Eric Xing

According to our database, Eric Xing authored at least 10 papers between 2022 and 2024.

Collaborative distances:

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

2024

Counterfactual Generation with Identifiability Guarantees.

Hanqi Yan, Lingjing Kong, Lin Gui, Yuejie Chi, Eric Xing, Yulan He, Kun Zhang

CoRR, 2024

Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models.

Loka Li, Guangyi Chen, Yusheng Su, Zhenhao Chen, Yixuan Zhang, Eric Xing, Kun Zhang

CoRR, 2024

ALISON: Fast and Effective Stylometric Authorship Obfuscation.

Eric Xing, Saranya Venkatraman, Thai Le, Dongwon Lee

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

SegMix: A Simple Structure-Aware Data Augmentation Method.

Yuxin Pei, Pushkar Bhuse, Zhengzhong Liu, Eric Xing

CoRR, 2023

Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models.

Neha Sengupta, Sunil Kumar Sahu, Bokang Jia, Satheesh Katipomu, Haonan Li, Fajri Koto, Osama Mohammed Afzal, Samta Kamboj, Onkar Pandit, Rahul Pal, Lalit Pradhan, Zain Muhammad Mujahid, Massa Baali, Alham Fikri Aji, Zhengzhong Liu, Andy Hock, Andrew Feldman, Jonathan Lee, Andrew Jackson, Preslav Nakov, Timothy Baldwin, Eric Xing

CoRR, 2023

A Toolkit for Assessments in Introductory Programming Courses.

Eric Xing, Guangming Xing

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023

Temporally Disentangled Representation Learning under Unknown Nonstationarity.

Xiangchen Song, Weiran Yao, Yewen Fan, Xinshuai Dong, Guangyi Chen, Juan Carlos Niebles, Eric Xing, Kun Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Making Scalable Meta Learning Practical.

Sang Keun Choe, Sanket Vaibhav Mehta, Hwijeen Ahn, Willie Neiswanger, Pengtao Xie, Emma Strubell, Eric Xing

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Neural Network Decision-Making Criteria Consistency Analysis via Inputs Sensitivity.

Eric Xing, Liangliang Liu, Xin Xing, Yunni Qu, Nathan Jacobs, Gongbo Liang

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Beware the Black-Box of Medical Image Generation: an Uncertainty Analysis by the Learned Feature Space.

Yunni Qu, David Yan, Eric Xing, Fengbo Zheng, Jie Zhang, Liangliang Liu, Gongbo Liang

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022