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Holy Lovenia

Holy Lovenia has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Low-resource languages; often with Samuel Cahyawijaya, Bryan Wilie, Dan Su.

2 papers in our library · 2023–2024

OpenAlex · ORCID · h-index 10 · 66 works · 1,270 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 823 times in our library · 5 more in our library without a page yet · ⭐ Paper Stars ranking: #2263

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

🎓Hong Kong University of Science and TechnologyHong Kong · Hong Kong2021–2023 · 22 papersEducation🏛️AI SingaporeSingapore · Singapore2024 · 2 papers

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

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 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 7Research subjects and languages the work is about.Evaluation & benchmarks · 1 workMultilingual & cross-lingual NLP · 1 workReasoning · 1 workVision & language · 1 workGrammatical error correction & learner language · 1 workLanguage models & pretraining · 1 workLow-resource languages · 1 work

 Works by year

2020s

20241 paperLLMs Are Few-Shot In-Context Low-Resource Language Learners20231 paperA Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity

 Papers

The most cited first (OpenAlex and our library).

  1. A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity (2023 · 876 citations)
    In early 2023 there were no public benchmark results for ChatGPT. Most of what people knew about its strengths and failures came from anecdotes. The authors built a reproducible, zero-shot framework that uses public test sets to measure what this kind of interactive LLM can and cannot do. They tested the 15 December…
  2. LLMs Are Few-Shot In-Context Low-Resource Language Learners (2024 · 92 citations)
    Large language models handle low-resource languages poorly, and adapting them through fine-tuning or adapters is expensive and can cause catastrophic forgetting.

All works

7 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. A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and InteractivityarXiv:2302.04023Yejin Bang, Samuel Cahyawijaya, Nayeon Lee, et al.2023 · 876 citations
  2. LLMs Are Few-Shot In-Context Low-Resource Language LearnersConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Samuel Cahyawijaya, Holy Lovenia, Pascale Fung2024 · 92 citations
  3. CVQA: Culturally-diverse Multilingual Visual Question Answering BenchmarkarXiv:2406.05967 · original ↗ · no summary yetDavid Romero et al.2024 · 87 citations
  4. SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian LanguagesProceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · original ↗ · no summary yetHoly Lovenia et al.2024 · 54 citations
  5. Prompting Multilingual Large Language Models to Generate Code-Mixed Texts: The Case of South East Asian LanguagesarXiv:2303.13592 · original ↗ · no summary yetZheng-Xin Yong et al.2023 · 48 citations
  6. WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global CuisinesProceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · original ↗ · no summary yetGenta Indra Winata et al.2025 · 45 citations
  7. InstructAlign: High-and-Low Resource Language Alignment via Continual Crosslingual Instruction TuningarXiv:2305.13627 · original ↗ · no summary yetSamuel Cahyawijaya et al.2023 · 22 citations

 Co-authors here

10 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 823 times (of the 141,840 papers whose bibliographies we read); 105 citing papers with a page here →.

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