activity
20242026
most citedBenchmarking Large Language Models for Persian: A Preliminary Study Focusing on ChatGPT

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Write Once, Run Everywhere: The Axon DSL for Shape-Safe and Framework-Agnostic LLM Architectures

Jacob Nielsen, Danial Namazifard, Lukas Galke Poech +1

The entire ecosystem of open-source language models effectively relies on a single platform. What if this platform was forced to shut down tomorrow? Implementing and maintaining ef…

cs.CL2026

A Computational Approach to Language Contact -- A Case Study of Persian

Ali Basirat, Danial Namazifard, Navid Baradaran Hemmati

We investigate structural traces of language contact in the intermediate representations of a monolingual language model. Focusing on Persian (Farsi) as a historically contact-rich…

cs.CL2025

Isolating Culture Neurons in Multilingual Large Language Models

Danial Namazifard, Lukas Galke Poech

Language and culture are deeply intertwined, yet it has been unclear how and where multilingual large language models encode culture. Here, we build on an established methodology f…

cs.CL2024

Comparative Study of Multilingual Idioms and Similes in Large Language Models

Paria Khoshtab, Danial Namazifard, Mostafa Masoudi +3

This study addresses the gap in the literature concerning the comparative performance of LLMs in interpreting different types of figurative language across multiple languages. By e…

cs.CL2024★ 2 cited

Benchmarking Large Language Models for Persian: A Preliminary Study Focusing on ChatGPT

Amirhossein Abaskohi, Sara Baruni, Mostafa Masoudi +9

This paper explores the efficacy of large language models (LLMs) for Persian. While ChatGPT and consequent LLMs have shown remarkable performance in English, their efficiency for m…