activity
20242026
collaborators

8 papers

cs.SD2026

ParsVoice: A Large-Scale Multi-Speaker Persian Speech Corpus for Text-to-Speech Synthesis

Mohammad Javad Ranjbar Kalahroodi, Heshaam Faili, Azadeh Shakery

Persian remains substantially underrepresented in open speech-text resources, limiting progress in multi-speaker text-to-speech (TTS), speech-language modelling, and low-resource s…

cs.CL2026

PersianMedQA: Evaluating Large Language Models on a Persian-English Bilingual Medical Question Answering Benchmark

Mohammad Javad Ranjbar Kalahroodi, Amirhossein Sheikholselami, Sepehr Karimi +3

Large Language Models (LLMs) have achieved remarkable performance on a wide range of Natural Language Processing (NLP) benchmarks, often surpassing human-level accuracy. However, t…

cs.CL2026

PARSA-Bench: A Comprehensive Persian Audio-Language Model Benchmark

Mohammad Javad Ranjbar Kalahroodi, Mohammad Amini, Parmis Bathayan +2

Persian poses unique audio understanding challenges through its classical poetry, traditional music, and pervasive code-switching - none captured by existing benchmarks. We introdu…

cs.CL2026

PersianPunc: A Large-Scale Dataset and BERT-Based Approach for Persian Punctuation Restoration

Mohammad Javad Ranjbar Kalahroodi, Heshaam Faili, Azadeh Shakery

Punctuation restoration is essential for improving the readability and downstream utility of automatic speech recognition (ASR) outputs, yet remains underexplored for Persian despi…

cs.CL2025

PolitiSky24: U.S. Political Bluesky Dataset with User Stance Labels

Peyman Rostami, Vahid Rahimzadeh, Ali Adibi +1

Stance detection identifies the viewpoint expressed in text toward a specific target, such as a political figure. While previous datasets have focused primarily on tweet-level stan…

cs.SI2025

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling

Vahid Rahimzadeh, Ali Hamzehpour, Azadeh Shakery +1

Social media user profiling through content analysis is crucial for tasks like misinformation detection, engagement prediction, hate speech monitoring, and user behavior modeling.…