Papers by Reza Kazemi
FaMTEB: Massive Text Embedding Benchmark in Persian Language (2025.findings-emnlp)
Copied to clipboard
Erfan Zinvandi, Morteza Alikhani, Mehran Sarmadi, Zahra Pourbahman, Sepehr Arvin, Reza Kazemi, Arash Amini
| Challenge: | a comprehensive benchmark for Persian text embeddings is built upon the Massive Text Embedding Benchmark (MTEB) 63 datasets are included in the benchmark, including a novel task of summary retrieval. |
| Approach: | They propose a benchmark for Persian (Farsi) text embeddings built upon the Massive Text Embedding Benchmark. |
| Outcome: | The proposed framework includes 63 datasets spanning seven different tasks . the evaluation datasets were rigorously evaluated by humans and automated systems . |