Zi Lin - RankMe

42 papers A* 10A 1Journal 23Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Learning to Solve and Verify: A Self-Play Framework for Code and Test Generation. CoRR Zi Lin, Sheng Shen, Jingbo Shang, Jason Weston, Yixin Nie
2024	A*	`conf`	LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset. ICLR 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
2024	J	`jnl`	Optimizing Language Model's Reasoning Abilities with Weak Supervision. CoRR Yongqi Tong, Sizhe Wang, Dawei Li, Yifan Wang, Simeng Han, Zi Lin, Chengsong Huang, Jiaxin Huang, Jingbo Shang
2023	J	`jnl`	A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness. J. Mach. Learn. Res. Jeremiah Zhe Liu, Shreyas Padhy, Jie Ren, Zi Lin, Yeming Wen, Ghassen Jerfel, Zachary Nado, Jasper Snoek, Dustin Tran, Balaji Lakshminarayanan
2023	J	`jnl`	Critique Ability of Large Language Models. CoRR Liangchen Luo, Zi Lin, Yinxiao Liu, Lei Shu, Yun Zhu, Jingbo Shang, Lei Meng
2023	J	`jnl`	Eliminating Reasoning via Inferring with Planning: A New Framework to Guide LLMs' Non-linear Thinking. CoRR Yongqi Tong, Yifan Wang, Dawei Li, Sizhe Wang, Zi Lin, Simeng Han, Jingbo Shang
2023	J	`jnl`	Is Argument Structure of Learner Chinese Understandable: A Corpus-Based Analysis. CoRR Yuguang Duan, Zi Lin, Weiwei Sun
2023	A*	`conf`	Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena. NeurIPS 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
2023	J	`jnl`	Judging LLM-as-a-judge with MT-Bench and Chatbot Arena. CoRR 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
2023	J	`jnl`	LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset. CoRR 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
2023	J	`jnl`	Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification. CoRR Zi Lin, Jeremiah Z. Liu, Jingbo Shang
2023	A*	`conf`	On Compositional Uncertainty Quantification for Seq2seq Graph Parsing. ICLR Zi Lin, Du Phan, Panupong Pasupat, Jeremiah Zhe Liu, Jingbo Shang
2023	—	`conf`	Retrieval-Augmented Parsing for Complex Graphs by Exploiting Structure and Uncertainty. EMNLP (Findings) Zi Lin, Quan Yuan, Panupong Pasupat, Jeremiah Z. Liu, Jingbo Shang
2023	—	`conf`	ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation. EMNLP (Findings) Zi Lin, Zihan Wang, Yongqi Tong, Yangkun Wang, Yuxin Guo, Yujia Wang, Jingbo Shang
2023	J	`jnl`	ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation. CoRR Zi Lin, Zihan Wang, Yongqi Tong, Yangkun Wang, Yuxin Guo, Yujia Wang, Jingbo Shang
2022	J	`jnl`	A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness. CoRR Jeremiah Zhe Liu, Shreyas Padhy, Jie Ren, Zi Lin, Yeming Wen, Ghassen Jerfel, Zack Nado, Jasper Snoek, Dustin Tran, Balaji Lakshminarayanan
2022	A*	`conf`	Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification. EMNLP Zi Lin, Jeremiah Z. Liu, Jingbo Shang
2022	—	`conf`	Towards Collaborative Neural-Symbolic Graph Semantic Parsing via Uncertainty. ACL (Findings) Zi Lin, Jeremiah Zhe Liu, Jingbo Shang
2021	J	`jnl`	Comparing Knowledge-Intensive and Data-Intensive Models for English Resource Semantic Parsing. Comput. Linguistics Junjie Cao, Zi Lin, Weiwei Sun, Xiaojun Wan
2021	J	`jnl`	Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation. CoRR Ian D. Kivlichan, Zi Lin, Jeremiah Z. Liu, Lucy Vasserman
2021	J	`jnl`	One Cycle Attack: Fool Sensor-Based Personal Gait Authentication With Clustering. IEEE Trans. Inf. Forensics Secur. Tiantian Zhu, Lei Fu, Qiang Liu, Zi Lin, Yan Chen, Tieming Chen
2020	—	`conf`	Frequency-Selective Learning for CT to MR Synthesis. SASHIMI@MICCAI Zi Lin, Manli Zhong, Xiangzhu Zeng, Chuyang Ye
2020	J	`jnl`	Large-Scale Generative Data-Free Distillation. CoRR Liangchen Luo, Mark Sandler, Zi Lin, Andrey Zhmoginov, Andrew Howard
2020	—	`conf`	Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior. EMNLP (Findings) Zi Lin, Jeremiah Z. Liu, Zi Yang, Nan Hua, Dan Roth
2020	J	`jnl`	Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior. CoRR Zi Lin, Jeremiah Zhe Liu, Zi Yang, Nan Hua, Dan Roth
2020	A*	`conf`	Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness. NeurIPS Jeremiah Z. Liu, Zi Lin, Shreyas Padhy, Dustin Tran, Tania Bedrax-Weiss, Balaji Lakshminarayanan
2020	J	`jnl`	Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness. CoRR Jeremiah Zhe Liu, Zi Lin, Shreyas Padhy, Dustin Tran, Tania Bedrax-Weiss, Balaji Lakshminarayanan
2019	J	`jnl`	A Comparative Analysis of Knowledge-Intensive and Data-Intensive Semantic Parsers. CoRR Junjie Cao, Zi Lin, Weiwei Sun, Xiaojun Wan
2019	A*	`conf`	Fast Structured Decoding for Sequence Models. NeurIPS Zhiqing Sun, Zhuohan Li, Haoqing Wang, Di He, Zi Lin, Zhi-Hong Deng
2019	J	`jnl`	Fast Structured Decoding for Sequence Models. CoRR Zhiqing Sun, Zhuohan Li, Haoqing Wang, Zi Lin, Di He, Zhi-Hong Deng
2019	—	`conf`	Hint-Based Training for Non-Autoregressive Machine Translation. EMNLP/IJCNLP (1) Zhuohan Li, Zi Lin, Di He, Fei Tian, Tao Qin, Liwei Wang, Tie-Yan Liu
2019	J	`jnl`	Hint-Based Training for Non-Autoregressive Machine Translation. CoRR Zhuohan Li, Zi Lin, Di He, Fei Tian, Tao Qin, Liwei Wang, Tie-Yan Liu
2019	A*	`conf`	Implanting Rational Knowledge into Distributed Representation at Morpheme Level. AAAI Zi Lin, Yang Liu
2018	J	`jnl`	Fabrication of Flexible Microneedle Array Electrodes for Wearable Bio-Signal Recording. Sensors Lei Ren, Shujia Xu, Jie Gao, Zi Lin, Zhipeng Chen, Bin Liu, Liang Liang, Lelun Jiang
2018	J	`jnl`	Implanting Rational Knowledge into Distributed Representation at Morpheme Level. CoRR Zi Lin, Yang Liu
2018	A*	`conf`	Semantic Role Labeling for Learner Chinese: the Importance of Syntactic Parsing and L2-L1 Parallel Data. EMNLP Zi Lin, Yuguang Duan, Yuanyuan Zhao, Weiwei Sun, Xiaojun Wan
2018	J	`jnl`	Semantic Role Labeling for Learner Chinese: the Importance of Syntactic Parsing and L2-L1 Parallel Data. CoRR Zi Lin, Yuguang Duan, Yuanyuan Zhao, Weiwei Sun, Xiaojun Wan
2013	A*	`conf`	rBridge: User Reputation based Tor Bridge Distribution with Privacy Preservation. NDSS Qiyan Wang, Zi Lin, Nikita Borisov, Nicholas Hopper
2012	—	`conf`	Efficient Private Proximity Testing with GSM Location Sketches. Financial Cryptography Zi Lin, Denis Foo Kune, Nicholas Hopper
2012	A*	`conf`	New Attacks on Timing-based Network Flow Watermarks. USENIX Security Symposium Zi Lin, Nicholas Hopper
2010	—	`conf`	Jack: scalable accumulator-based nymble system. WPES Zi Lin, Nicholas Hopper
2006	A	`conf`	A Quantitative Summary of XML Structures. ER Zi Lin, Bingsheng He, Byron Choi