🧑‍🔬 Potsawee Manakul

🏛️ Affiliations

🎓Stanford UniversityStanford · United States2025–2026 · 2 paperscurrent🎓University of CambridgeCambridge · United Kingdom2015–2024 · 18 papersEducation 2015–2019 · B.A. and M.Eng., EngineeringEducation 2019–2024 · PhD in Engineering, EngineeringEmployment 2019–2024 · PhD Student, Engineering

🏛️SCB 10XBangkok · Thailand2023Employment since 2023 · Senior Research Scientist, R&D

🏢AmazonBerlin · Germany2021–2022Employment 2021–2022 · Applied Scientist Intern, Applied Science

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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. LLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise Comparisons using Large Language Models (2024 · 87 citations)
   Judging the quality of generated text usually depends on costly human annotation or on metrics built for a single task and attribute.
2. AudioJudge: Understanding What Works in Large Audio Model Based Speech Evaluation (2026 · 3 citations)
   Evaluating generated speech usually requires a separate trained model for each property, such as quality, speaker identity or prosody.

All works

5 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. SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetPotsawee Manakul, Adian Liusie, Mark Gales2023 · 1,045 citations
2. LLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise Comparisons using Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Adian Liusie, Potsawee Manakul, Mark Gales2024 · 87 citations
3. Mind the Gap: Static and Interactive Evaluations of Large Audio Models ↗Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetMinzhi Li et al.2025 · 4 citations
4. AudioJudge: Understanding What Works in Large Audio Model Based Speech EvaluationConference of the European Chapter of the Association for Computational Linguistics (EACL)Potsawee Manakul, Woody Haosheng Gan, Michael J Ryan, et al.2026 · 3 citations
5. Scaling Open Discrete Audio Foundation Models with Interleaved Semantic, Acoustic, and Text Tokens ↗arXiv (Cornell University) · no summary yetPotsawee Manakul et al.2026 · 1 citation

🤝 Co-authors here

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

• Adian Liusie
• Diyi Yang
• Mark Gales
• Michael J Ryan
• William Held

Venues

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

• Conference of the European Chapter of the Association for Computational Linguistics (EACL) ×2: EACL 2026, EACL 2024
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
• Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

🔗 Cited by

Papers of our library cite their works 608 times (of the 149,439 papers whose bibliographies we read); 147 citing papers with a page here →.

Updated 31 October 2026

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