Zi Lin

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 36

Top Topics

Top Venues

EMNLP (Findings)

Publications

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 (2024)
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)
Zi Lin, Du Phan, Panupong Pasupat, Jeremiah Zhe Liu, Jingbo Shang
On Compositional Uncertainty Quantification for Seq2seq Graph Parsing. ICLR (2023)
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)
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 (2023)
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 (2023)
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 (2023)
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)
Yuguang Duan, Zi Lin, Weiwei Sun
Is Argument Structure of Learner Chinese Understandable: A Corpus-Based Analysis. CoRR (2023)
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 (2023)
Zi Lin, Jeremiah Liu, Jingbo Shang
Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification. CoRR (2023)
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)
Liangchen Luo, Zi Lin, Yinxiao Liu, Lei Shu, Yun Zhu, Jingbo Shang, Lei Meng
Critique Ability of Large Language Models. CoRR (2023)
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 (2023)
Zi Lin, Jeremiah Zhe Liu, Jingbo Shang
Towards Collaborative Neural-Symbolic Graph Semantic Parsing via Uncertainty. ACL (Findings) (2022)
Zi Lin, Jeremiah Liu, Jingbo Shang
Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification. EMNLP (2022)
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 (2022)
Ian D. Kivlichan, Zi Lin, Jeremiah Z. Liu, Lucy Vasserman
Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation. CoRR (2021)
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 (2021)
Junjie Cao, Zi Lin, Weiwei Sun, Xiaojun Wan
Comparing Knowledge-Intensive and Data-Intensive Models for English Resource Semantic Parsing. Comput. Linguistics 47 (1) (2021)
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 (2020)
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)
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)
Zi Lin, Manli Zhong, Xiangzhu Zeng, Chuyang Ye
Frequency-Selective Learning for CT to MR Synthesis. SASHIMI@MICCAI (2020)
Liangchen Luo, Mark Sandler, Zi Lin, Andrey Zhmoginov, Andrew Howard
Large-Scale Generative Data-Free Distillation. CoRR (2020)
Zi Lin, Jeremiah Zhe Liu, Zi Yang, Nan Hua, Dan Roth
Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior. CoRR (2020)
Zi Lin, Yang Liu
Implanting Rational Knowledge into Distributed Representation at Morpheme Level. AAAI (2019)
Zhiqing Sun, Zhuohan Li, Haoqing Wang, Di He, Zi Lin, Zhi-Hong Deng
Fast Structured Decoding for Sequence Models. NeurIPS (2019)
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)
Zhuohan Li, Zi Lin, Di He, Fei Tian, Tao Qin, Liwei Wang, Tie-Yan Liu
Hint-Based Training for Non-Autoregressive Machine Translation. CoRR (2019)
Zhiqing Sun, Zhuohan Li, Haoqing Wang, Zi Lin, Di He, Zhi-Hong Deng
Fast Structured Decoding for Sequence Models. CoRR (2019)
Junjie Cao, Zi Lin, Weiwei Sun, Xiaojun Wan
A Comparative Analysis of Knowledge-Intensive and Data-Intensive Semantic Parsers. CoRR (2019)
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 (2018)
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) (2018)
Zi Lin, Yang Liu
Implanting Rational Knowledge into Distributed Representation at Morpheme Level. CoRR (2018)
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)
Qiyan Wang, Zi Lin, Nikita Borisov, Nicholas Hopper
rBridge: User Reputation based Tor Bridge Distribution with Privacy Preservation. NDSS (2013)
Zi Lin, Nicholas Hopper
New Attacks on Timing-based Network Flow Watermarks. USENIX Security Symposium (2012)
Zi Lin, Denis Foo Kune, Nicholas Hopper
Efficient Private Proximity Testing with GSM Location Sketches. Financial Cryptography (2012)
Zi Lin, Nicholas Hopper
Jack: scalable accumulator-based nymble system. WPES (2010)
Zi Lin, Bingsheng He, Byron Choi
A Quantitative Summary of XML Structures. ER (2006)