Samuel G. Rodriques

According to our database, Samuel G. Rodriques authored at least 11 papers between 2014 and 2025.

Collaborative distances:

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

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

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