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Yifan HOU
Yifan HOU
ETH Zurich
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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
55*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
512023
Mitigating label biases for in-context learning
Y Fei, Y Hou, Z Chen, A Bosselut
arXiv preprint arXiv:2305.19148, 2023
502023
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
432019
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
222020
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
202019
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
172023
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
132019
Bird's Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach
Y Hou, M Sachan
ACL/IJCNLP, 1844--1859, 2021
102021
Adapters for Enhanced Modeling of Multilingual Knowledge and Text
Y Hou, W Jiao, M Liu, C Allen, Z Tu, M Sacha
EMNLP (Findings), 2022
92022
What Has Been Enhanced in my Knowledge-Enhanced Language Model?
Y Hou, G Fu, M Sachan
EMNLP (Findings), 2022
9*2022
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
6*2020
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
22024
Do Vision-Language Models Really Understand Visual Language?
B Giledereli*, Y Hou*, Y Tu, M Sachan
arXiv preprint arXiv:2410.00193, 2024
12024
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
12024
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Artikelen 1–15