Yu Gai

According to our database, Yu Gai authored at least 8 papers between 2018 and 2024.

Collaborative distances:

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

2024

KnowHalu: Hallucination Detection via Multi-Form Knowledge Based Factual Checking.

Jiawei Zhang, Chejian Xu, Yu Gai, Freddy Lécué, Dawn Song, Bo Li

CoRR, 2024

2023

Blockchain Large Language Models.

Yu Gai, Liyi Zhou, Kaihua Qin, Dawn Song, Arthur Gervais

IACR Cryptol. ePrint Arch., 2023

2022

Practical Convex Formulations of One-hidden-layer Neural Network Adversarial Training.

Yatong Bai, Tanmay Gautam, Yu Gai, Somayeh Sojoudi

Proceedings of the American Control Conference, 2022

2021

Practical Convex Formulation of Robust One-hidden-layer Neural Network Training.

Yatong Bai, Tanmay Gautam, Yu Gai, Somayeh Sojoudi

CoRR, 2021

Grounded Graph Decoding improves Compositional Generalization in Question Answering.

Yu Gai, Paras Jain, Wendi Zhang, Joseph Gonzalez, Dawn Song, Ion Stoica

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

A Statistical Framework for Low-bitwidth Training of Deep Neural Networks.

Jianfei Chen, Yu Gai, Zhewei Yao, Michael W. Mahoney, Joseph E. Gonzalez

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs.

Minjie Wang, Lingfan Yu, Da Zheng, Quan Gan, Yu Gai, Zihao Ye, Mufei Li, Jinjing Zhou, Qi Huang, Chao Ma, Ziyue Huang, Qipeng Guo, Hao Zhang, Haibin Lin, Junbo Zhao, Jinyang Li, Alexander J. Smola, Zheng Zhang

CoRR, 2019

2018

Loss Functions for Multiset Prediction.

Sean Welleck, Zixin Yao, Yu Gai, Jialin Mao, Zheng Zhang, Kyunghyun Cho

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018