2 citations · 3 across the 9 of their papers we have counts for
16 papers
Neural Isomorphic Fields: A Transformer-based Algebraic Numerical Embedding
Hamidreza Sadeghi, Saeedeh Momtazi, Reza Safabakhsh
Neural network models often face challenges when processing very small or very large numbers due to issues such as overflow, underflow, and unstable output variations. To mitigate…
FarsiMCQGen: a Persian Multiple-choice Question Generation Framework
Mohammad Heydari Rad, Rezvan Afari, Saeedeh Momtazi
Multiple-choice questions (MCQs) are commonly used in educational testing, as they offer an efficient means of evaluating learners' knowledge. However, generating high-quality MCQs…
Hybrid Dialogue State Tracking for Persian Chatbots: A Language Model-Based Approach
Samin Mahdipour Aghabagher, Saeedeh Momtazi
Dialogue State Tracking (DST) is an essential element of conversational AI with the objective of deeply understanding the conversation context and leading it toward answering user…
PerHalluEval: Persian Hallucination Evaluation Benchmark for Large Language Models
Mohammad Hosseini, Kimia Hosseini, Shayan Bali +2
Hallucination is a persistent issue affecting all large language Models (LLMs), particularly within low-resource languages such as Persian. PerHalluEval (Persian Hallucination Eval…
MELAC: Massive Evaluation of Large Language Models with Alignment of Culture in Persian Language
Farhan Farsi, Farnaz Aghababaloo, Shahriar Shariati Motlagh +8
As large language models (LLMs) become increasingly embedded in our daily lives, evaluating their quality and reliability across diverse contexts has become essential. While compre…
E2TP: Element to Tuple Prompting Improves Aspect Sentiment Tuple Prediction
Mohammad Ghiasvand Mohammadkhani, Niloofar Ranjbar, Saeedeh Momtazi
Generative approaches have significantly influenced Aspect-Based Sentiment Analysis (ABSA), garnering considerable attention. However, existing studies often predict target text co…