Laura Ruis

According to our database, Laura Ruis authored at least 11 papers between 2020 and 2025.

Collaborative distances:

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

2025

Programming by Backprop: LLMs Acquire Reusable Algorithmic Abstractions During Code Training.

Jonathan Cook, Silvia Sapora, Arash Ahmadian, Akbir Khan, Tim Rocktäschel, Jakob N. Foerster, Laura Ruis

CoRR, June, 2025

Investigating Non-Transitivity in LLM-as-a-Judge.

Yi Xu, Laura Ruis, Tim Rocktäschel, Robert Kirk

CoRR, February, 2025

Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models.

Laura Ruis, Maximilian Mozes, Juhan Bae, Siddhartha Rao Kamalakara, Dwaraknath Gnaneshwar, Acyr Locatelli, Robert Kirk, Tim Rocktäschel, Edward Grefenstette, Max Bartolo

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models.

Laura Ruis, Maximilian Mozes, Juhan Bae, Siddhartha Rao Kamalakara, Dwarak Talupuru, Acyr Locatelli, Robert Kirk, Tim Rocktäschel, Edward Grefenstette, Max Bartolo

CoRR, 2024

Towards Reliable Evaluation of Behavior Steering Interventions in LLMs.

Itamar Pres, Laura Ruis, Ekdeep Singh Lubana, David Krueger

CoRR, 2024

Debating with More Persuasive LLMs Leads to More Truthful Answers.

Akbir Khan, John Hughes, Dan Valentine, Laura Ruis, Kshitij Sachan, Ansh Radhakrishnan, Edward Grefenstette, Samuel R. Bowman, Tim Rocktäschel, Ethan Perez

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs.

Laura Ruis, Akbir Khan, Stella Biderman, Sara Hooker, Tim Rocktäschel, Edward Grefenstette

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

2022

Large language models are not zero-shot communicators.

Laura Ruis, Akbir Khan, Stella Biderman, Sara Hooker, Tim Rocktäschel, Edward Grefenstette

CoRR, 2022

Improving Systematic Generalization Through Modularity and Augmentation.

Laura Ruis, Brenden M. Lake

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2020

Insertion-Deletion Transformer.

Laura Ruis, Mitchell Stern, Julia Proskurnia, William Chan

CoRR, 2020

A Benchmark for Systematic Generalization in Grounded Language Understanding.

Laura Ruis, Jacob Andreas, Marco Baroni, Diane Bouchacourt, Brenden M. Lake

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020