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2020 – today
- 2024
[c19]Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Tianle Li, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zhuohan Li, Zi Lin, Eric P. Xing, Joseph E. Gonzalez, Ion Stoica, Hao Zhang:
LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset. ICLR 2024- [i18]Yongqi Tong, Sizhe Wang, Dawei Li, Yifan Wang, Simeng Han, Zi Lin, Chengsong Huang, Jiaxin Huang, Jingbo Shang:
Optimizing Language Model's Reasoning Abilities with Weak Supervision. CoRR abs/2405.04086 (2024) - 2023
- [j4]Jeremiah Zhe Liu, Shreyas Padhy, Jie Ren, Zi Lin, Yeming Wen, Ghassen Jerfel, Zachary Nado, Jasper Snoek, Dustin Tran, Balaji Lakshminarayanan:
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness. J. Mach. Learn. Res. 24: 42:1-42:63 (2023) - [c18]Zi Lin, Zihan Wang, Yongqi Tong, Yangkun Wang, Yuxin Guo, Yujia Wang, Jingbo Shang:
ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation. EMNLP (Findings) 2023: 4694-4702 - [c17]Zi Lin, Quan Yuan, Panupong Pasupat, Jeremiah Z. Liu, Jingbo Shang:
Retrieval-Augmented Parsing for Complex Graphs by Exploiting Structure and Uncertainty. EMNLP (Findings) 2023: 6330-6345 - [c16]Zi Lin, Du Phan, Panupong Pasupat, Jeremiah Zhe Liu, Jingbo Shang:
On Compositional Uncertainty Quantification for Seq2seq Graph Parsing. ICLR 2023 - [c15]Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric P. Xing, Hao Zhang, Joseph E. Gonzalez, Ion Stoica:
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena. NeurIPS 2023 - [i17]Zi Lin, Jeremiah Z. Liu, Jingbo Shang:
Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification. CoRR abs/2301.11459 (2023) - [i16]Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric P. Xing, Hao Zhang, Joseph E. Gonzalez, Ion Stoica:
Judging LLM-as-a-judge with MT-Bench and Chatbot Arena. CoRR abs/2306.05685 (2023) - [i15]Yuguang Duan, Zi Lin, Weiwei Sun:
Is Argument Structure of Learner Chinese Understandable: A Corpus-Based Analysis. CoRR abs/2308.09186 (2023) - [i14]Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Tianle Li, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zhuohan Li, Zi Lin, Eric P. Xing, Joseph E. Gonzalez
, Ion Stoica, Hao Zhang:
LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset. CoRR abs/2309.11998 (2023) - [i13]Liangchen Luo, Zi Lin, Yinxiao Liu, Lei Shu, Yun Zhu, Jingbo Shang, Lei Meng:
Critique Ability of Large Language Models. CoRR abs/2310.04815 (2023) - [i12]Yongqi Tong, Yifan Wang, Dawei Li, Sizhe Wang, Zi Lin, Simeng Han, Jingbo Shang:
Eliminating Reasoning via Inferring with Planning: A New Framework to Guide LLMs' Non-linear Thinking. CoRR abs/2310.12342 (2023) - [i11]Zi Lin, Zihan Wang, Yongqi Tong, Yangkun Wang, Yuxin Guo, Yujia Wang, Jingbo Shang:
ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation. CoRR abs/2310.17389 (2023) - 2022
- [c14]Zi Lin, Jeremiah Zhe Liu, Jingbo Shang:
Towards Collaborative Neural-Symbolic Graph Semantic Parsing via Uncertainty. ACL (Findings) 2022: 4160-4173 - [c13]Zi Lin, Jeremiah Z. Liu, Jingbo Shang:
Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification. EMNLP 2022: 4759-4776 - [i10]Jeremiah Zhe Liu, Shreyas Padhy, Jie Ren, Zi Lin, Yeming Wen, Ghassen Jerfel, Zack Nado, Jasper Snoek, Dustin Tran, Balaji Lakshminarayanan:
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness. CoRR abs/2205.00403 (2022) - 2021
- [j3]Junjie Cao, Zi Lin, Weiwei Sun, Xiaojun Wan:
Comparing Knowledge-Intensive and Data-Intensive Models for English Resource Semantic Parsing. Comput. Linguistics 47(1): 43-68 (2021) - [j2]Tiantian Zhu, Lei Fu, Qiang Liu, Zi Lin, Yan Chen, Tieming Chen:
One Cycle Attack: Fool Sensor-Based Personal Gait Authentication With Clustering. IEEE Trans. Inf. Forensics Secur. 16: 553-568 (2021) - [i9]Ian D. Kivlichan, Zi Lin, Jeremiah Z. Liu, Lucy Vasserman:
Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation. CoRR abs/2107.04212 (2021) - 2020
- [c12]Zi Lin, Jeremiah Z. Liu, Zi Yang, Nan Hua, Dan Roth:
Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior. EMNLP (Findings) 2020: 719-730 - [c11]Zi Lin, Manli Zhong, Xiangzhu Zeng, Chuyang Ye:
Frequency-Selective Learning for CT to MR Synthesis. SASHIMI@MICCAI 2020: 101-109 - [c10]Jeremiah Z. Liu, Zi Lin, Shreyas Padhy, Dustin Tran, Tania Bedrax-Weiss, Balaji Lakshminarayanan:
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness. NeurIPS 2020 - [i8]Jeremiah Zhe Liu, Zi Lin, Shreyas Padhy, Dustin Tran, Tania Bedrax-Weiss, Balaji Lakshminarayanan:
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness. CoRR abs/2006.10108 (2020) - [i7]Zi Lin, Jeremiah Zhe Liu, Zi Yang, Nan Hua, Dan Roth:
Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior. CoRR abs/2010.01791 (2020) - [i6]Liangchen Luo, Mark Sandler, Zi Lin, Andrey Zhmoginov, Andrew Howard:
Large-Scale Generative Data-Free Distillation. CoRR abs/2012.05578 (2020)
2010 – 2019
- 2019
- [c9]Zi Lin, Yang Liu:
Implanting Rational Knowledge into Distributed Representation at Morpheme Level. AAAI 2019: 2954-2961 - [c8]Zhuohan Li, Zi Lin, Di He, Fei Tian, Tao Qin, Liwei Wang, Tie-Yan Liu:
Hint-Based Training for Non-Autoregressive Machine Translation. EMNLP/IJCNLP (1) 2019: 5707-5712 - [c7]Zhiqing Sun, Zhuohan Li, Haoqing Wang, Di He, Zi Lin, Zhi-Hong Deng:
Fast Structured Decoding for Sequence Models. NeurIPS 2019: 3011-3020 - [i5]Junjie Cao, Zi Lin, Weiwei Sun, Xiaojun Wan:
A Comparative Analysis of Knowledge-Intensive and Data-Intensive Semantic Parsers. CoRR abs/1907.02298 (2019) - [i4]Zhuohan Li, Zi Lin, Di He, Fei Tian, Tao Qin, Liwei Wang, Tie-Yan Liu:
Hint-Based Training for Non-Autoregressive Machine Translation. CoRR abs/1909.06708 (2019) - [i3]Zhiqing Sun, Zhuohan Li, Haoqing Wang, Zi Lin, Di He, Zhi-Hong Deng:
Fast Structured Decoding for Sequence Models. CoRR abs/1910.11555 (2019) - 2018
- [j1]Lei Ren, Shujia Xu, Jie Gao, Zi Lin, Zhipeng Chen, Bin Liu, Liang Liang, Lelun Jiang:
Fabrication of Flexible Microneedle Array Electrodes for Wearable Bio-Signal Recording. Sensors 18(4): 1191 (2018) - [c6]Zi Lin, Yuguang Duan, Yuanyuan Zhao, Weiwei Sun, Xiaojun Wan:
Semantic Role Labeling for Learner Chinese: the Importance of Syntactic Parsing and L2-L1 Parallel Data. EMNLP 2018: 3793-3802 - [i2]Zi Lin, Yuguang Duan, Yuanyuan Zhao, Weiwei Sun, Xiaojun Wan:
Semantic Role Labeling for Learner Chinese: the Importance of Syntactic Parsing and L2-L1 Parallel Data. CoRR abs/1808.09409 (2018) - [i1]Zi Lin, Yang Liu:
Implanting Rational Knowledge into Distributed Representation at Morpheme Level. CoRR abs/1811.10188 (2018) - 2013
- [c5]Qiyan Wang, Zi Lin, Nikita Borisov, Nicholas Hopper:
rBridge: User Reputation based Tor Bridge Distribution with Privacy Preservation. NDSS 2013 - 2012
- [c4]Zi Lin, Denis Foo Kune, Nicholas Hopper:
Efficient Private Proximity Testing with GSM Location Sketches. Financial Cryptography 2012: 73-88 - [c3]Zi Lin, Nicholas Hopper:
New Attacks on Timing-based Network Flow Watermarks. USENIX Security Symposium 2012: 381-396 - 2010
- [c2]Zi Lin, Nicholas Hopper:
Jack: scalable accumulator-based nymble system. WPES 2010: 53-62
2000 – 2009
- 2006
- [c1]Zi Lin, Bingsheng He, Byron Choi:
A Quantitative Summary of XML Structures. ER 2006: 228-240
Coauthor Index
aka: Jeremiah Zhe Liu
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