Sang T. Truong

According to our database, Sang T. Truong authored at least 25 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

AI Cartography: Mapping the Latent Landscape of AI Benchmark Ecosystems.

Michael Hardy, Anka Reuel, Lijin Zhang, Jodi M. Casabianca, Sang T. Truong, Yash Dave, Hansol Lee, Benjamin W. Domingue, Sanmi Koyejo

CoRR, May, 2026

Why Do Safety Guardrails Degrade Across Languages?

Max Zhang, Ameen Patel, Sang T. Truong, Sanmi Koyejo

CoRR, May, 2026

In-Situ Behavioral Evaluation for LLM Fairness, Not Standardized-Test Scores.

Zeyu Tang, Sang T. Truong, Deonna Owens, Shreyas Sharma, Yibo Jacky Zhang, Brando Miranda, Sanmi Koyejo

CoRR, May, 2026

Neural Nonmyopic Bayesian Optimization in Dynamic Cost Settings.

Sang T. Truong, Duc Q. Nguyen, Willie Neiswanger, Ryan-Rhys Griffiths, Stefano Ermon, Nick Haber, Sanmi Koyejo

CoRR, January, 2026

2025

Fantastic Bugs and Where to Find Them in AI Benchmarks.

Sang T. Truong, Yuheng Tu, Michael Hardy, Anka Reuel, Zeyu Tang, Jirayu Burapacheep, Jonathan Perera, Chibuike Uwakwe, Ben Domingue, Nick Haber, Sanmi Koyejo

CoRR, November, 2025

Interactive Multi-Objective Probabilistic Preference Learning with Soft and Hard Bounds.

Edward Chen, Sang T. Truong, Natalie Dullerud, Sanmi Koyejo, Carlos Guestrin

CoRR, June, 2025

Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning.

Violet Xiang, Chase Blagden, Rafael Rafailov, Nathan Lile, Sang T. Truong, Chelsea Finn, Nick Haber

CoRR, June, 2025

Preferential Multi-Objective Bayesian Optimization for Drug Discovery.

Tai Dang, Long-Hung Pham, Sang T. Truong, Ari Glenn, Wendy Nguyen, Edward A. Pham, Jeffrey S. Glenn, Sanmi Koyejo, Thang Luong

CoRR, March, 2025

Prediction of Item Difficulty for Reading Comprehension Items by Creation of Annotated Item Repository.

Radhika Kapoor, Sang T. Truong, Nick Haber, Maria Araceli Ruiz-Primo, Benjamin W. Domingue

CoRR, February, 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, Luca Pegolotti, Malathi Srinivasan, Maniragav Manimaran, Matthew Schwede, Minghe Zhang, Minh Nguyen, Mohsen Fathzadeh, Qian Zhao, Rika Bajra, Rohit Khurana, Ruhana Azam, Rush Bartlett, Sang T. Truong, Scott L. Fleming, Shriti Raj, Solveig Behr, Sonia Onyeka, Sri Muppidi, Tarek Bandali, Tiffany Y. Eulalio, Wenyuan Chen, Xuanyu Zhou, Yanan Ding, Ying Cui, Yuqi Tan, Yutong Liu, Nigam Shah, Roxana Daneshjou

npj Digit. Medicine, 2025

ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code.

Tianyu Hua, Harper Hua, Violet Xiang, Benjamin Klieger, Sang T. Truong, Weixin Liang, Fan-Yun Sun, Nick Haber

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Reliable and Efficient Amortized Model-based Evaluation.

Sang T. Truong, Yuheng Tu, Percy Liang, Bo Li, Sanmi Koyejo

Proceedings of the Forty-second International Conference on Machine Learning, 2025

The Sound of Syntax: Finetuning and Comprehensive Evaluation of Language Models for Speech Pathology.

Fagun Patel, Duc Q. Nguyen, Sang T. Truong, Jody Vaynshtok, Sanmi Koyejo, Nick Haber

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Riding on the Back of a Whale: A Hackathon Framework for Introducing High School Students to Large Language Models.

Duc Nguyen, Dong D. Le, Long Nguyen, Quyen Vu, Tran Le, Dung Nguyen, Nga Huynh, Huong Nguyen, Phat Tran, Dang Le, Sang T. Truong, Sanmi Koyejo, Cuong Le, Tho Quan

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED, 2025

2024

Building a Domain-specific Guardrail Model in Production.

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, Sharad Sundararajan

CoRR, 2024

Crossing Linguistic Horizons: Finetuning and Comprehensive Evaluation of Vietnamese Large Language Models.

Sang T. Truong, Duc Q. Nguyen, Toan Nguyen, Dong D. Le, Nhi N. Truong, Tho Quan, Sanmi Koyejo

CoRR, 2024

Bridging Associative Memory and Probabilistic Modeling.

Rylan Schaeffer, Nika Zahedi, Mikail Khona, Dhruv Pai, Sang T. Truong, Yilun Du, Mitchell Ostrow, Sarthak Chandra, Andres Carranza, Ila Rani Fiete, Andrey Gromov, Sanmi Koyejo

CoRR, 2024

Crossing Linguistic Horizons: Finetuning and Comprehensive Evaluation of Vietnamese Large Language Models.

Sang T. Truong, Duc Nguyen, Toan Nguyen, Dong D. Le, Nhi N. Truong, Tho Quan, Sanmi Koyejo

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models.

Gantavya Bhatt, Yifang Chen, Arnav Mohanty Das, Jifan Zhang, Sang T. Truong, Stephen Mussmann, Yinglun Zhu, Jeff A. Bilmes, Simon S. Du, Kevin Jamieson, Jordan T. Ash, Robert D. Nowak

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Bayesian Optimization for Crop Genetics with Scalable Probabilistic Models.

Ruhana Azam, Sang T. Truong, Samuel B. Fernandes, Andrew D. B. Leakey, Alexander E. Lipka, Mohammed El-Kebir, Sanmi Koyejo

Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2024

2023

DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models.

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, Bo Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

GAUCHE: A Library for Gaussian Processes in Chemistry.

Ryan-Rhys Griffiths, Leo Klarner, Henry B. Moss, Aditya Ravuri, Sang T. Truong, Bojana Rankovic, Yuanqi Du, Arian R. Jamasb, Julius Schwartz, Austin Tripp, Gregory Kell, Anthony Bourached, Alex Chan, Jacob Moss, Chengzhi Guo, Alpha A. Lee, Philippe Schwaller, Jian Tang

CoRR, 2022

Quantum Neural Architecture Search with Quantum Circuits Metric and Bayesian Optimization.

Trong Duong, Sang T. Truong, Minh Tam, Bao Bach, Ju-Young Ryu, June-Koo Kevin Rhee

CoRR, 2022

A Simple and Scalable Tensor Completion Algorithm via Latent Invariant Constraint for Recommendation System.

Tung D. Nguyen, Sang T. Truong, Jeffrey Uhlmann

CoRR, 2022

2021

A Data-Driven Approach for Gin Rummy Hand Evaluation.

Sang T. Truong, Todd W. Neller

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021