Potsawee (Punpun) Manakul

Potsawee (Punpun) Manakul

Research Scientist · Speech & Multimodal AI

About Me

Hello! I'm a Senior Applied Scientist on the Speech team at Microsoft, under Rui Jiang and Jinyu Li. Previously, I worked on Typhoon AI, an AI lab backed by a leading Thai VC firm SCB 10X, building Thai AI models (LLM, ASR, TTS), and I spent time as a visiting scholar at Stanford NLP, working with Prof. Diyi Yang on speech LLMs and their scaling properties. I did my PhD at Cambridge, supervised by Prof. Mark Gales, where I worked on long-form summarization models and hallucination & factuality in generative models. During the PhD, I had an applied science internship at Amazon, working on video summarization models.

Research Areas

Selected Projects & Publications

Scaling Open Discrete Audio (SODA) Potsawee Manakul, Woody Haosheng Gan, Martijn Bartelds, Guangzhi Sun, William Held, Diyi Yang Preprint Feb 2026
🏠 Project Page | 📄 Paper | 📈 Experiment Log | Code | 🤗 Models & Data | 🎮 Demo
AudioJudge: Understanding What Works in Large Audio Model Based Speech Evaluation Potsawee Manakul*, Woody Haosheng Gan*, Michael J. Ryan, Ali Sartaz Khan, Warit Sirichotedumrong, Kunat Pipatanakul, William Held, Diyi Yang EACL 2026
📄 Paper | Code
Enhancing Low-Resource Language and Instruction Following Capabilities of Audio Language Models Potsawee Manakul, Guangzhi Sun, Warit Sirichotedumrong, Kasima Tharnpipitchai, Kunat Pipatanakul Interspeech 2025
📄 Paper | Code | 🤗 Model
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models Potsawee Manakul, Adian Liusie, Mark Gales EMNLP 2023
🏠 Project Page & Code GitHub stars | PyPI Downloads
→ Featured in the Washington Post about AI Hallucination (May 2023)
→ Featured in DeepLearning.AI course on LLM Safety
→ Featured in reading list of Stanford CS 329T (Fall 2023)
→ Invited talk at AI CoP Seminar @ U.S. SEC on LLM Hallucination (Aug 2024)
→ 1600+ citations
MQAG: Multiple-choice Question Answering and Generation for Assessing Information Consistency Potsawee Manakul, Adian Liusie, Mark Gales AACL 2023 (Area Chair Paper Award)
Code | 🤗 Models
Long-Span Summarization via Local Attention and Content Selection Potsawee Manakul, Mark Gales ACL 2021
Code & Models
→ System winning 1st place in the Spotify Podcast Summarisation task 2020
Abstractive Spoken Document Summarization using Hierarchical Model with Multi-stage Attention Diversity Potsawee Manakul, Mark Gales, Linlin Wang Interspeech 2020 (Best Student Paper Award Finalist)
Code
→ View full list on Google Scholar

Honours and Awards

Reviewing & Academic Service