2 citations · 3 across the 5 of their papers we have counts for
5 papers
Hakim: Farsi Text Embedding Model
Mehran Sarmadi, Morteza Alikhani, Erfan Zinvandi +1
Recent advancements in text embedding have significantly improved natural language understanding across many languages, yet Persian remains notably underrepresented in large-scale…
ELAB: Extensive LLM Alignment Benchmark in Persian Language
Zahra Pourbahman, Fatemeh Rajabi, Mohammadhossein Sadeghi +5
This paper presents a comprehensive evaluation framework for aligning Persian Large Language Models (LLMs) with critical ethical dimensions, including safety, fairness, and social…
FaMTEB: Massive Text Embedding Benchmark in Persian Language
Erfan Zinvandi, Morteza Alikhani, Mehran Sarmadi +4
In this paper, we introduce a comprehensive benchmark for Persian (Farsi) text embeddings, built upon the Massive Text Embedding Benchmark (MTEB). Our benchmark includes 63 dataset…
OPSD: an Offensive Persian Social media Dataset and its baseline evaluations
Mehran Safayani, Amir Sartipi, Amir Hossein Ahmadi +4
The proliferation of hate speech and offensive comments on social media has become increasingly prevalent due to user activities. Such comments can have detrimental effects on indi…
Reducing the Computational Cost in Multi-objective Evolutionary Algorithms by Filtering Worthless Individuals
Zahra Pourbahman, Ali Hamzeh
The large number of exact fitness function evaluations makes evolutionary algorithms to have computational cost. In some real-world problems, reducing number of these evaluations i…