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Panuthep Tasawong

Panuthep Tasawong has 2 papers in our library, in 2026, most of them on Bias, fairness & safety, Multilingual & cross-lingual NLP, Evaluation & benchmarks; often with Alham Fikri Aji, Jian Gang Ngui, Peerat Limkonchotiwat.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 2 · 22 works · 15 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 14 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #12175

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

🎓Vidyasirimedhi Institute of Science and TechnologyRayong · Thailand2022–2026 · 12 papersEmployment · School of Information Science and Technologycurrent🏢GoogleMountain View · United States2026 · 4 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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksSafety Research · 2 worksSocial Sciences · 2 works

🧭 Topics 3Research subjects and languages the work is about.Bias, fairness & safety · 2 worksEvaluation & benchmarks · 1 workMultilingual & cross-lingual NLP · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. SEA-Guard: Culturally Grounded Multilingual Safeguard for Southeast Asia (2026)
    Most safety classifiers that screen LLM inputs and outputs are built for English. Multilingual ones usually depend on machine-translated English data, which serves Southeast Asian languages poorly and misses local cultural, religious and regulatory sensitivities. The authors address this gap with an agentic synthesis…
  2. SEA-SafeguardBench: Culturally Grounded Safety Benchmark for Southeast Asian Languages (2026)
    Safeguard models that screen LLM inputs and outputs for harm are mostly tested in English. Multilingual safety benchmarks usually rely on machine translation, which can distort low-resource languages and miss local cultural risks. Southeast Asia has especially little coverage. SEA-SafeguardBench addresses this gap…

All works

4 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. NitiBench: Benchmarking LLM Frameworks on Thai Legal Question Answering Capabilities ↗Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yetPawitsapak Akarajaradwong et al.2025 · 16 citations
  2. NitiBench: A Comprehensive Study of LLM Framework Capabilities for Thai Legal Question Answering ↗arXiv:2502.10868 · no summary yetPawitsapak Akarajaradwong et al.2025 · 4 citations
  3. SEA-Guard: Culturally Grounded Multilingual Safeguard for Southeast AsiaFindings of the Association for Computational LinguisticsPanuthep Tasawong, Jian Gang Ngui, Alham Fikri Aji, et al.2026
  4. SEA-SafeguardBench: Culturally Grounded Safety Benchmark for Southeast Asian LanguagesFindings of the Association for Computational LinguisticsPanuthep Tasawong, Jian Gang Ngui, Alham Fikri Aji, et al.2026

 Co-authors here

4 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 14 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

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