1 citations · 1 across the 6 of their papers we have counts for
6 papers
XHotpotQA: A Benchmark for Cross-Lingual Knowledge Composition in Multi-Hop Question Answering
Iman Barati, Arash Ghafouri, Behrouz Minaei-Bidgoli
Knowledge-intensive multi-hop question answering requires systems to select evidence and compose dependent facts, yet multilingual benchmarks usually translate an entire example in…
IHUBERT: Vector-Based Semantic Deduplication and Domain-Balanced Pretraining for Persian Resources
Arash Ghafouri, Mahdi Firouzmandi, Hossein Saberi +1
Persian pretrained language models (PLMs) are still limited by the scarcity of large-scale, high-quality pretraining corpora and by insufficient evaluation beyond standard classifi…
A Method for Multi-Hop Question Answering on Persian Knowledge Graph
Arash Ghafouri, Mahdi Firouzmandi, Hasan Naderi
Question answering systems are the latest evolution in information retrieval technology, designed to accept complex queries in natural language and provide accurate answers using b…
Bactrainus: Optimizing Large Language Models for Multi-hop Complex Question Answering Tasks
Iman Barati, Arash Ghafouri, Behrouz Minaei-Bidgoli
Multi-hop question answering requires a system to identify and integrate evidence distributed across documents, yet large language models remain vulnerable to irrelevant context. W…
PersianLLaMA: Towards Building First Persian Large Language Model
Mohammad Amin Abbasi, Arash Ghafouri, Mahdi Firouzmandi +2
Despite the widespread use of the Persian language by millions globally, limited efforts have been made in natural language processing for this language. The use of large language…
IslamicPCQA: A Dataset for Persian Multi-hop Complex Question Answering in Islamic Text Resources
Arash Ghafouri, Hasan Naderi, Mohammad Aghajani asl +1
Nowadays, one of the main challenges for Question Answering Systems is to answer complex questions using various sources of information. Multi-hop questions are a type of complex q…