Profile

Pawin Taechoyotin

PhD Student · Automated Peer Review Generation · AI for Science

My research focus is on Science of Science. The main topic of my current research is automated scientific peer review, where LLMs are trained to analyze manuscripts and generate peer reviews. I'm also interested in Multi-Modal Representation Learning of Scientific concepts and information, which is believed to be the foundation of information comprehension for Artificial Intelligence models. Recently, I have had an interest on research integrity, where I develops techniques to identify research integrity issues in publications such as duplicated values in tables across publications.

Pawin Taechoyotin portrait

Projects

Selected Publications

REMOR: Automated peer review generation with llm reasoning and multi-objective reinforcement learning
Preprint2025

REMOR: Automated peer review generation with llm reasoning and multi-objective reinforcement learning

Pawin Taechoyotin, Daniel E. Acuna

Automated Peer ReviewReinforcement Learning

Resume

Education

University of Colorado Boulder, Colorado, USA

Aug 2024 – Present

Ph.D. student, Computer Science

University of Colorado Boulder, Colorado, USA

Aug 2022 – Jun 2024

Master's degree, Computer Science

King Mongkut's University of Technology Thonburi, Bangkok, Thailand

Aug 2014 – Jun 2018

Bachelor's degree, Computer Engineering

Experience

Government Big Data institute, Thailand

Data Scientist/Data Engineer

Aug 2018 – Jul 2022

Design and analyze organization datasets to produce insights for policy making of Government Agencies, Instructor on Data Analytics and Data Preprocessing

Yannix Co., Ltd., Bangkok, Thailand

Part Time Software Developer

Jan 2018 – Mar 2018

Developed a system monitoring web application for resource management for system administrators with VueJS, Python, Flask.

Academic Service

Reviewer (2026): AAAI, Springer Nature: Humanities and Social Sciences Communications Journal, and IC2S2Reviewer (2025): NeurIPS, AACL-IJCNLP 2025 Workshop WASP, 10th International Congress on Peer Review and Scientific Publication, PeerJ Computer Science JournalReviewer (2024): SDP 2024, FM4Science 2024

Teaching

Graduate Part Time Instructor

University of Colorado Boulder

  • CSCI 1300: Starting Computing (2024 Fall)

Graduate Teaching Assistant

University of Colorado Boulder

  • CSCI 1300: Starting Computing (2024 Spring)
  • CSCI 1300: Starting Computing (2023 Fall)

Course Manager

University of Colorado Boulder

  • CSCI 1300: Starting Computing (2022 Fall)
  • CSCI 1300: Starting Computing (2023 Spring)

Publications

[P2]Preprint2026

REM-CTX: Automated Peer Review via Reinforcement Learning with Auxiliary Context

Pawin Taechoyotin, Daniel E. Acuna

Preprint

Automated Peer ReviewReinforcement Learning
[P1]Preprint2025

REMOR: Automated peer review generation with llm reasoning and multi-objective reinforcement learning

Pawin Taechoyotin, Daniel E. Acuna

Preprint

Automated Peer ReviewReinforcement Learning
[W2]Workshop2024

MAMORX: Multi-agent multi-modal scientific review generation with external knowledge

Pawin Taechoyotin, Guanchao Wang, Tong Zeng, Bradley Sides, Daniel E. Acuna

Neurips 2024 Workshop Foundation Models for Science: Progress, Opportunities, and Challenges

Multi-agentMulti-modalScientific Review
[W1]Workshop2024

MISTI: Metadata-Informed Scientific Text and Image Representation through Contrastive Learning

Pawin Taechoyotin, Daniel E. Acuna

Proceedings of the Fourth Workshop on Scholarly Document Processing (SDP 2024)

Metadata-InformedScientific TextImage Representation
[C1]Conference2021

Health link: scalable health information exchange platform in Thailand

Pawin Taechoyotin, Patipan Prasertsom, Mullika Phanhong, Patchara Wongsutthikoson, Ravi Laohasurayodhin, Napassawan Pasuthip, Ben Ruktantichoke

2021 2nd International Conference on Big Data Analytics and Practices (IBDAP)