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ORCIDJing Nathan Yan
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2020 – today
- 2024
[c11]Jing Nathan Yan, Tianqi Liu, Justin T. Chiu, Jiaming Shen, Zhen Qin, Yue Yu, Charumathi Lakshmanan, Yair Kurzion, Alexander M. Rush, Jialu Liu, Michael Bendersky:
Predicting Text Preference Via Structured Comparative Reasoning. ACL (1) 2024: 10040-10060- [c10]Yue Yu, Jiaming Shen, Tianqi Liu, Zhen Qin, Jing Nathan Yan, Jialu Liu, Chao Zhang, Michael Bendersky:
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning. ACL (1) 2024: 14002-14024 - [c9]Jing Nathan Yan, Jiatao Gu, Alexander M. Rush:
Diffusion Models Without Attention. CVPR 2024: 8239-8249 - [i10]Junxiong Wang, Tushaar Gangavarapu, Jing Nathan Yan, Alexander M. Rush:
MambaByte: Token-free Selective State Space Model. CoRR abs/2401.13660 (2024) - [i9]Qi Sun, Zhiyang Guo, Ziyu Wan, Jing Nathan Yan, Shengming Yin, Wengang Zhou, Jing Liao, Houqiang Li:
EG4D: Explicit Generation of 4D Object without Score Distillation. CoRR abs/2405.18132 (2024) - [i8]Yi Lu, Jing Nathan Yan, Songlin Yang, Justin T. Chiu, Siyu Ren, Fei Yuan, Wenting Zhao, Zhiyong Wu, Alexander M. Rush:
A Controlled Study on Long Context Extension and Generalization in LLMs. CoRR abs/2409.12181 (2024) - 2023
- [c8]Wang-Chiew Tan, Jane Dwivedi-Yu, Yuliang Li, Lambert Mathias, Marzieh Saeidi, Jing Nathan Yan, Alon Y. Halevy:
TimelineQA: A Benchmark for Question Answering over Timelines. ACL (Findings) 2023: 77-91 - [c7]Junxiong Wang, Jing Nathan Yan, Albert Gu, Alexander M. Rush:
Pretraining Without Attention. EMNLP (Findings) 2023: 58-69 - [i7]Wang-Chiew Tan, Jane Dwivedi-Yu, Yuliang Li, Lambert Mathias, Marzieh Saeidi, Jing Nathan Yan, Alon Y. Halevy:
TimelineQA: A Benchmark for Question Answering over Timelines. CoRR abs/2306.01069 (2023) - [i6]Yue Yu, Jiaming Shen, Tianqi Liu, Zhen Qin, Jing Nathan Yan, Jialu Liu, Chao Zhang, Michael Bendersky:
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning. CoRR abs/2311.07099 (2023) - [i5]Jing Nathan Yan, Tianqi Liu, Justin T. Chiu, Jiaming Shen, Zhen Qin, Yue Yu, Yao Zhao, Charu Lakshmanan, Yair Kurzion, Alexander M. Rush, Jialu Liu, Michael Bendersky:
On What Basis? Predicting Text Preference Via Structured Comparative Reasoning. CoRR abs/2311.08390 (2023) - [i4]Jing Nathan Yan, Jiatao Gu, Alexander M. Rush:
Diffusion Models Without Attention. CoRR abs/2311.18257 (2023) - 2022
- [j1]Jinglin Peng, Weiyuan Wu, Jing Nathan Yan, Danrui Qi, Jeffrey M. Rzeszotarski, Jiannan Wang:
User Interfaces for Exploratory Data Analysis: A Survey of Open-Source and Commercial Tools. IEEE Data Eng. Bull. 45(3): 116-128 (2022) - [c6]Hanyuan Zhang, Siqiang Luo
, Jieming Shi, Jing Nathan Yan, Weiwei Sun:
Example-based Spatial Search at Scale. ICDE 2022: 539-551 - [i3]Junxiong Wang, Jing Nathan Yan, Albert Gu, Alexander M. Rush:
Pretraining Without Attention. CoRR abs/2212.10544 (2022) - 2021
- [c5]Jing Nathan Yan, Ziwei Gu, Jeffrey M. Rzeszotarski:
Tessera: Discretizing Data Analysis Workflows on a Task Level. CHI 2021: 20:1-20:15 - [c4]Jinglin Peng, Weiyuan Wu, Brandon Lockhart, Song Bian, Jing Nathan Yan, Linghao Xu, Zhixuan Chi, Jeffrey M. Rzeszotarski, Jiannan Wang:
DataPrep.EDA: Task-Centric Exploratory Data Analysis for Statistical Modeling in Python. SIGMOD Conference 2021: 2271-2280 - [c3]Ziwei Gu, Jing Nathan Yan, Jeffrey M. Rzeszotarski:
Understanding User Sensemaking in Machine Learning Fairness Assessment Systems. WWW 2021: 658-668 - [i2]Jinglin Peng, Weiyuan Wu, Brandon Lockhart, Song Bian, Jing Nathan Yan, Linghao Xu, Zhixuan Chi, Jeffrey M. Rzeszotarski, Jiannan Wang:
DataPrep.EDA: Task-Centric Exploratory Data Analysis for Statistical Modeling in Python. CoRR abs/2104.00841 (2021) - 2020
- [c2]Jing Nathan Yan, Ziwei Gu, Hubert Lin, Jeffrey M. Rzeszotarski:
Silva: Interactively Assessing Machine Learning Fairness Using Causality. CHI 2020: 1-13 - [c1]Jing Nathan Yan, Oliver Schulte, Mohan Zhang, Jiannan Wang, Reynold Cheng:
SCODED: Statistical Constraint Oriented Data Error Detection. SIGMOD Conference 2020: 845-860
2010 – 2019
- 2019
- [i1]Jing Nathan Yan, Oliver Schulte, Jiannan Wang, Reynold Cheng:
Detecting Data Errors with Statistical Constraints. CoRR abs/1902.09711 (2019)
Coauthor Index
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