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2020 – today
- 2024
[c16]Qiwei Peng, Yekun Chai, Xuhong Li:
HumanEval-XL: A Multilingual Code Generation Benchmark for Cross-lingual Natural Language Generalization. LREC/COLING 2024: 8383-8394- [c15]Yekun Chai, Yewei Fang, Qiwei Peng, Xuhong Li:
Tokenization Falling Short: On Subword Robustness in Large Language Models. EMNLP (Findings) 2024: 1582-1599 - [c14]Yekun Chai, Qingyi Liu, Jingwu Xiao, Shuohuan Wang, Yu Sun, Hua Wu:
Autoregressive Pre-Training on Pixels and Texts. EMNLP 2024: 3106-3125 - [c13]Yekun Chai, Qingyi Liu, Shuohuan Wang, Yu Sun, Qiwei Peng, Hua Wu:
On Training Data Influence of GPT Models. EMNLP 2024: 3126-3150 - [c12]Lei Li, Yekun Chai, Shuohuan Wang, Yu Sun, Hao Tian, Ningyu Zhang, Hua Wu:
Tool-Augmented Reward Modeling. ICLR 2024 - [c11]Xuhong Li, Jiamin Chen, Yekun Chai, Haoyi Xiong:
GiLOT: Interpreting Generative Language Models via Optimal Transport. ICML 2024 - [i17]Qiwei Peng, Yekun Chai, Xuhong Li:
HumanEval-XL: A Multilingual Code Generation Benchmark for Cross-lingual Natural Language Generalization. CoRR abs/2402.16694 (2024) - [i16]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.:
StarCoder 2 and The Stack v2: The Next Generation. CoRR abs/2402.19173 (2024) - [i15]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:
Aurora-M: The First Open Source Multilingual Language Model Red-teamed according to the U.S. Executive Order. CoRR abs/2404.00399 (2024) - [i14]Qingyi Liu, Yekun Chai, Shuohuan Wang, Yu Sun, Qiwei Peng, Keze Wang, Hua Wu:
On Training Data Influence of GPT Models. CoRR abs/2404.07840 (2024) - [i13]Yekun Chai, Qingyi Liu, Jingwu Xiao, Shuohuan Wang, Yu Sun, Hua Wu:
Dual Modalities of Text: Visual and Textual Generative Pre-training. CoRR abs/2404.10710 (2024) - [i12]Yekun Chai, Yewei Fang, Qiwei Peng, Xuhong Li:
Tokenization Falling Short: The Curse of Tokenization. CoRR abs/2406.11687 (2024) - [i11]Yekun Chai, Haoran Sun, Huang Fang, Shuohuan Wang, Yu Sun, Hua Wu:
MA-RLHF: Reinforcement Learning from Human Feedback with Macro Actions. CoRR abs/2410.02743 (2024) - 2023
- [c10]Yekun Chai, Shuohuan Wang, Chao Pang, Yu Sun, Hao Tian, Hua Wu:
ERNIE-Code: Beyond English-Centric Cross-lingual Pretraining for Programming Languages. ACL (Findings) 2023: 10628-10650 - [c9]Yekun Chai, Qiyue Yin, Junge Zhang:
Improved Training Of Mixture-Of-Experts Language GANs. ICASSP 2023: 1-5 - [c8]Yekun Chai, Haidong Zhang, Qiyue Yin, Junge Zhang:
Neural Text Classification by Jointly Learning to Cluster and Align. IJCNN 2023: 1-8 - [c7]Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai, Himabindu Lakkaraju, Haoyi Xiong:
M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities and Models. NeurIPS 2023 - [i10]Pengfei Zhu, Chao Pang, Shuohuan Wang, Yekun Chai, Yu Sun, Hao Tian, Hua Wu:
ERNIE-Music: Text-to-Waveform Music Generation with Diffusion Models. CoRR abs/2302.04456 (2023) - [i9]Yekun Chai, Qiyue Yin, Junge Zhang:
Improved Training of Mixture-of-Experts Language GANs. CoRR abs/2302.11875 (2023) - [i8]Lei Li, Yekun Chai, Shuohuan Wang, Yu Sun, Hao Tian, Ningyu Zhang, Hua Wu:
Tool-Augmented Reward Modeling. CoRR abs/2310.01045 (2023) - 2022
- [c6]Qiwei Peng, David J. Weir, Julie Weeds, Yekun Chai:
Predicate-Argument Based Bi-Encoder for Paraphrase Identification. ACL (1) 2022: 5579-5589 - [c5]Yekun Chai, Shuohuan Wang, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang:
Clip-Tuning: Towards Derivative-free Prompt Learning with a Mixture of Rewards. EMNLP (Findings) 2022: 108-117 - [c4]Ya Han, Yekun Chai, Shuohuan Wang, Yu Sun, Hongyi Huang, Guanghao Chen, Yitong Xu, Yang Yang:
X-PuDu at SemEval-2022 Task 6: Multilingual Learning for English and Arabic Sarcasm Detection. SemEval@NAACL 2022: 999-1004 - [i7]Yekun Chai, Shuohuan Wang, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang:
Clip-Tuning: Towards Derivative-free Prompt Learning with a Mixture of Rewards. CoRR abs/2210.12050 (2022) - [i6]Yaqian Han, Yekun Chai, Shuohuan Wang, Yu Sun, Hongyi Huang, Guanghao Chen, Yitong Xu, Yang Yang:
X-PuDu at SemEval-2022 Task 6: Multilingual Learning for English and Arabic Sarcasm Detection. CoRR abs/2211.16883 (2022) - [i5]Yekun Chai, Shuohuan Wang, Chao Pang, Yu Sun, Hao Tian, Hua Wu:
ERNIE-Code: Beyond English-Centric Cross-lingual Pretraining for Programming Languages. CoRR abs/2212.06742 (2022) - 2021
- [c3]Yekun Chai, Haidong Zhang, Qiyue Yin, Junge Zhang:
Counter-Contrastive Learning for Language GANs. EMNLP (Findings) 2021: 4834-4839 - [i4]Yekun Chai, Shuo Jin, Junliang Xing:
RefineCap: Concept-Aware Refinement for Image Captioning. CoRR abs/2109.03529 (2021) - 2020
- [c2]Yekun Chai, Jin Shuo, Xinwen Hou:
Highway Transformer: Self-Gating Enhanced Self-Attentive Networks. ACL 2020: 6887-6900 - [i3]Yekun Chai, Jin Shuo, Xinwen Hou:
Highway Transformer: Self-Gating Enhanced Self-Attentive Networks. CoRR abs/2004.08178 (2020) - [i2]Yekun Chai, Haidong Zhang, Shuo Jin:
Neural Text Classification by Jointly Learning to Cluster and Align. CoRR abs/2011.12184 (2020)
2010 – 2019
- 2019
- [c1]Xiangxiang Shen, Chuanhuan Yin, Yekun Chai, Xinwen Hou:
Exponential Moving Averaged Q-Network for DDPG. PRCV (1) 2019: 562-572 - [i1]Yekun Chai, Naomi Saphra, Adam Lopez:
How to Evaluate Word Representations of Informal Domain? CoRR abs/1911.04669 (2019)
Coauthor Index
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last updated on 2024-11-19 21:48 CET by the dblp team
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