collaborators

5 papers

cs.CL2026

Towards Safer RAG: Only Agents Capable of System 2 Thinking may Access Untrusted Documents

Mehrdad Ghassabi

Retrieval-Augmented Generation (RAG) has significantly enhanced the performance of large language models (LLMs), yet these systems remain vulnerable to knowledge-poisoning attacks,…

cs.CL2026

Gaokerena: A Small Persian Medical Language Model Family

Mehrdad Ghassabi, Hamidreza Baradaran Kashani, Pedram Rostami +3

The integration of artificial intelligence into medical question-answering systems has advanced rapidly; however, research remains predominantly focused on English, leaving low res…

cs.CL2026

Backtranslation Augmented Direct Preference Optimization for Neural Machine Translation

Mehrdad Ghassabi, Spehr Rajabi, Hamidreza Baradaran Kashani +3

Contemporary neural machine translation (NMT) systems are almost exclusively built by training on supervised parallel data. Despite the tremendous progress achieved, these systems…

cs.CL2026

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…