Laura Ruis 个人学术档案 - 学术资源搜索

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Tim RocktäschelProfessor of Artificial Intelligence at UCL, Open-Endedness Team Lead at Google DeepMind在 cs.ucl.ac.uk 的电子邮件经过验证
Edward GrefenstetteDirector of Research, Google DeepMind | Honorary Professor, UCL在 google.com 的电子邮件经过验证
Brenden M. LakeAssociate Professor, New York University在 nyu.edu 的电子邮件经过验证
Marco BaroniICREA Professor (Barcelona)在 upf.edu 的电子邮件经过验证
Jacob AndreasMIT在 mit.edu 的电子邮件经过验证
Diane BouchacourtFacebook AI Research在 fb.com 的电子邮件经过验证
Stella BidermanBooz Allen Hamilton, EleutherAI在 bah.com 的电子邮件经过验证
Julia ProskurniaGoogle在 google.com 的电子邮件经过验证
Mitchell SternUC Berkeley在 berkeley.edu 的电子邮件经过验证
William ChanIdeogram在 ideogram.ai 的电子邮件经过验证

Laura Ruis

在 ucl.ac.uk 的电子邮件经过验证


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
A Benchmark for Systematic Generalization in Grounded Language Understanding L Ruis, J Andreas, M Baroni, D Bouchacourt, BM Lake Advances in Neural Information Processing Systems 33, 2020	152	2020
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 Advances in Neural Information Processing Systems 36, 2024	52*	2024
Debating with more persuasive llms leads to more truthful answers A Khan, J Hughes, D Valentine, L Ruis, K Sachan, A Radhakrishnan, ... arXiv preprint arXiv:2402.06782, 2024	16	2024
Insertion-Deletion Transformer L Ruis, M Stern, J Proskurnia, W Chan EMNLP WNGT, 2019	12	2019
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	8	2023
Improving systematic generalization through modularity and augmentation L Ruis, B Lake 44th Annual Meeting of the Cognitive Science Society: Cognitive Diversity, 2022	7	2022
Do LLMs selectively encode the goal of an agent's reach? L Ruis, A Findeis, H Bradley, HA Rahmani, KW Choe, E Grefenstette, ... First Workshop on Theory of Mind in Communicating Agents, 2023		2023
Developing an occupational prestige scale using Large Language Models R De Vries, M Hill, L Ruis OSF, 0

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