most citedFaBERT: Pre-training BERT on Persian Blogs

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2024

Consistency Training by Synthetic Question Generation for Conversational Question Answering

Hamed Hematian Hemati, Hamid Beigy

Efficiently modeling historical information is a critical component in addressing user queries within a conversational question-answering (QA) context, as historical context plays…

cs.CL2024

Multi-BERT: Leveraging Adapters and Prompt Tuning for Low-Resource Multi-Domain Adaptation

Parham Abed Azad, Hamid Beigy

The rapid expansion of texts' volume and diversity presents formidable challenges in multi-domain settings. These challenges are also visible in the Persian name entity recognition…

cs.CG2024

Approximating Simplet Frequency Distribution for Simplicial Complexes

Hamid Beigy, Mohammad Mahini, Salman Qadami +1

Simplets, constituting elementary units within simplicial complexes (SCs), serve as foundational elements for the structural analysis of SCs. Previous efforts have focused on the e…

cs.CL20243 cited

FaBERT: Pre-training BERT on Persian Blogs

Mostafa Masumi, Seyed Soroush Majd, Mehrnoush Shamsfard +1

We introduce FaBERT, a Persian BERT-base model pre-trained on the HmBlogs corpus, encompassing both informal and formal Persian texts. FaBERT is designed to excel in traditional Na…

stat.ML2014

Cascading Randomized Weighted Majority: A New Online Ensemble Learning Algorithm

Mohammadzaman Zamani, Hamid Beigy, Amirreza Shaban

With the increasing volume of data in the world, the best approach for learning from this data is to exploit an online learning algorithm. Online ensemble methods are online algori…