Yu Gai - RankMe

14 papers A* 2C 1Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models. CoRR Chejian Xu, Jiawei Zhang, Zhaorun Chen, Chulin Xie, Mintong Kang, Yujin Potter, Zhun Wang, Zhuowen Yuan, Alexander Xiong, Zidi Xiong, Chenhui Zhang, Lingzhi Yuan, Yi Zeng, Peiyang Xu, Chengquan Guo, Andy Zhou, Jeffrey Ziwei Tan, Xuandong Zhao, Francesco Pinto, Zhen Xiang, Yu Gai, Zinan Lin, Dan Hendrycks, Bo Li, Dawn Song
2025	J	`jnl`	Why and How LLMs Hallucinate: Connecting the Dots with Subsequence Associations. CoRR Yiyou Sun, Yu Gai, Lijie Chen, Abhilasha Ravichander, Yejin Choi, Dawn Song
2024	J	`jnl`	KnowHalu: Hallucination Detection via Multi-Form Knowledge Based Factual Checking. CoRR Jiawei Zhang, Chejian Xu, Yu Gai, Freddy Lécué, Dawn Song, Bo Li
2023	J	`jnl`	Blockchain Large Language Models. CoRR Yu Gai, Liyi Zhou, Kaihua Qin, Dawn Song, Arthur Gervais
2023	J	`jnl`	Blockchain Large Language Models. IACR Cryptol. ePrint Arch. Yu Gai, Liyi Zhou, Kaihua Qin, Dawn Song, Arthur Gervais
2022	C	`conf`	Practical Convex Formulations of One-hidden-layer Neural Network Adversarial Training. ACC Yatong Bai, Tanmay Gautam, Yu Gai, Somayeh Sojoudi
2021	J	`jnl`	Grounded Graph Decoding Improves Compositional Generalization in Question Answering. CoRR Yu Gai, Paras Jain, Wendi Zhang, Joseph E. Gonzalez, Dawn Song, Ion Stoica
2021	—	`conf`	Grounded Graph Decoding improves Compositional Generalization in Question Answering. EMNLP (Findings) Yu Gai, Paras Jain, Wendi Zhang, Joseph Gonzalez, Dawn Song, Ion Stoica
2021	J	`jnl`	Practical Convex Formulation of Robust One-hidden-layer Neural Network Training. CoRR Yatong Bai, Tanmay Gautam, Yu Gai, Somayeh Sojoudi
2020	A*	`conf`	A Statistical Framework for Low-bitwidth Training of Deep Neural Networks. NeurIPS Jianfei Chen, Yu Gai, Zhewei Yao, Michael W. Mahoney, Joseph E. Gonzalez
2020	J	`jnl`	A Statistical Framework for Low-bitwidth Training of Deep Neural Networks. CoRR Jianfei Chen, Yu Gai, Zhewei Yao, Michael W. Mahoney, Joseph E. Gonzalez
2019	J	`jnl`	Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs. CoRR 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
2018	A*	`conf`	Loss Functions for Multiset Prediction. NeurIPS Sean Welleck, Zixin Yao, Yu Gai, Jialin Mao, Zheng Zhang, Kyunghyun Cho
2017	J	`jnl`	Loss Functions for Multiset Prediction. CoRR Sean Welleck, Zixin Yao, Yu Gai, Jialin Mao, Zheng Zhang, Kyunghyun Cho