Description:
This project is a collaborative effort between Dr. Rohban, Dr. Soleymani, and Dr. Asgari. Together, we aim to push the boundaries of language model evaluation for the Persian language. In this project, our primary goal is to benchmark and develop innovative methods for evaluating language models on the Persian language both robustly and comprehensively. Our approach will encompass both static and dynamic assessments to ensure thorough analysis. This initiative seeks to advance the field by addressing unique challenges posed by Persian language processing.

For more in-depth insights, please refer to the following papers:

"Khayyam Challenge (PersianMMLU): Is Your LLM Truly Wise to The Persian Language?"

Requirments:
Familiarity with LLM Concepts: Understanding the fundamentals and advancements in large language models.
Deep Learning Expertise: Practical knowledge and experience in deep learning techniques.
PyTorch Proficiency: Hands-on experience with the PyTorch framework is essential.
Commitment: Ability to dedicate significant time and maintain consistency throughout the project.


To apply for this position, please read the suggested papers and send your resume along with a brief summary of your research interests to [email protected]. We are eager to hear from motivated individuals who are passionate about advancing language model evaluation.

For any inquiries, feel free to reach out to us via the above email.

#open_position
#research_application

BY RIML Lab