Zi Lin
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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) 2 (3), 6, 2023
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, ...
Advances in Neural Information Processing Systems 36, 2024
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
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
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
Lmsys-chat-1m: A large-scale real-world llm conversation dataset
L Zheng, WL Chiang, Y Sheng, T Li, S Zhuang, Z Wu, Y Zhuang, Z Li, ...
arXiv preprint arXiv:2309.11998, 2023
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, ...
Journal of Machine Learning Research 24 (42), 1-63, 2023
Toxicchat: Unveiling hidden challenges of toxicity detection in real-world user-ai conversation
Z Lin, Z Wang, Y Tong, Y Wang, Y Guo, Y Wang, J Shang
arXiv preprint arXiv:2310.17389, 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
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
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
Parsing meaning representations: Is easier always better?
Z Lin, N Xue
Proceedings of the first international workshop on designing meaning …, 2019
Eliminating Reasoning via Inferring with Planning: A New Framework to Guide LLMs' Non-linear Thinking
Y Tong, Y Wang, D Li, S Wang, Z Lin, S Han, J Shang
arXiv preprint arXiv:2310.12342, 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
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
Critique ability of large language models
L Luo, Z Lin, Y Liu, L Shu, Y Zhu, J Shang, L Meng
arXiv preprint arXiv:2310.04815, 2023
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 …, 2022
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
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