3 papers
cs.CL2025
H-Net++: Hierarchical Dynamic Chunking for Tokenizer-Free Language Modelling in Morphologically-Rich Languages
Mehrdad Zakershahrak, Samira Ghodratnama
Byte-level language models eliminate fragile tokenizers but face computational challenges in morphologically-rich languages (MRLs), where words span many bytes. We propose H-NET++,…
cs.AI2024
Explanation, Debate, Align: A Weak-to-Strong Framework for Language Model Generalization
Mehrdad Zakershahrak, Samira Ghodratnama
The rapid advancement of artificial intelligence systems has brought the challenge of AI alignment to the forefront of research, particularly in complex decision-making and task ex…
cs.IR2024
SumRecom: A Personalized Summarization Approach by Learning from Users' Feedback
Samira Ghodratnama, Mehrdad Zakershahrak
Existing multi-document summarization approaches produce a uniform summary for all users without considering individuals' interests, which is highly impractical. Making a user-spec…