About Me

Hello, I'm Punpun! I am currently an HAI visiting
scholar at the Stanford NLP Group, working on
mulitmodal (audio/speech) LLM research with Diyi Yang.
I am also a founding team member of Typhoon, an AI lab
supported by SCB 10X to advance Thai AI models
(e.g., LLM, ASR, TTS), where I currently focus on audio/speech models.
I completed my PhD in May 2024 from the University of Cambridge, supervised by Mark Gales on summarization and
factual consistency of NLG. Previously, I had a research internship at Amazon, and I
hold a B.A. and an M.Eng. from the University of Cambridge.
Recent Projects
My recent projects cover the following themes:
- Multimodal, Audio, Speech: AudioJudge, TalkArena, Low-Resource AudioLLM, ASR Error Correction with LLM
- NLG Evaluation, Factuality, AI Safety: SelfCheckGPT, CrossCheckGPT, MQAG, LLM Comparative Assessment, SkillAggregation, Unlearning vs. Obfuscation
- Typhoon Project (opentyphoon.ai): Typhoon-TTS, Typhoon2-Audio, Typhoon2-LLM, Typhoon-Audio, Typhoon-LLM, Thai-HELM
News
Selected Publications
A complete list of publications is available on Google Scholar
-
Enhancing Low-Resource Language and
Instruction Following Capabilities of Audio Language Models
Potsawee Manakul, Guangzhi Sun, Warit Sirichotedumrong, Kasima
Tharnpipitchai, Kunat Pipatanakul
Interspeech 2025
[project page]
-
SelfCheckGPT: Zero-Resource Black-Box
Hallucination Detection for Generative Large Language Models
Potsawee Manakul, Adian Liusie, Mark Gales
EMNLP 2023
[project
page]
→ Featured in the
Washington Post about AI Hallucination in May 2023
→ Featured in deeplearning.ai short course on
LLM safety
→ Featured in reading list of Stanford CS 329T:
Trustworthy Machine Learning (Fall 2023)
→ Invited talk
at ML Collective - Deep Learning: Classics and Trends (DLCT) in August
2023
→ Invited talk at at AI
CoP Seminar @ the U.S. SEC on LLM Hallucination in August 2024
→ Featured in an analysis by Daniel Huynh (from
Mithril Security) on SelfCheckGPT
-
MQAG: Multiple-choice Question
Answering and Generation for Assessing Information Consistency in
Summarization
Potsawee Manakul, Adian Liusie, Mark Gales
AACL 2023
[code]
→ Area Chair Paper Award (Generation and
Summarization)
-
Long-Span Summarization
via Local Attention and Content Selection
Potsawee Manakul, Mark Gales
ACL 2021
[code]
→
System winning 1st place in the Spotify Podcast Summarisation task
2020
-
Abstractive
Spoken Document Summarization using Hierarchical Model with Multi-stage
Attention Diversity Optimization
Potsawee Manakul, Mark J. F. Gales, Linlin Wang
Interspeech 2020
[code]
→ Best Student Paper Award Finalist
Honours and Awards
- AACL 2023 Area Chair Paper Award
- InterSpeech 2020 Best Student Paper Finalist
- Cambridge International & St John's College Scholarship (2019)
- BP 1st Year Prize: top 1% in 1st-year Cambridge Engineering (2016)
- Thai Government Scholarship (2015)
- Silver Medalist at IPhO 2014; Gold Medalist at APhO 2014
Service
- Area Chair: ACL 2025
- ACL Rolling Review: 2024 (Feb, Apr, Jun, Oct, Dec), 2025 (Jul)
- NeurIPS: 2023, 2024, 2025
- ICLR: 2024, 2025
- ICML: 2023, 2024, 2025
- AAAI: 2025
- Interspeech: 2023, 2024, 2025
- Conference On Language Modeling (COLM): 2024, 2025
- IEEE Transactions on Audio, Speech, and Language Processing: 2022, 2023, 2024, 2025
- Email: potsawee@stanford.edu