Jing Nathan Yan

According to our database, Jing Nathan Yan authored at least 22 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Spend Your Rollouts Where It Counts: Rollout Allocation for Group-Based RL Post-Training.

Woojeong Kim, Ziyi Yang, Jing Nathan Yan, Jialu Liu

CoRR, May, 2026

The Efficiency Gap in Byte Modeling.

Celine Lee, Jing Nathan Yan, Chen Liang, Jiaxin Shi, Yin Zhang, Jeremiah Liu, Pengcheng Yin, Fernando Pereira, Ed H. Chi, Zhiyuan Cheng, Alexander M. Rush, Ruoxi Wang

CoRR, May, 2026

Fairness-in-the-Workflow: How Machine Learning Practitioners at Big Tech Companies Approach Fairness in Recommender Systems.

Jing Nathan Yan, Emma Harvey, Junxiong Wang, Jeffrey M. Rzeszotarski, Allison Koenecke

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

OverFill: Two-Stage Models for Efficient Language Model Decoding.

Woojeong Kim, Junxiong Wang, Jing Nathan Yan, Mohamed Abdelfattah, Alexander M. Rush

CoRR, August, 2025

Fairness Practices in Industry: A Case Study in Machine Learning Teams Building Recommender Systems.

Jing Nathan Yan, Junxiong Wang, Jeffrey M. Rzeszotarski, Allison Koenecke

CoRR, May, 2025

EG4D: Explicit Generation of 4D Object without Score Distillation.

Qi Sun, Zhiyang Guo, Ziyu Wan, Jing Nathan Yan, Shengming Yin, Wengang Zhou, Jing Liao, Houqiang Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

A Controlled Study on Long Context Extension and Generalization in LLMs.

Yi Lu, Jing Nathan Yan, Songlin Yang, Justin T. Chiu, Siyu Ren, Fei Yuan, Wenting Zhao, Zhiyong Wu, Alexander M. Rush

CoRR, 2024

MambaByte: Token-free Selective State Space Model.

Junxiong Wang, Tushaar Gangavarapu, Jing Nathan Yan, Alexander M. Rush

CoRR, 2024

Diffusion Models Without Attention.

Jing Nathan Yan, Jiatao Gu, Alexander M. Rush

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning.

Yue Yu, Jiaming Shen, Tianqi Liu, Zhen Qin, Jing Nathan Yan, Jialu Liu, Chao Zhang, Michael Bendersky

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Predicting Text Preference Via Structured Comparative Reasoning.

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

On What Basis? Predicting Text Preference Via Structured Comparative Reasoning.

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

CoRR, 2023

Pretraining Without Attention.

Junxiong Wang, Jing Nathan Yan, Albert Gu, Alexander M. Rush

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

TimelineQA: A Benchmark for Question Answering over Timelines.

Wang-Chiew Tan, Jane Dwivedi-Yu, Yuliang Li, Lambert Mathias, Marzieh Saeidi, Jing Nathan Yan, Alon Y. Halevy

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

User Interfaces for Exploratory Data Analysis: A Survey of Open-Source and Commercial Tools.

Jinglin Peng, Weiyuan Wu, Jing Nathan Yan, Danrui Qi, Jeffrey M. Rzeszotarski, Jiannan Wang

IEEE Data Eng. Bull., 2022

Example-based Spatial Search at Scale.

Hanyuan Zhang, Siqiang Luo, Jieming Shi, Jing Nathan Yan, Weiwei Sun

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Understanding User Sensemaking in Machine Learning Fairness Assessment Systems.

Ziwei Gu, Jing Nathan Yan, Jeffrey M. Rzeszotarski

Proceedings of the WWW '21: The Web Conference 2021, 2021

DataPrep.EDA: Task-Centric Exploratory Data Analysis for Statistical Modeling in Python.

Jinglin Peng, Weiyuan Wu, Brandon Lockhart, Song Bian, Jing Nathan Yan, Linghao Xu, Zhixuan Chi, Jeffrey M. Rzeszotarski, Jiannan Wang

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Tessera: Discretizing Data Analysis Workflows on a Task Level.

Jing Nathan Yan, Ziwei Gu, Jeffrey M. Rzeszotarski

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020

SCODED: Statistical Constraint Oriented Data Error Detection.

Jing Nathan Yan, Oliver Schulte, Mohan Zhang, Jiannan Wang, Reynold Cheng

Proceedings of the 2020 International Conference on Management of Data, 2020

Silva: Interactively Assessing Machine Learning Fairness Using Causality.

Jing Nathan Yan, Ziwei Gu, Hubert Lin, Jeffrey M. Rzeszotarski

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019

Detecting Data Errors with Statistical Constraints.

Jing Nathan Yan, Oliver Schulte, Jiannan Wang, Reynold Cheng

CoRR, 2019