Samuel G. Rodriques

According to our database, Samuel G. Rodriques authored at least 16 papers between 2014 and 2026.

Collaborative distances:

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

2026

OptimusKG: Unifying biomedical knowledge in a modern multimodal graph.

Lucas Vittor, Ayush Noori, Iñaki Arango, Joaquín Polonuer, Samuel G. Rodriques, Andrew White, David A. Clifton, Marinka Zitnik

CoRR, April, 2026

LABBench2: An Improved Benchmark for AI Systems Performing Biology Research.

Jon M. Laurent, Albert Bou, Michael Pieler, Conor Igoe, Alex Andonian, Siddharth Narayanan, James D. Braza, Alexandros Sanchez Vassopoulos, Jacob L. Steenwyk, Blake Lash, Andrew D. White, Samuel G. Rodriques

CoRR, April, 2026

2025

Graph AI generates neurological hypotheses validated in molecular, organoid, and clinical systems.

Ayush Noori, Joaquín Polonuer, Katharina Meyer, Bogdan Budnik, Shad Morton, Xinyuan Wang, Sumaiya Nazeen, Yingnan He, Iñaki Arango, Lucas Vittor, Matthew Woodworth, Richard C. Krolewski, Michelle M. Li, Ninning Liu, Tushar Kamath, Evan Macosko, Dylan Ritter, Jalwa Afroz, Alexander B. H. Henderson, Lorenz Studer, Samuel G. Rodriques, Andrew White, Noa Dagan, David A. Clifton, George M. Church, Sudeshna Das, Jenny M. Tam, Vikram Khurana, Marinka Zitnik

CoRR, December, 2025

Kosmos: An AI Scientist for Autonomous Discovery.

Ludovico Mitchener, Angela Yiu, Benjamin Chang, Mathieu Bourdenx, Tyler Nadolski, Arvis Sulovari, Eric C. Landsness, Daniel L. Barabasi, Siddharth Narayanan, Nicky Evans, Shriya Reddy, Martha Foiani, Aizad Kamal, Leah P. Shriver, Fang Cao, Asmamaw T. Wassie, Jon M. Laurent, Edwin Melville-Green, Mayk Caldas Ramos, Albert Bou, Kaleigh F. Roberts, Sladjana Zagorac, Timothy C. Orr, Miranda E. Orr, Kevin J. Zwezdaryk, Ali Essa Ghareeb, Laurie McCoy, Bruna Gomes, Euan A. Ashley, Karen E. Duff, Tonio Buonassisi, Tom Rainforth, Randall J. Bateman, Michael D. Skarlinski, Samuel G. Rodriques, Michaela M. Hinks, Andrew D. White

CoRR, November, 2025

Training a Scientific Reasoning Model for Chemistry.

Siddharth Narayanan, James D. Braza, Ryan-Rhys Griffiths, Albert Bou, Geemi P. Wellawatte, Mayk Caldas Ramos, Ludovico Mitchener, Samuel G. Rodriques, Andrew D. White

CoRR, June, 2025

Robin: A multi-agent system for automating scientific discovery.

Ali Essa Ghareeb, Benjamin Chang, Ludovico Mitchener, Angela Yiu, Caralyn J. Szostkiewicz, Jon M. Laurent, Muhammed T. Razzak, Andrew D. White, Michaela M. Hinks, Samuel G. Rodriques

CoRR, May, 2025

BixBench: a Comprehensive Benchmark for LLM-based Agents in Computational Biology.

Ludovico Mitchener, Jon M. Laurent, Benjamin Tenmann, Siddharth Narayanan, Geemi P. Wellawatte, Andrew D. White, Lorenzo Sani, Samuel G. Rodriques

CoRR, March, 2025

Training a Scientific Reasoning Model for Chemistry.

Siddharth Narayanan, James D. Braza, Ryan-Rhys Griffiths, Albert Bou, Geemi P. Wellawatte, Mayk Caldas Ramos, Ludovico Mitchener, Michael Pieler, Samuel G. Rodriques, Andrew D. White

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

2024

Aviary: training language agents on challenging scientific tasks.

Siddharth Narayanan, James D. Braza, Ryan-Rhys Griffiths, Manvitha Ponnapati, Albert Bou, Jon M. Laurent, Ori Kabeli, Geemi P. Wellawatte, Sam Cox, Samuel G. Rodriques, Andrew D. White

CoRR, 2024

Language agents achieve superhuman synthesis of scientific knowledge.

Michael D. Skarlinski, Sam Cox, Jon M. Laurent, James D. Braza, Michaela M. Hinks, Michael J. Hammerling, Manvitha Ponnapati, Samuel G. Rodriques, Andrew D. White

CoRR, 2024

LAB-Bench: Measuring Capabilities of Language Models for Biology Research.

Jon M. Laurent, Joseph D. Janizek, Michael Ruzo, Michaela M. Hinks, Michael J. Hammerling, Siddharth Narayanan, Manvitha Ponnapati, Andrew D. White, Samuel G. Rodriques

CoRR, 2024

2023

PaperQA: Retrieval-Augmented Generative Agent for Scientific Research.

Jakub Lála, Odhran O'Donoghue, Aleksandar Shtedritski, Sam Cox, Samuel G. Rodriques, Andrew D. White

CoRR, 2023

BioPlanner: Automatic Evaluation of LLMs on Protocol Planning in Biology.

Odhran O'Donoghue, Aleksandar Shtedritski, John Ginger, Ralph Abboud, Ali Essa Ghareeb, Justin Booth, Samuel G. Rodriques

CoRR, 2023

14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon.

Kevin Maik Jablonka, Qianxiang Ai, Alexander Al-Feghali, Shruti Badhwar, Joshua D. Bocarsly, Andres M. Bran, Stefan Bringuier, L. Catherine Brinson, Kamal Choudhary, Defne Circi, Sam Cox, Wibe A. de Jong, Matthew L. Evans, Nicolas Gastellu, Jerome Genzling, María Victoria Gil, Ankur K. Gupta, Zhi Hong, Alishba Imran, Sabine Kruschwitz, Anne Labarre, Jakub Lála, Tao Liu, Steven Ma, Sauradeep Majumdar, Garrett W. Merz, Nicolas Moitessier, Elias Moubarak, Beatriz Mouriño, Brenden Pelkie, Michael Pieler, Mayk Caldas Ramos, Bojana Rankovic, Samuel G. Rodriques, Jacob N. Sanders, Philippe Schwaller, Marcus Schwarting, Jiale Shi, Berend Smit, Ben E. Smith, Joren Van Heck, Christoph Völker, Logan T. Ward, Sean Warren, Benjamin Weiser, Sylvester Zhang, Xiaoqi Zhang, Ghezal Ahmad Zia, Aristana Scourtas, K. J. Schmidt, Ian T. Foster, Andrew D. White, Ben Blaiszik

CoRR, 2023

BioPlanner: Automatic Evaluation of LLMs on Protocol Planning in Biology.

Odhran O'Donoghue, Aleksandar Shtedritski, John Ginger, Ralph Abboud, Ali Essa Ghareeb, Samuel G. Rodriques

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2014

Probability Theory without Bayes' Rule.

Samuel G. Rodriques

CoRR, 2014