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Muhammad Ravi Shulthan Habibi

Muhammad Ravi Shulthan Habibi has 2 papers in our library, in 2024–2026, most of them on Multilingual & cross-lingual NLP, Language models & pretraining, Evaluation & benchmarks; often with Holy Lovenia, Joanito Agili Lopo, Joel Ruben Antony Moniz.

2 papers in our library · 2024–2026

OpenAlex · h-index 2 · 14 works · 13 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 48 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7691

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of IndonesiaDepok · Indonesia2025–2026 · 2 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 5Research subjects and languages the work is about.Multilingual & cross-lingual NLP · 2 worksEvaluation & benchmarks · 1 workVision & language · 1 workLanguage models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages (2024 · 54 citations)
    Southeast Asia is home to more than 1,300 indigenous languages, yet the region's text, speech and image data is thinly represented in the corpora that train modern AI systems.
  2. ITLC at SemEval-2026 Task 11: Normalization and Deterministic Parsing for Formal Reasoning in LLMs (2026 · 1 citation)
    Large language models often decide whether a syllogism is valid based on how plausible its content sounds rather than on its logical form. This content effect is worse in multilingual settings. The ITLC team's SemEval-2026 Task 11 system tackles it by splitting the work between an LLM and a symbolic step:

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian LanguagesConference on Empirical Methods in Natural Language Processing (EMNLP)Holy Lovenia, Rahmad Mahendra, Salsabil Maulana Akbar, et al.2024 · 54 citations
  2. ITLC at SemEval-2026 Task 11: Normalization and Deterministic Parsing for Formal Reasoning in LLMsInternational Workshop on Semantic Evaluation (SemEval)Wicaksono Leksono Muhamad, Joanito Agili Lopo, Tack Hwa Wong, et al.2026 · 1 citation
  3. Last Translation Benchmark ↗arXiv:2609.04173 · no summary yetVilem Zouhar et al.2026

 Co-authors here

8 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 48 times (of the 149,439 papers whose bibliographies we read); 10 citing papers with a page here →.

Updated

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