Tianqi Liu
Tianqi Liu
Google DeepMind
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Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
Large language models are effective text rankers with pairwise ranking prompting
Z Qin, R Jagerman, K Hui, H Zhuang, J Wu, J Shen, T Liu, J Liu, D Metzler, ...
2024 Annual Conference of the North American Chapter of the Association for …, 2024
Slic-hf: Sequence likelihood calibration with human feedback
Y Zhao, R Joshi, T Liu, M Khalman, M Saleh, PJ Liu
arXiv preprint arXiv:2305.10425, 2023
Statistical rejection sampling improves preference optimization
T Liu, Y Zhao, R Joshi, M Khalman, M Saleh, PJ Liu, J Liu
ICLR 2024, 2024
Characterizing spatiotemporal transcriptome of the human brain via low-rank tensor decomposition
T Liu, M Yuan, H Zhao
Statistics in Biosciences 14 (3), 485-513, 2022
A deep probabilistic model for customer lifetime value prediction
X Wang, T Liu, J Miao
arXiv preprint arXiv:1912.07753, 2019
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ...
arXiv preprint arXiv:2403.05530, 2024
Newsembed: Modeling news through pre-trained document representations
J Liu, T Liu, C Yu
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
Direct language model alignment from online ai feedback
S Guo, B Zhang, T Liu, T Liu, M Khalman, F Llinares, A Rame, T Mesnard, ...
arXiv preprint arXiv:2402.04792, 2024
Clustering high-dimensional data via feature selection
T Liu, Y Lu, B Zhu, H Zhao
Biometrics 79 (2), 940-950, 2023
Do not blindly imitate the teacher: Using perturbed loss for knowledge distillation
R Zhang, J Shen, T Liu, J Liu, M Bendersky, M Najork, C Zhang
KDD 2024, 2023
Training ELECTRA augmented with multi-word selection
J Shen, J Liu, T Liu, C Yu, J Han
Findings of ACL 2021, 2021
LiPO: Listwise Preference Optimization through Learning-to-Rank
T Liu, Z Qin, J Wu, J Shen, M Khalman, R Joshi, Y Zhao, M Saleh, ...
arXiv preprint arXiv:2402.01878, 2024
BERT for large-scale video segment classification with test-time augmentation
T Liu, Q Shao
ICCV 2019 Workshop, 2019
Constrained-size tensorflow models for youtube-8m video understanding challenge
T Liu, B Liu
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
Ultrahigh dimensional feature selection via kernel canonical correlation analysis
T Liu, KY Lee, H Zhao
arXiv preprint arXiv:1604.07354, 2016
Explanation-aware soft ensemble empowers large language model in-context learning
Y Yu, J Shen, T Liu, Z Qin, JN Yan, J Liu, C Zhang, M Bendersky
ACL 2024, 2023
Learning causal networks via additive faithfulness
KY Lee, T Liu, B Li, H Zhao
Journal of Machine Learning Research 21 (51), 1-38, 2020
Human Alignment of Large Language Models through Online Preference Optimisation
D Calandriello, D Guo, R Munos, M Rowland, Y Tang, BA Pires, ...
ICML 2024, 2024
Video Summarization: Towards Entity-Aware Captions
HA Ayyubi, T Liu, A Nagrani, X Lin, M Zhang, A Arnab, F Han, Y Zhu, J Liu, ...
arXiv preprint arXiv:2312.02188, 2023
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