Papers by MohammadAli SadraeiJavaheri
MorphBPE: Morphology-Aware Tokenization for Efficient LLM Training (2026.findings-acl)
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| Challenge: | Tokenization is a key design choice in modern NLP systems and a critical bottleneck for multilingual Large Language Models. |
| Approach: | They propose a tokenization extension that constrains merge operations to respect morpheme boundaries while preserving inference. |
| Outcome: | The proposed tokenization improves morphological coherence and language model cross-entropy in four languages. |
Transformers for Bridging Persian Dialects: Transliteration Model for Tajiki and Iranian Scripts (2024.lrec-main)
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| Challenge: | Despite its profound linguistic and cultural significance, Tajiki Persian remains a low-resource language with scant digitized datasets for computational applications. |
| Approach: | They propose to use Shahnameh, a seminal Persian epic poem, to train and assess Tajiki Persian transliteration models using two prominent sequence-to-sequence architectures: GRU with attention and transformer. |
| Outcome: | The proposed model outperforms pre-trained models with attention and transformer. |
The Touché23-ValueEval Dataset for Identifying Human Values behind Arguments (2024.lrec-main)
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Nailia Mirzakhmedova, Johannes Kiesel, Milad Alshomary, Maximilian Heinrich, Nicolas Handke, Xiaoni Cai, Valentin Barriere, Doratossadat Dastgheib, Omid Ghahroodi, MohammadAli SadraeiJavaheri, Ehsaneddin Asgari, Lea Kawaletz, Henning Wachsmuth, Benno Stein
| Challenge: | Cultural norms can influence the prioritization of values, leading to distinct perspectives on debatable topics. |
| Approach: | They present a Touché23-ValueEval dataset that annotates 4780 new arguments and annotated 54 human values. |
| Outcome: | The Touché23-ValueEval dataset doubles the original Webis-ArgValués-22 dataset to 9324 arguments. |