Intro
My name is GX.
I obtained BA in Computer Science and Government from Wesleyan, and am currently a MSCS student at UCLA.
I work on LMs and other deep generative models, DALLE/GLIDE/SSM;
Multi-modality is my current focus, aiming to use language-vision pretraining to create infrastructures and tools for game and animation making.
Meanwhile, fairness and equality in AI also intrigues me, aiming to build AIs that reduces social inequalities and biases.
Work
Recent Publications:
- ACL 2022 Findings:
On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark
Hao Sun*, Guangxuan Xu*, Jiawen Deng, Jiale Cheng, Chujie Zheng, Hao Zhou, Nanyun Peng, Xiaoyan Zhu, Minlie Huang
- Artificial Intelligience 2022:
Quantifying and Alleviating Political Bias in Language Models
Ruibo Liu, Chenyan Jia, Jason Wei, Guangxuan Xu, Soroush Vosoughi
- ICLR 2022:
Non-Parallel Text Style Transfer with Self-Parallel Supervision
Ruibo Liu, Chongyang Gao, Chenyan Jia, Guangxuan Xu, Soroush Vosoughi
- AAAI 2021 Outstanding Paper:
Mitigating Political Bias in Language Models through Reinforced Calibration
Ruibo Liu, Chenyan Jia, Jason Wei, Guangxuan Xu, Lili Wang, Soroush. Vosoughi
- EMNLP 2021:
Data boost: Text data augmentation through reinforcement learning guided conditional generation
Ruibo Liu, Guangxuan Xu, Chenyan Jia, Weicheng Ma, Lili Wang, Soroush Vosoughi
Blogs
I write blogs to document my research findings:
Tooling and Dataset to Detect Dialogue Unsafety, why context does matter
Contact
Plz feel free to email me for questions or collaboration on projects: gxu21@cs.ucla.edu
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i = 0;
while (!deck.isInOrder()) {
print 'Iteration ' + i;
deck.shuffle();
i++;
}
print 'It took ' + i + ' iterations to sort the deck.';
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