| A Benchmark for Systematic Generalization in Grounded Language Understanding L Ruis, J Andreas, M Baroni, D Bouchacourt, BM Lake NeurIPS 2020, 2020 | 165 | 2020 |
| Debating with more persuasive llms leads to more truthful answers A Khan, J Hughes, D Valentine, L Ruis, K Sachan, A Radhakrishnan, ... ICML 2024 (best paper award), 2024 | 84 | 2024 |
| The goldilocks of pragmatic understanding: Fine-tuning strategy matters for implicature resolution by llms L Ruis, A Khan, S Biderman, S Hooker, T Rocktäschel, E Grefenstette NeurIPS 2023 (spotlight), 2024 | 77* | 2024 |
| Chatarena: Multi-agent language game environments for large language models Y Wu, Z Jiang, A Khan, Y Fu, L Ruis, E Grefenstette, T Rocktäschel GitHub repository, 2023 | 17 | 2023 |
| Improving systematic generalization through modularity and augmentation L Ruis, B Lake CogSci 2022, 2022 | 12 | 2022 |
| Insertion-Deletion Transformer L Ruis, M Stern, J Proskurnia, W Chan EMNLP WNGT, 2019 | 12 | 2019 |
| Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models L Ruis, M Mozes, J Bae, SR Kamalakara, D Talupuru, A Locatelli, R Kirk, ... ICLR 2025, 2024 | 4 | 2024 |
| What do Large Language Models ‘think’determines occupational prestige? R De Vries, M Hill, L Ruis SocArXiv, 2024 | 2 | 2024 |
| Do LLMs selectively encode the goal of an agent's reach? L Ruis, A Findeis, H Bradley, HA Rahmani, KW Choe, E Grefenstette, ... ToM ICML 2023, 2023 | 2 | 2023 |
| Towards Reliable Evaluation of Behavior Steering Interventions in LLMs I Pres, L Ruis, ES Lubana, D Krueger MINT NeurIPS 2024 (spotlight), 2024 | 1 | 2024 |
| Developing an occupational prestige scale using Large Language Models R De Vries, MJ Hill, L Ruis Workshop on Socially Responsible Language Modelling Research, 2024 | 1 | 2024 |
| Investigating Non-Transitivity in LLM-as-a-Judge Y Xu, L Ruis, T Rocktäschel, R Kirk arXiv preprint arXiv:2502.14074, 2025 | | 2025 |
| Developing an occupational prestige scale using Large Language Models M Hill, R de Vries, L Ruis | | 2024 |
| What do Large Language Models ‘think’determines occupational prestige? M Hill, R de Vries, L Ruis | | 2024 |
| What Kind of Pretraining Data Do Large Language Models Rely on When Doing Reasoning? L Ruis, M Mozes, J Bae, SR Kamalakara, D Gnaneshwar, A Locatelli, ... The Thirteenth International Conference on Learning Representations, 0 | | |
Tim RocktäschelDirector and Open-Endedness Team Lead at Google DeepMind, Professor of AI at UCL, Fellow ELLISGeverifieerd e-mailadres voor cs.ucl.ac.uk
