Zi Lin
Zi Lin
Vahvistettu sähköpostiosoite verkkotunnuksessa - Kotisivu
Simple and principled uncertainty estimation with deterministic deep learning via distance awareness
JZ Liu, Z Lin, S Padhy, D Tran, T Bedrax-Weiss, B Lakshminarayanan
Advances in Neural Information Processing Systems, 2020
Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality
WL Chiang, Z Li, Z Lin, Y Sheng, Z Wu, H Zhang, L Zheng, S Zhuang, ...
See https://vicuna. lmsys. org (accessed 14 April 2023), 2023
Fast structured decoding for sequence models
Z Sun, Z Li, H Wang, D He, Z Lin, Z Deng
Advances in Neural Information Processing Systems, 2019
Judging LLM-as-a-judge with MT-Bench and Chatbot Arena
L Zheng, WL Chiang, Y Sheng, S Zhuang, Z Wu, Y Zhuang, Z Lin, Z Li, ...
arXiv preprint arXiv:2306.05685, 2023
Hint-Based Training for Non-Autoregressive Machine Translation
Z Li, Z Lin, D He, F Tian, T Qin, L Wang, TY Liu
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
Large-scale generative data-free distillation
L Luo, M Sandler, Z Lin, A Zhmoginov, A Howard
arXiv preprint arXiv:2012.05578, 2020
Pruning redundant mappings in transformer models via spectral-normalized identity prior
Z Lin, JZ Liu, Z Yang, N Hua, D Roth
Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness.
JZ Liu, S Padhy, J Ren, Z Lin, Y Wen, G Jerfel, Z Nado, J Snoek, D Tran, ...
J. Mach. Learn. Res. 24, 42:1-42:63, 2023
Measuring and improving model-moderator collaboration using uncertainty estimation
ID Kivlichan, Z Lin, J Liu, L Vasserman
Proceedings of the 5th Workshop on Online Abuse and Harms (WOAH 2021), 36-53, 2021
Parsing meaning representations: Is easier always better?
Z Lin, N Xue
Proceedings of the first international workshop on designing meaning …, 2019
Implanting rational knowledge into distributed representation at morpheme level
Z Lin, Y Liu
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2954-2961, 2019
Towards a Description of Chinese Morphemic Concepts and Semantic Word-Formation
Y Liu, Z Lin, S Kang
Journal of Chinese Information Processing 32 (2), 11-20, 2018
Towards collaborative neural-symbolic graph semantic parsing via uncertainty
Z Lin, JZ Liu, J Shang
Findings of the Association for Computational Linguistics: ACL 2022, 2022
Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification
Z Lin, J Liu, J Shang
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2023
Comparing knowledge-intensive and data-intensive models for english resource semantic parsing
J Cao, Z Lin, W Sun, X Wan
Computational Linguistics 47 (1), 43-68, 2021
Semantic Role Labeling for Learner Chinese: the Importance of Syntactic Parsing and L2-L1 Parallel Data
Z Lin, Y Duan, Y Zhao, W Sun, X Wan
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
On Compositional Uncertainty Quantification for Seq2seq Graph Parsing
Z Lin, D Phan, P Pasupat, JZ Liu, J Shang
The Eleventh International Conference on Learning Representations, 2023
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