Exponential Moving Averaged Q-Network for DDPG. - Xiangxiang Shen; Chuanhuan Yin; Yekun Chai; Xinwen Hou (PRCV (1), 2019)

How to Evaluate Word Representations of Informal Domain? - Yekun Chai; Naomi Saphra; Adam Lopez (CoRR, 2019)

Highway Transformer: Self-Gating Enhanced Self-Attentive Networks. - Yekun Chai; Jin Shuo; Xinwen Hou (ACL, 2020)

Neural Text Classification by Jointly Learning to Cluster and Align. - Yekun Chai; Haidong Zhang; Shuo Jin (CoRR, 2020)

Counter-Contrastive Learning for Language GANs. - Yekun Chai; Haidong Zhang; Qiyue Yin; Junge Zhang (EMNLP (Findings), 2021)

RefineCap: Concept-Aware Refinement for Image Captioning. - Yekun Chai; Shuo Jin; Junliang Xing (CoRR, 2021)

Predicate-Argument Based Bi-Encoder for Paraphrase Identification. - Qiwei Peng 002; David J. Weir; Julie Weeds; Yekun Chai (ACL (1), 2022)

Clip-Tuning: Towards Derivative-free Prompt Learning with a Mixture of Rewards. - Yekun Chai; Shuohuan Wang; Yu Sun 004; Hao Tian 005; Hua Wu 003; Haifeng Wang 001 (EMNLP (Findings), 2022)

X-PuDu at SemEval-2022 Task 6: Multilingual Learning for English and Arabic Sarcasm Detection. - Ya Han; Yekun Chai; Shuohuan Wang; Yu Sun 029; Hongyi Huang; Guanghao Chen; Yitong Xu; Yang Yang (SemEval@NAACL, 2022)

X-PuDu at SemEval-2022 Task 6: Multilingual Learning for English and Arabic Sarcasm Detection. - Yaqian Han; Yekun Chai; Shuohuan Wang; Yu Sun 029; Hongyi Huang; Guanghao Chen; Yitong Xu; Yang Yang (CoRR, 2022)

ERNIE-Code: Beyond English-Centric Cross-lingual Pretraining for Programming Languages. - Yekun Chai; Shuohuan Wang; Chao Pang; Yu Sun 029; Hao Tian 005; Hua Wu 003 (ACL (Findings), 2023)

Improved Training Of Mixture-Of-Experts Language GANs. - Yekun Chai; Qiyue Yin; Junge Zhang (ICASSP, 2023)

Neural Text Classification by Jointly Learning to Cluster and Align. - Yekun Chai; Haidong Zhang; Qiyue Yin; Junge Zhang (IJCNN, 2023)

M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities and Models. - Xuhong Li 002; Mengnan Du; Jiamin Chen; Yekun Chai; Himabindu Lakkaraju; Haoyi Xiong (NeurIPS, 2023)

ERNIE-Music: Text-to-Waveform Music Generation with Diffusion Models. - Pengfei Zhu; Chao Pang; Shuohuan Wang; Yekun Chai; Yu Sun 029; Hao Tian 005; Hua Wu 003 (CoRR, 2023)

Tool-Augmented Reward Modeling. - Lei Li 040; Yekun Chai; Shuohuan Wang; Yu Sun 029; Hao Tian 005; Ningyu Zhang 001; Hua Wu 003 (CoRR, 2023)

HumanEval-XL: A Multilingual Code Generation Benchmark for Cross-lingual Natural Language Generalization. - Qiwei Peng 002; Yekun Chai; Xuhong Li 002 (LREC/COLING, 2024)

Tokenization Falling Short: On Subword Robustness in Large Language Models. - Yekun Chai; Yewei Fang; Qiwei Peng 002; Xuhong Li 002 (EMNLP (Findings), 2024)

On Training Data Influence of GPT Models. - Yekun Chai; Qingyi Liu; Shuohuan Wang; Yu Sun 004; Qiwei Peng 002; Hua Wu 003 (EMNLP, 2024)

Autoregressive Pre-Training on Pixels and Texts. - Yekun Chai; Qingyi Liu; Jingwu Xiao; Shuohuan Wang; Yu Sun; Hua Wu 003 (EMNLP, 2024)

Tool-Augmented Reward Modeling. - Lei Li 040; Yekun Chai; Shuohuan Wang; Yu Sun 004; Hao Tian 005; Ningyu Zhang 001; Hua Wu 003 (ICLR, 2024)

GiLOT: Interpreting Generative Language Models via Optimal Transport. - Xuhong Li 002; Jiamin Chen; Yekun Chai; Haoyi Xiong (ICML, 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 004; Yuxiang Wei 003; Tianyang Liu 003; Max Tian; et al. (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; et al. (CoRR, 2024)

On Training Data Influence of GPT Models. - Qingyi Liu; Yekun Chai; Shuohuan Wang; Yu Sun 004; Qiwei Peng 002; Keze Wang; Hua Wu 003 (CoRR, 2024)

Dual Modalities of Text: Visual and Textual Generative Pre-training. - Yekun Chai; Qingyi Liu; Jingwu Xiao; Shuohuan Wang; Yu Sun 029; Hua Wu 003 (CoRR, 2024)

Tokenization Falling Short: The Curse of Tokenization. - Yekun Chai; Yewei Fang; Qiwei Peng 002; Xuhong Li 002 (CoRR, 2024)

MA-RLHF: Reinforcement Learning from Human Feedback with Macro Actions. - Yekun Chai; Haoran Sun; Huang Fang; Shuohuan Wang; Yu Sun 004; Hua Wu 003 (CoRR, 2024)

Curiosity-Driven Reinforcement Learning from Human Feedback. - Haoran Sun; Yekun Chai; Shuohuan Wang; Yu Sun; Hua Wu 003; Haifeng Wang 001 (ACL (1), 2025)

Aurora-M: Open Source Continual Pre-training for Multilingual Language and Code. - 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; et al. (COLING (Industry), 2025)

Graph-Augmented Open-Domain Multi-Document Summarization. - Xiaoping Shen; Yekun Chai (COLING (Industry), 2025)

MA-RLHF: Reinforcement Learning from Human Feedback with Macro Actions. - Yekun Chai; Haoran Sun; Huang Fang; Shuohuan Wang; Yu Sun; Hua Wu 003 (ICLR, 2025)

MARBLE: A Hard Benchmark for Multimodal Spatial Reasoning and Planning. - Yulun Jiang; Yekun Chai; Maria Brbic; Michael Moor (CoRR, 2025)

Evaluating Code-Mixing in LLMs Across 18 Languages. - Yilun Yang; Yekun Chai (CoRR, 2025)