Paul Raccuglia

According to our database, Paul Raccuglia authored at least 8 papers between 2016 and 2025.

Collaborative distances:

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

2025

Generalizing PDE Emulation with Equation-Aware Neural Operators.

Qian-Ze Zhu, Paul Raccuglia, Michael P. Brenner

CoRR, November, 2025

Expert Evaluation of LLM World Models: A High-T_c Superconductivity Case Study.

Haoyu Guo, Maria Tikhanovskaya, Paul Raccuglia, Alexey Vlaskin, Chris Co, Daniel J. Liebling, Scott Ellsworth, Matthew Abraham, Elizabeth Dorfman, N. P. Armitage, Chunhan Feng, Antoine Georges, Olivier Gingras, Dominik Kiese, Steven A. Kivelson, Vadim Oganesyan, B. J. Ramshaw, Subir Sachdev, T. Senthil, J. M. Tranquada, Michael P. Brenner, Subhashini Venugopalan, Eun-Ah Kim

CoRR, November, 2025

An AI system to help scientists write expert-level empirical software.

Eser Aygün, Anastasiya Belyaeva, Gheorghe Comanici, Marc Coram, Hao Cui, Jake Garrison, Renee Johnston, Anton Kast, Cory Y. McLean, Peter C. Norgaard, Zahra Shamsi, David Smalling, James Thompson, Subhashini Venugopalan, Brian P. Williams, Chujun He, Sarah Martinson, Martyna Plomecka, Lai Wei, Yuchen Zhou, Qian-Ze Zhu, Matthew Abraham, Erica Brand, Anna Bulanova, Jeffrey A. Cardille, Chris Co, Scott Ellsworth, Grace Joseph, Malcolm Kane, Ryan Krueger, Johan Kartiwa, Daniel J. Liebling, Jan-Matthis Lueckmann, Paul Raccuglia, Xuefei Wang, Katherine Chou, James Manyika, Yossi Matias, John C. Platt, Lizzie Dorfman, Shibl Mourad, Michael P. Brenner

CoRR, September, 2025

FEABench: Evaluating Language Models on Multiphysics Reasoning Ability.

Nayantara Mudur, Hao Cui, Subhashini Venugopalan, Paul Raccuglia, Michael P. Brenner, Peter C. Norgaard

CoRR, April, 2025

CURIE: Evaluating LLMs On Multitask Scientific Long Context Understanding and Reasoning.

Hao Cui, Zahra Shamsi, Gowoon Cheon, Xuejian Ma, Shutong Li, Maria Tikhanovskaya, Peter C. Norgaard, Nayantara Mudur, Martyna Plomecka, Paul Raccuglia, Yasaman Bahri, Victor V. Albert, Pranesh Srinivasan, Haining Pan, Philippe Faist, Brian Rohr, Michael J. Statt, Dan Morris, Drew Purves, Elise Kleeman, Ruth Alcantara, Matthew Abraham, Muqthar Mohammad, Ean Phing VanLee, Chenfei Jiang, Elizabeth Dorfman, Eun-Ah Kim, Michael P. Brenner, Viren Jain, Sameera S. Ponda, Subhashini Venugopalan

CoRR, March, 2025

CURIE: Evaluating LLMs on Multitask Scientific Long-Context Understanding and Reasoning.

Hao Cui, Zahra Shamsi, Gowoon Cheon, Xuejian Ma, Shutong Li, Maria Tikhanovskaya, Peter Christian Norgaard, Nayantara Mudur, Martyna Beata Plomecka, Paul Raccuglia, Yasaman Bahri, Victor V. Albert, Pranesh Srinivasan, Haining Pan, Philippe Faist, Brian Rohr, Michael J. Statt, Dan Morris, Drew Purves, Elise Kleeman, et al.

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2016

Machine-learning-assisted materials discovery using failed experiments.

Paul Raccuglia, Katherine C. Elbert, Philip Adler, Casey Falk, Malia B. Wenny, Aurelio Mollo, Matthias Zeller, Sorelle A. Friedler, Joshua Schrier, Alexander J. Norquist

Nat., 2016

Search-based Evaluation from Truth Transcripts for Voice Search Applications.

François Mairesse, Paul Raccuglia, Shiv Vitaladevuni

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016