Yekun Chai

According to our database, Yekun Chai authored at least 28 papers between 2019 and 2024.

Collaborative distances:

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

2024

MA-RLHF: Reinforcement Learning from Human Feedback with Macro Actions.

Yekun Chai, Haoran Sun, Huang Fang, Shuohuan Wang, Yu Sun, Hua Wu

CoRR, 2024

Tokenization Falling Short: The Curse of Tokenization.

Yekun Chai, Yewei Fang, Qiwei Peng, Xuhong Li

CoRR, 2024

Dual Modalities of Text: Visual and Textual Generative Pre-training.

Yekun Chai, Qingyi Liu, Jingwu Xiao, Shuohuan Wang, Yu Sun, Hua Wu

CoRR, 2024

On Training Data Influence of GPT Models.

Qingyi Liu, Yekun Chai, Shuohuan Wang, Yu Sun, Qiwei Peng, Keze Wang, Hua Wu

CoRR, 2024

Aurora-M: The First Open Source Multilingual Language Model Red-teamed according to the U.S. Executive Order.

Taishi Nakamura, Mayank Mishra, Simone Tedeschi, Yekun Chai, Jason T. Stillerman, Felix Friedrich, Prateek Yadav, Tanmay Laud, Minh Chien Vu, Terry Yue Zhuo, Diganta Misra, Ben Bogin, Xuan-Son Vu, Marzena Karpinska, Arnav Varma Dantuluri, Wojciech Kusa, Tommaso Furlanello, Rio Yokota, Niklas Muennighoff, Suhas Pai, Tosin P. Adewumi, Veronika Laippala, Xiaozhe Yao, Adalberto Junior, Alpay Ariyak, Aleksandr Drozd, Jordan Clive, Kshitij Gupta, Liangyu Chen, Qi Sun, Ken Tsui, Noah Persaud, Nour Moustafa-Fahmy, Tianlong Chen, Mohit Bansal, Nicolo Monti, Tai Dang, Ziyang Luo, Tien-Tung Bui, Roberto Navigli, Virendra Mehta, Matthew Blumberg, Victor May, Huu Nguyen, Sampo Pyysalo

CoRR, 2024

StarCoder 2 and The Stack v2: The Next Generation.

Anton Lozhkov, Raymond Li, Loubna Ben Allal, Federico Cassano, Joel Lamy-Poirier, Nouamane Tazi, Ao Tang, Dmytro Pykhtar, Jiawei Liu, Yuxiang Wei, Tianyang Liu, Max Tian, Denis Kocetkov, Arthur Zucker, Younes Belkada, Zijian Wang, Qian Liu, Dmitry Abulkhanov, Indraneil Paul, Zhuang Li, Wen-Ding Li, Megan Risdal, Jia Li, Jian Zhu, Terry Yue Zhuo, Evgenii Zheltonozhskii, Nii Osae Osae Dade, Wenhao Yu, Lucas Krauß, Naman Jain, Yixuan Su, Xuanli He, Manan Dey, Edoardo Abati, Yekun Chai, Niklas Muennighoff, Xiangru Tang, Muhtasham Oblokulov, Christopher Akiki, Marc Marone, Chenghao Mou, Mayank Mishra, Alex Gu, Binyuan Hui, Tri Dao, Armel Zebaze, Olivier Dehaene, Nicolas Patry, Canwen Xu, Julian J. McAuley, Han Hu, Torsten Scholak, Sébastien Paquet, Jennifer Robinson, Carolyn Jane Anderson, Nicolas Chapados, et al.

CoRR, 2024

GiLOT: Interpreting Generative Language Models via Optimal Transport.

Xuhong Li, Jiamin Chen, Yekun Chai, Haoyi Xiong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Tool-Augmented Reward Modeling.

Lei Li, Yekun Chai, Shuohuan Wang, Yu Sun, Hao Tian, Ningyu Zhang, Hua Wu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Autoregressive Pre-Training on Pixels and Texts.

Yekun Chai, Qingyi Liu, Jingwu Xiao, Shuohuan Wang, Yu Sun, Hua Wu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

On Training Data Influence of GPT Models.

Yekun Chai, Qingyi Liu, Shuohuan Wang, Yu Sun, Qiwei Peng, Hua Wu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Tokenization Falling Short: On Subword Robustness in Large Language Models.

Yekun Chai, Yewei Fang, Qiwei Peng, Xuhong Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

HumanEval-XL: A Multilingual Code Generation Benchmark for Cross-lingual Natural Language Generalization.

Qiwei Peng, Yekun Chai, Xuhong Li

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Tool-Augmented Reward Modeling.

Lei Li, Yekun Chai, Shuohuan Wang, Yu Sun, Hao Tian, Ningyu Zhang, Hua Wu

CoRR, 2023

ERNIE-Music: Text-to-Waveform Music Generation with Diffusion Models.

Pengfei Zhu, Chao Pang, Shuohuan Wang, Yekun Chai, Yu Sun, Hao Tian, Hua Wu

CoRR, 2023

M⁴: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities and Models.

Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai, Himabindu Lakkaraju, Haoyi Xiong

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

Neural Text Classification by Jointly Learning to Cluster and Align.

Yekun Chai, Haidong Zhang, Qiyue Yin, Junge Zhang

Proceedings of the International Joint Conference on Neural Networks, 2023

Improved Training Of Mixture-Of-Experts Language GANs.

Yekun Chai, Qiyue Yin, Junge Zhang

Proceedings of the IEEE International Conference on Acoustics, 2023

ERNIE-Code: Beyond English-Centric Cross-lingual Pretraining for Programming Languages.

Yekun Chai, Shuohuan Wang, Chao Pang, Yu Sun, Hao Tian, Hua Wu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

X-PuDu at SemEval-2022 Task 6: Multilingual Learning for English and Arabic Sarcasm Detection.

Yaqian Han, Yekun Chai, Shuohuan Wang, Yu Sun, Hongyi Huang, Guanghao Chen, Yitong Xu, Yang Yang

CoRR, 2022

X-PuDu at SemEval-2022 Task 6: Multilingual Learning for English and Arabic Sarcasm Detection.

Ya Han, Yekun Chai, Shuohuan Wang, Yu Sun, Hongyi Huang, Guanghao Chen, Yitong Xu, Yang Yang

Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

Clip-Tuning: Towards Derivative-free Prompt Learning with a Mixture of Rewards.

Yekun Chai, Shuohuan Wang, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Predicate-Argument Based Bi-Encoder for Paraphrase Identification.

Qiwei Peng, David J. Weir, Julie Weeds, Yekun Chai

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

RefineCap: Concept-Aware Refinement for Image Captioning.

Yekun Chai, Shuo Jin, Junliang Xing

CoRR, 2021

Counter-Contrastive Learning for Language GANs.

Yekun Chai, Haidong Zhang, Qiyue Yin, Junge Zhang

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

2020

Neural Text Classification by Jointly Learning to Cluster and Align.

Yekun Chai, Haidong Zhang, Shuo Jin

CoRR, 2020

Highway Transformer: Self-Gating Enhanced Self-Attentive Networks.

Yekun Chai, Jin Shuo, Xinwen Hou

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

How to Evaluate Word Representations of Informal Domain?

Yekun Chai, Naomi Saphra, Adam Lopez

CoRR, 2019

Exponential Moving Averaged Q-Network for DDPG.

Xiangxiang Shen, Chuanhuan Yin, Yekun Chai, Xinwen Hou

Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019