| Reviewergpt? an exploratory study on using large language models for paper reviewing R Liu, NB Shah arXiv preprint arXiv:2306.00622, 2023 | 126 | 2023 |
| Mitigating manipulation in peer review via randomized reviewer assignments S Jecmen, H Zhang, R Liu, N Shah, V Conitzer, F Fang Advances in Neural Information Processing Systems 33, 12533-12545, 2020 | 99 | 2020 |
| Llm social simulations are a promising research method JR Anthis, R Liu, SM Richardson, AC Kozlowski, B Koch, J Evans, ... arXiv preprint arXiv:2504.02234, 2025 | 90* | 2025 |
| Mind your step (by step): Chain-of-thought can reduce performance on tasks where thinking makes humans worse R Liu, J Geng, AJ Wu, I Sucholutsky, T Lombrozo, TL Griffiths arXiv preprint arXiv:2410.21333, 2024 | 79 | 2024 |
| Llms as workers in human-computational algorithms? replicating crowdsourcing pipelines with llms T Wu, H Zhu, M Albayrak, A Axon, A Bertsch, W Deng, Z Ding, B Guo, ... Proceedings of the Extended Abstracts of the CHI Conference on Human Factors …, 2025 | 65 | 2025 |
| Large language models assume people are more rational than we really are R Liu, J Geng, JC Peterson, I Sucholutsky, TL Griffiths arXiv preprint arXiv:2406.17055, 2024 | 46 | 2024 |
| How do large language models navigate conflicts between honesty and helpfulness? R Liu, TR Sumers, I Dasgupta, TL Griffiths Proceedings of the 41st International Conference on Machine Learning, 31844 …, 2024 | 42 | 2024 |
| Api-assisted code generation for question answering on varied table structures Y Cao, S Chen, R Liu, Z Wang, D Fried arXiv preprint arXiv:2310.14687, 2023 | 30 | 2023 |
| Cite-seeing and reviewing: A study on citation bias in peer review I Stelmakh, C Rastogi, R Liu, S Chawla, F Echenique, NB Shah Plos one 18 (7), e0283980, 2023 | 26 | 2023 |
| On benchmarking human-like intelligence in machines L Ying, KM Collins, L Wong, I Sucholutsky, R Liu, A Weller, T Shu, ... arXiv preprint arXiv:2502.20502, 2025 | 20 | 2025 |
| Improving interpersonal communication by simulating audiences with language models R Liu, H Yen, R Marjieh, TL Griffiths, R Krishna arXiv preprint arXiv:2311.00687, 2023 | 17* | 2023 |
| Near-optimal reviewer splitting in two-phase paper reviewing and conference experiment design S Jecmen, H Zhang, R Liu, F Fang, V Conitzer, NB Shah Proceedings of the AAAI conference on human computation and crowdsourcing 10 …, 2022 | 16 | 2022 |
| RLHS: Mitigating misalignment in RLHF with hindsight simulation K Liang, H Hu, R Liu, TL Griffiths, JF Fisac Neurips Safe Generative AI Workshop 2024, 2025 | 12 | 2025 |
| Using the tools of cognitive science to understand large language models at different levels of analysis A Ku, D Campbell, X Bai, J Geng, R Liu, R Marjieh, RT McCoy, A Nam, ... arXiv preprint arXiv:2503.13401, 2025 | 10 | 2025 |
| Testing for reviewer anchoring in peer review: A randomized controlled trial R Liu, S Jecmen, V Conitzer, F Fang, NB Shah PloS one 19 (11), e0301111, 2024 | 10 | 2024 |
| Accumulating Context Changes the Beliefs of Language Models J Geng, H Chen, R Liu, MH Ribeiro, R Willer, G Neubig, TL Griffiths arXiv preprint arXiv:2511.01805, 2025 | 2 | 2025 |
| Are Large Language Models Sensitive to the Motives Behind Communication? AJ Wu, R Liu, K Oktar, TR Sumers, TL Griffiths arXiv preprint arXiv:2510.19687, 2025 | 1 | 2025 |
| Evaluating Language Models' Evaluations of Games KM Collins, CE Zhang, G Todd, L Ying, MB da Costa, R Liu, P Sharma, ... arXiv preprint arXiv:2510.10930, 2025 | 1 | 2025 |
| Large Language Models Develop Novel Social Biases Through Adaptive Exploration AJ Wu, R Liu, X Bai, TL Griffiths arXiv preprint arXiv:2511.06148, 2025 | | 2025 |
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityVerified email at princeton.edu
