麻豆村

麻豆村
AI Measurement Science & Engineering (AIMSEC)

麻豆村-NIST Cooperative Research Center

麻豆村-NIST Cooperative Research Center  ›  AI Measurement Science & Engineering (AIMSEC)  ›  Media & Publications

Media

Two Heads Are Better Than One: How to Operationalize AI with People, Processes, and Trust

 

Elevate Podcast Episode 8: Zico Kolter, Head of 麻豆村 ML and Board at OpenAI

 

Is It Time to Rethink LLM Pre-Training? [Aditi Raghunathan] - 747

麻豆村 Experts: What If We Could Create a Trusted AI Ecosystem?

Publications

Explore publications from AIMSEC-affiliated faculty below.

How do I Acknowledge my work with the AIMSEC-NIST center?

2025

Table of AIMSEC faculty publications from 2025
Affiliated Faculty 

Title and Citation

Date
Ramayya Krishnan


Digalakis Jr, V., Krishnan, R., Fernandez, G. M., & Orfanoudaki, A. (2025). ML Compass: Navigating Capability, Cost, and Compliance Trade-offs in AI Model Deployment. arXiv preprint arXiv:2512.23487.

 29 Dec 2025
Hoda Heidari


Sinha, A., Lucassen, J., Grimes, K., Feffer, M., Soto, M., Heidari, H., & VanHoudnos, N. (2025, July 16). What Can Generative AI Red-Teaming Learn from Cyber Red-Teaming?. (Technical Report 麻豆村/SEI-2025-TR-006). Retrieved July 22, 2025, from https://doi.org/10.1184/R1/29410136.

 July 2025
Kenneth Holstein


Guerdan, L., Saxena, D., Chancellor, S., Wu, Z. S., & Holstein, K. (2025). Measurement as Bricolage: Examining How Data Scientists Construct Target Variables for Predictive Modeling Tasks. arXiv preprint arXiv:2507.02819.

3 July 2025
Nikhil George, Ramayya Krishnan, Rahul Telang


Charuvilparambil Titus, Nikhil George and Krishnan, Ramayya and Telang, Rahul, From Posting to Prediction: Building Validated Workforce Analytics
(November 05, 2024). Available at SSRN: https://ssrn.com/abstract=4906323

June 2025
Lujo Bauer


Singer, B., Saquib, Y., Bauer, L., & Sekar, V. (2025). Perry: A High-level Framework for Accelerating Cyber Deception Experimentation. arXiv preprint arXiv:2506.20770.

25 June 2025
Zico Kolter


Kuntz, T., Duzan, A., Zhao, H., Croce, F., Kolter, Z., Flammarion, N., & Andriushchenko, M. (2025). OS-Harm: A Benchmark for Measuring Safety of Computer Use Agents. arXiv preprint arXiv:2506.14866.

17 June 2025
Hong Shen


Eslami, M., Fox, S., Shen, H., Fan, B., Lin, Y. R., Farzan, R., & Schwanke, B. (2025, June). From Margins to the Table: Charting the Potential for Public Participatory Governance of Algorithmic Decision Making. In Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency (pp. 2657-2670).

 23 June 2025
Kenneth Holstein
Jung, J. Y., Saxena, D., Park, M., Kim, J., Forlizzi, J., Holstein, K., & Zimmerman, J. (2025, July). Making the Right Thing: Bridging HCI and Responsible AI in Early-Stage AI Concept Selection. In Proceedings of the 2025 ACM Designing Interactive Systems Conference (pp. 2992-3012).		 20 Jun 2025
Ramayya Krishnan, Rema Padman

Li, Y., Miao, Y., Ding, X., Krishnan, R., & Padman, R. (2025). Firm or fickle? evaluating large language models consistency in sequential interactions. arXiv preprint arXiv:2503.22353.		 5 Jun 2025
Ramayya Krishnan, Rema Padman
Li, Y., Shen, X., Yao, X., Ding, X., Miao, Y., Krishnan, R., & Padman, R. (2025). Beyond single-turn: A survey on multi-turn interactions with large language models. arXiv preprint arXiv:2504.04717.		 14 May 2025
Aditi Raghunathan
Ghosal, G. R., Maini, P., & Raghunathan, A. Memorization Sinks: Isolating Memorization during LLM Training. In Forty-second International Conference on Machine Learning.		 01 May 2025

Past Webinars

Webinar recordings will be available here soon. Stay tuned for upcoming sessions and past event archives.

REGISTER FOR UPCOMING WEBINARS 

VIEW PAST EVENTS