Research

Papers, preprints, and textbooks organized by research theme.

Statistical Foundations of AI Measurement

Building statistical foundations for valid, reliable, and efficient measurement of AI capabilities.

  1. Textbook 2026
    Sang T. Truong and Sanmi Koyejo
    Living textbook
  2. Preprint 2026
    Sang T. Truong, Noah Goodman, Emma Brunskill, Ben Domingue, Nick Haber*, and Sanmi Koyejo*
    *equal advising
  3. ICML 2026
    Sang Truong, Yuheng Tu, Rylan Schaeffer, and Sanmi Koyejo
  4. COLM 2026
    Max Zhang, Ameen Patel, Sang T. Truong*, and Sanmi Koyejo*
  5. COLM 2026
    What AI Benchmarks Actually Measure: Adapting Convergent and Discriminant Validity to Interrogate Fifty-Six AI Benchmarks
    Meera Desai, Sang T. Truong, Hanna Wallach, Alex Chouldechova, A. Feder Cooper, Jean Garcia-Gathright, Daniel E. Ho, Abigail Z. Jacobs, Sanmi Koyejo, Nicholas Pangakis, and Angelina Wang
  6. ICML 2026
    Michael Hardy, Anka Reuel, Lijin Zhang, Jodi M. Casabianca, Sang Truong, Yash Dave, Hansol Lee, Benjamin Domingue, and Sanmi Koyejo
  7. ICML WS 2026
    Rodolfo Corona*, Sang Truong*, Ritwik Gupta, Nhi Ngoc Truong, Atnafu Lambebo Tonja, Mena Attia, Fahim Faisal, Kaushal Kumar Maurya, Fred Philippy, Belu Ticona, Sumaya Nur Adan, Fazl Barez, Omar Florez, Supheakmungkol Sarin, Aseem Srivastava, Xiaoyuan Yi, Nick Haber, Dan Klein, Thamar Solorio, Xing Xie, Sanmi Koyejo, and Robert Trager
  8. Preprint 2026
    Han Jiang, Susu Zhang, Dongyao Zhu, Yuzhuo Bai, Sang T. Truong, Xiaoyuan Yi, Sanmi Koyejo, Xing Xie, and Ziang Xiao
  9. ICML 2025
    Sang T. Truong, Yuheng Tu, Percy Liang, Bo Li, and Sanmi Koyejo
  10. NeurIPS 2025
    Sang T. Truong, Yuheng Tu, Michael Hardy, Anka Reuel, Zeyu Tang, Jirayu Burapacheep, Jonathan Perera, Chibuike Uwakwe, Ben Domingue, Nick Haber, and Sanmi Koyejo
  11. Preprint 2025
    Radhika Kapoor, Sang T. Truong, Nick Haber, Maria Araceli Ruiz-Primo, and Benjamin W. Domingue

Incentive-Aware Design of Measurement System

Designing incentives and protocols that encourage informative evaluations and broad capability coverage.

  1. Preprint 2026
    Sang Truong, Serena Wang, Nick Haber, and Sanmi Koyejo
  2. Preprint 2026
    The AI Evaluation Ecosystem
    Yash Satish Dave*, Sang T. Truong*, Serena Wang, and Sanmi Koyejo
    *Co-first authors
  3. Preprint 2026
    Predictive AI Evaluation Competition
    Sang Truong, Olawale Salaudeen, Nhi Truong, Serena Wang, Yegor Denisov-Blanch, Fagun Patel, Angelina Wang, Luke Guerdan, Ziang Xiao, Xing Xie, Nick Haber, and Sanmi Koyejo

Measuring AI Systems in the Real Worlds

Evaluating AI behavior across languages, communities, and real-world tasks.

  1. COLM 2026
    Zeyu Tang*, Sang T. Truong*, Deonna Owens*, Shreyas Sharma, Yibo Jacky Zhang, Brando Miranda, and Sanmi Koyejo
  2. EMNLP 2026
    Fagun Patel*, Sang T. Truong*, Duc Q. Nguyen*, Kaz Fukuhara, Ben Domingue, Sanmi Koyejo, and Nick Haber
  3. NeurIPS 2025
    Tianyu Hua, Harper Hua, Violet Xiang, Benjamin Klieger, Sang T. Truong, Weixin Liang, Fan-Yun Sun, and Nick Haber
  4. EMNLP 2025
    Fagun Patel*, Duc Q. Nguyen*, Sang T. Truong*, Jody Vaynshtok, Sanmi Koyejo, and Nick Haber
  5. npj Digit. Med. 2025
    Red Teaming ChatGPT in Medicine to Yield Real-World Insights on Model Behavior
    Crystal T. Chang, Hodan Farah, Haiwen Gui, Shawheen Justin Rezaei, Charbel Bou-Khalil, Ye-Jean Park, Akshay Swaminathan, Jesutofunmi A. Omiye, Akaash Kolluri, Akash Chaurasia, Alejandro Lozano, Alice Heiman, Allison Sihan Jia, Amit Kaushal, Angela Jia, Angelica Iacovelli, Archer Yang, Arghavan Salles, Arpita Singhal, Balasubramanian Narasimhan, Benjamin Belai, Benjamin H. Jacobson, Binglan Li, Celeste H. Poe, Chandan Sanghera, Chenming Zheng, Conor Messer, Damien Varid Kettud, Deven Pandya, Dhamanpreet Kaur, Diana Hla, Diba Dindoust, Dominik Moehrle, Duncan Ross, Ellaine Chou, Eric Lin, Fateme Nateghi Haredasht, Ge Cheng, Irena Gao, Jacob Chang, Jake Silberg, Jason A. Fries, Jiapeng Xu, Joe Jamison, John S. Tamaresis, Jonathan H. Chen, Joshua Lazaro, Juan M. Banda, Julie J. Lee, Karen Ebert Matthys, Kirsten R. Steffner, Lu Tian, Lorene Pegolotti, Malathi Srinivasan, Manivannan Manimaran, Matthew Schwede, Melissa Zhang, Michael Nguyen, Mozziyar Fathzadeh, Qian Zhao, Rika Bajra, Rohit Khurana, Ruhana Azam, Ryan Bartlett, Sang T. Truong, Scott L. Fleming, Shriti Raj, Solveig Behr, Sonia Onyeka, Srinath Muppidi, Tina Bandali, Tiffany Y. Eulalio, Wenyuan Chen, Xiaoyuan Zhou, Yifan Ding, Yuhui Cui, Yue Tan, Yuqi Liu, Nigam Shah, and Roxana Daneshjou
  6. NAACL 2024
    Sang T. Truong, Duc Q. Nguyen, Toan Nguyen, Dong D. Le, Nhi N. Truong, Tho Quan, and Sanmi Koyejo
  7. Preprint 2024
    Mohammad Niknazar, Paul V. Haley, Latha Ramanan, Sang T. Truong, Yedendra Shrinivasan, Ayan Kumar Bhowmick, Prasenjit Dey, Ashish Jagmohan, Hema Maheshwari, Shom Ponoth, Robert Smith, Aditya Vempaty, Nick Haber, Sanmi Koyejo, and Sharad Sundararajan
  8. NeurIPS 2023
    Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, and Bo Li

Science and AI-Driven Discovery

Accelerating scientific discovery through optimal experimental design and information gathering.

  1. ICLR WS 2025
    Tai Dang, Long-Hung Pham, Sang T. Truong, Ari Glenn, Wendy Nguyen, Edward A. Pham, Jeffrey S. Glenn, Sanmi Koyejo, and Thang Luong
  2. NeurIPS 2024
    GAUCHE: A Library for Gaussian Processes in Chemistry
    Ryan-Rhys Griffiths, Leo Klarner, Henry Moss, Aditya Ravuri, Sang T. Truong, Yuanqi Du, Samuel Stanton, Gary Tom, Bojana Rankovic, Arian Jamasb, Aryan Deshwal, Julius Schwartz, Austin Tripp, Gregory Kell, Simon Frieder, Anthony Bourached, Alex Chan, Jacob Moss, Chengzhi Guo, Johannes Peter Dürholt, Saudamini Chaurasia, Ji Won Park, Felix Strieth-Kalthoff, Alpha Lee, Bingqing Cheng, Alan Aspuru-Guzik, Philippe Schwaller, and Jian Tang
  3. Preprint 2024
    Rylan Schaeffer, Nika Zahedi, Mikail Khona, Dhruv Pai, Sang T. Truong, Yilun Du, Mitchell Ostrow, Sarthak Chandra, Andres Carranza, Ila Rani Fiete, Andrey Gromov, and Sanmi Koyejo
  4. Am. Econ. 2023
    Teaching Income Inequality with Data-Driven Visualization
    Sang T. Truong and Humberto Barreto
  5. J. Chem. Phys. 2022
    Systematic Analysis of Biomolecular Conformational Ensembles with PENSA
    Martin Vögele, Neil J. Thomson, Sang T. Truong, Jasper McAvity, Ulrich Zachariae, and Ron O. Dror
  6. Preprint 2022
    Trong Duong, Sang T. Truong, Minh Tam, Bao Bach, Ju Young Ryu, and June-Koo Kevin Rhee
  7. Ind. Eng. Chem. Res. 2022
    Ag/ZnO Heterojunction Decorated on Polypropylene as a Membrane for Photocatalytic Nitrogen Oxide Removal
    Van Viet Pham, Hai Phong Phan La, Hoang Viet Le, Sang T. Truong, Thanh Quang Nguyen, and Thi Mong Cao
  8. Mater. Res. Express 2019
    One-pot Hydrothermal Synthesis of Si Doped TiO2 Nanotubes from Commercial Material Sources for Visible Light-Driven Photocatalytic Activity
    Pham Van Viet, Tran Hoang Huy, Sang T. Truong, Hoang Minh Nguyet, and Cao Minh Thi
  9. J. Photochem. A 2018
    Silver Nanoparticle Loaded TiO2 Nanotubes with High Photocatalytic and Antibacterial Activity Synthesized by Photoreduction Method
    Van Viet Pham, Thi Kieu Hanh Phan, Derrick Mott, Shinya Maenosono, Sang T. Truong, and Thi Mong Cao
  10. J. Photochem. B 2018
    An Improved Green Synthesis Method and Escherichia coli Antibacterial Activity of Silver Nanoparticles
    Pham Van Viet, Sang T. Truong, Nguyen Hoang Ngoc Bich, and Cao Minh Thi
  11. Nucl. Instrum. B 2018
    Synthesis of a Silver/TiO2 Nanotube Nanocomposite by Gamma Irradiation for Enhanced Photocatalytic Activity under Sunlight
    Pham Van Viet, Sang T. Truong, Nguyen Quoc Hien, Cao Minh Thi, and Le Van Hieu

Bayesian Decision Making

Learning preferences and making adaptive decisions under uncertainty and resource constraints.

  1. UAI 2026
    Edward Chen, Sang T. Truong, Natalie Dullerud, Sanmi Koyejo, and Carlos Guestrin
  2. Textbook 2026
    Sang T. Truong, Andreas Haupt, and Sanmi Koyejo
    Living textbook
  3. NeurIPS WS 2025
    Violet Xiang, Chase Blagden, Rafael Rafailov, Nathan Lile, Sang T. Truong, Chelsea Finn, and Nick Haber
  4. ACL 2024
    Gantavya Bhatt, Yifang Chen, Arnav Das, Jifan Zhang, Sang T. Truong, Stephen Mussmann, Yinglun Zhu, Jeff Bilmes, Simon Du, Kevin Jamieson, Jordan Ash, and Robert Nowak
  5. ICML WS 2023
    Thomas: Learning to Explore Human Preference via Probabilistic Reward Model
    Sang T. Truong, Duc Quang Nguyen, Tho Quan, and Sanmi Koyejo