M. Reza Qorib

M. Reza Qorib

Reza is a postdoctoral fellow at Carnegie Mellon University. He completed his PhD at NUS under Professor Hwee Tou Ng, focusing on system combination and mixtures of experts for grammatical error correction, and continued working as a research fellow on the multilinguality of large language models. He actively contributes to the community through the SEACrowd projects, the ACL Special Interest Group on Southeast Asian NLP (SIGSEA), and by serving as a reviewer for ACL Rolling Review, AAAI, and other NLP conferences and journals.

mrqorib [at] cmu.edu

Research Topics

Large Language Models 6

Word Sense Disambiguation 1

Grammatical Error Correction 7

Speech Recognition 1

Just Go Parallel: Improving the Multilingual Capabilities of Large Language Models

Muhammad Reza Qorib, Junyi Li, Hwee Tou Ng

Annual Meeting of the Association for Computational Linguistics (ACL). 2025

Large Language Models

Crowdsource, Crawl, or Generate? Creating SEA-VL, a Multicultural Vision-Language Dataset for Southeast Asia

Samuel Cahyawijaya, ..., Muhammad Reza Qorib, ..., Peerat Limkonchotiwat

Annual Meeting of the Association for Computational Linguistics (ACL). 2025

Large Language Models

Just what you desire: constrained timeline summarization with self-reflection for enhanced relevance

Muhammad Reza Qorib, Qisheng Hu, Hwee Tou Ng

Annual Meeting of the Association for Computational Linguistics (ACL). 2025

Large Language Models

SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages

Holy Lovenia, ..., Muhammad Reza Qorib, ..., Sebastian Ruder, William Tjhi

Conference on Empirical Methods in Natural Language Processing (EMNLP). 2024

Large Language Models

Efficient and Interpretable Grammatical Error Correction with Mixture of Experts

Muhammad Reza Qorib, Alham Fikri Aji, and Hwee Tou Ng

Findings of the Conference on Empirical Methods in Natural Language Processing (EMNLP). 2024

Large Language Models

Grammatical Error Correction