activity
20242026
most citedPersianMind: A Cross-Lingual Persian-English Large Language Model

3 citations · 3 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CL2026

Single-Pass Uncertainty Heads for Claim-Level Hallucination Detection in Persian Medical Language Models

Mehrdad Ghassabi, Pedram Rostami, Hamidreza Baradaran Kashani +2

Hallucination detection is particularly important for medical language models, but repeated-sampling approaches are computationally expensive. A faster alternative is a single-pass…

cs.CL2026

Gaokerena: A Small Persian Medical Language Model Family

Mehrdad Ghassabi, Hamidreza Baradaran Kashani, Pedram Rostami +5

Persian medical NLP is limited by scarce domain-specific resources and insufficient characterization of their coverage, quality, and limitations. We present Gaokerena, a suite of P…

cs.CL2025

Enhancing Reasoning Skills in Small Persian Medical Language Models Can Outperform Large-Scale Data Training

Mehrdad Ghassabi, Sadra Hakim, Hamidreza Baradaran Kashani +1

Enhancing reasoning capabilities in small language models is critical for specialized applications such as medical question answering, particularly in underrepresented languages li…

cs.CL2025

Leveraging Online Data to Enhance Medical Knowledge in a Small Persian Language Model

Mehrdad Ghassabi, Pedram Rostami, Hamidreza Baradaran Kashani +3

The rapid advancement of language models has demonstrated the potential of artificial intelligence in the healthcare industry. However, small language models struggle with speciali…

cs.CL2024

CULL-MT: Compression Using Language and Layer pruning for Machine Translation

Pedram Rostami, Mohammad Javad Dousti

Multilingual machine translation models often outperform traditional bilingual models by leveraging translation knowledge transfer. Recent advancements have led to these models sup…

cs.CL2024★ 3 cited

PersianMind: A Cross-Lingual Persian-English Large Language Model

Pedram Rostami, Ali Salemi, Mohammad Javad Dousti

Large language models demonstrate remarkable proficiency in various linguistic tasks and have extensive knowledge across various domains. Although they perform best in English, the…