Chen, Lingjiao

18 publications

DMLR 2025 Data Acquisition: A New Frontier in Data-Centric AI Lingjiao Chen, Bilge Acun, Newsha Ardalani, Yifan Sun, Feiyang Kang, Hanrui Lyu, Yongchan Kwon, Ruoxi Jia, Carole-Jean Wu, Matei Zaharia, James Zou

NeurIPS 2025 MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Lingjiao Chen, Dongmei Zhang, Surajit Chaudhuri, H. V. Jagadish

NeurIPS 2024 Are More LLM Calls All You Need? Towards the Scaling Properties of Compound AI Systems Lingjiao Chen, Jared Davis, Boris Hanin, Peter Bailis, Ion Stoica, Matei Zaharia, James Zou

TMLR 2024 FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance Lingjiao Chen, Matei Zaharia, James Zou

ICML 2024 Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews Weixin Liang, Zachary Izzo, Yaohui Zhang, Haley Lepp, Hancheng Cao, Xuandong Zhao, Lingjiao Chen, Haotian Ye, Sheng Liu, Zhi Huang, Daniel Mcfarland, James Y. Zou

NeurIPSW 2023 Analyzing ChatGPT’s Behavior Shifts over Time Lingjiao Chen, Matei Zaharia, James Zou

NeurIPS 2023 DataPerf: Benchmarks for Data-Centric AI Development Mark Mazumder, Colby Banbury, Xiaozhe Yao, Bojan Karlaš, William Gaviria Rojas, Sudnya Diamos, Greg Diamos, Lynn He, Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Will Cukierski, Juan Ciro, Lora Aroyo, Bilge Acun, Lingjiao Chen, Mehul Raje, Max Bartolo, Evan Sabri Eyuboglu, Amirata Ghorbani, Emmett Goodman, Addison Howard, Oana Inel, Tariq Kane, Christine R. Kirkpatrick, D. Sculley, Tzu-Sheng Kuo, Jonas W Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen Paritosh, Ce Zhang, James Y Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi

AAAI 2023 HAPI Explorer: Comprehension, Discovery, and Explanation on History of ML APIs Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Huamin Qu, Christopher Ré, Matei Zaharia, James Zou

ICMLW 2023 Less Is More: Using Multiple LLMs for Applications with Lower Costs Lingjiao Chen, Matei Zaharia, James Zou

ICML 2022 Efficient Online ML API Selection for Multi-Label Classification Tasks Lingjiao Chen, Matei Zaharia, James Zou

NeurIPS 2022 Estimating and Explaining Model Performance When Both Covariates and Labels Shift Lingjiao Chen, Matei Zaharia, James Y Zou

NeurIPS 2022 HAPI: A Large-Scale Longitudinal Dataset of Commercial ML API Predictions Lingjiao Chen, Zhihua Jin, Evan Sabri Eyuboglu, Christopher Ré, Matei Zaharia, James Y Zou

ICLR 2022 How Did the Model Change? Efficiently Assessing Machine Learning API Shifts Lingjiao Chen, Matei Zaharia, James Zou

NeurIPSW 2022 Is Unsupervised Performance Estimation Impossible When Both Covariates and Labels Shift? Lingjiao Chen, Matei Zaharia, James Y. Zou

NeurIPS 2020 FrugalML: How to Use ML Prediction APIs More Accurately and Cheaply Lingjiao Chen, Matei Zaharia, James Y Zou

ICML 2018 DRACO: Byzantine-Resilient Distributed Training via Redundant Gradients Lingjiao Chen, Hongyi Wang, Zachary Charles, Dimitris Papailiopoulos

ICML 2018 Reinforcing Adversarial Robustness Using Model Confidence Induced by Adversarial Training Xi Wu, Uyeong Jang, Jiefeng Chen, Lingjiao Chen, Somesh Jha

NeurIPS 2018 The Effect of Network Width on the Performance of Large-Batch Training Lingjiao Chen, Hongyi Wang, Jinman Zhao, Dimitris Papailiopoulos, Paraschos Koutris