3 citations · 5 across the 7 of their papers we have counts for
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Zero-Shot Learning and Key Points Are All You Need for Automated Fact-Checking
Mohammad Ghiasvand Mohammadkhani, Ali Ghiasvand Mohammadkhani, Hamid Beigy
Automated fact-checking is an important task because determining the accurate status of a proposed claim within the vast amount of information available online is a critical challe…
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…
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…
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…