Prati
Laura Ruis
Naslov
Citirano
Citirano
Godina
A Benchmark for Systematic Generalization in Grounded Language Understanding
L Ruis, J Andreas, M Baroni, D Bouchacourt, BM Lake
NeurIPS 2020, 2020
1652020
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
69*2024
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
432024
Insertion-Deletion Transformer
L Ruis, M Stern, J Proskurnia, W Chan
EMNLP WNGT, 2019
122019
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
112023
Improving systematic generalization through modularity and augmentation
L Ruis, B Lake
CogSci 2022, 2022
92022
What do Large Language Models ‘think’determines occupational prestige?
R De Vries, M Hill, L Ruis
SocArXiv, 2024
22024
Developing an occupational prestige scale using Large Language Models
R De Vries, M Hill, L Ruis
SocArXiv, 2024
12024
Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models
L Ruis, M Mozes, J Bae, SR Kamalakara, D Talupuru, A Locatelli, R Kirk, ...
arXiv preprint arXiv:2411.12580, 2024
2024
Towards Reliable Evaluation of Behavior Steering Interventions in LLMs
I Pres, L Ruis, ES Lubana, D Krueger
MINT NeurIPS 2024 (spotlight), 2024
2024
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
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
2023
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