3 papers
cs.CL2025
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…
cs.CL2025
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…
cs.CL2025
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…