| Course recommendation of MOOC with big data support: A contextual online learning approach Y Hou, P Zhou, J Xu, DO Wu IEEE INFOCOm 2018-IEEE conference on computer communications workshops …, 2018 | 54* | 2018 |
| Recurrentgpt: Interactive generation of (arbitrarily) long text W Zhou, YE Jiang, P Cui, T Wang, Z Xiao, Y Hou, R Cotterell, M Sachan arXiv preprint arXiv:2305.13304, 2023 | 51 | 2023 |
| Mitigating label biases for in-context learning Y Fei, Y Hou, Z Chen, A Bosselut arXiv preprint arXiv:2305.19148, 2023 | 50 | 2023 |
| A Representation Learning Framework for Property Graphs Y Hou, H Chen, C Li, J Cheng, MC Yang Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 42 | 2019 |
| Understanding graph neural networks from graph signal denoising perspectives G Fu, Y Hou, J Zhang, K Ma, BF Kamhoua, J Cheng arXiv preprint arXiv:2006.04386, 2020 | 22 | 2020 |
| Grasper: A high performance distributed system for OLAP on property graphs H Chen, C Li, J Fang, C Huang, J Cheng, J Zhang, Y Hou, X Yan Proceedings of the ACM Symposium on Cloud Computing, 87-100, 2019 | 20 | 2019 |
| Towards a mechanistic interpretation of multi-step reasoning capabilities of language models Y Hou, J Li, Y Fei, A Stolfo, W Zhou, G Zeng, A Bosselut, M Sachan arXiv preprint arXiv:2310.14491, 2023 | 16 | 2023 |
| Large Scale Graph Mining with G-Miner H Chen, X Wang, C Huang, J Fang, Y Hou, C Li, J Cheng Proceedings of the 2019 International Conference on Management of Data, 1881 …, 2019 | 13 | 2019 |
| Adapters for Enhanced Modeling of Multilingual Knowledge and Text Y Hou, W Jiao, M Liu, C Allen, Z Tu, M Sacha EMNLP (Findings), 2022 | 9 | 2022 |
| What Has Been Enhanced in my Knowledge-Enhanced Language Model? Y Hou, G Fu, M Sachan EMNLP (Findings), 2022 | 9* | 2022 |
| Bird's Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach Y Hou, M Sachan ACL/IJCNLP, 1844--1859, 2021 | 9 | 2021 |
| What Do Language Models Learn in Context? The Structured Task Hypothesis. J Li*, Y Hou*, M Sachan, R Cotterell arXiv e-prints, arXiv: 2406.04216, 2024 | 2 | 2024 |
| Unveiling the Art of Heading Design: A Harmonious Blend of Summarization, Neology, and Algorithm S Cui, Y Feng, Y Mao, Y Hou, B Faltings Findings of the Association for Computational Linguistics ACL 2024, 6149-6174, 2024 | 1 | 2024 |
| Do Vision-Language Models Really Understand Visual Language? B Giledereli*, Y Hou*, Y Tu, M Sachan arXiv preprint arXiv:2410.00193, 2024 | | 2024 |
| Measuring and improving the use of graph information in graph neural networks Y Hou, J Zhang, J Cheng, K Ma, RTB Ma, H Chen, MC Yang International Conference on Learning Representations, 2020 | | 2020 |
Mrinmaya SachanAssistant Professor, ETH ZürichEmail verificata su inf.ethz.ch