Yekun Chai
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
7
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | Curiosity-Driven Reinforcement Learning from Human Feedback. | Haoran Sun, Yekun Chai, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang |
| 2025 | COLING | 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, 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 Barbosa Junior, Aleksandr Drozd, Jordan Clive, Kshitij Gupta, Liangyu Chen, Qi Sun, Ken Tsui, Nour Moustafa-Fahmy, Nicolo Monti, Tai Dang, Ziyang Luo, Tien-Tung Bui, Roberto Navigli, Virendra Mehta, Matthew Blumberg, Victor May, Hiep Nguyen, Sampo Pyysalo |
| 2025 | COLING | Graph-Augmented Open-Domain Multi-Document Summarization. | Xiaoping Shen, Yekun Chai |
| 2025 | EMNLP | Understanding Subword Compositionality of Large Language Models. | Qiwei Peng, Yekun Chai, Anders Sgaard |
| 2025 | EMNLP | Debiasing Multilingual LLMs in Cross-lingual Latent Space. | Qiwei Peng, Guimin Hu, Yekun Chai, Anders Sgaard |
| 2025 | EMNLP | CodeMixBench: Evaluating Code-Mixing Capabilities of LLMs Across 18 Languages. | Yilun Yang, Yekun Chai |
| 2025 | EMNLP | EvolKV: Evolutionary KV Cache Compression for LLM Inference. | Bohan Yu, Yekun Chai |
| 2025 | ICLR | MA-RLHF: Reinforcement Learning from Human Feedback with Macro Actions. | Yekun Chai, Haoran Sun, Huang Fang, Shuohuan Wang, Yu Sun, Hua Wu |
| 2024 | COLING | HumanEval-XL: A Multilingual Code Generation Benchmark for Cross-lingual Natural Language Generalization. | Qiwei Peng, Yekun Chai, Xuhong Li |
| 2024 | EMNLP | Tokenization Falling Short: On Subword Robustness in Large Language Models. | Yekun Chai, Yewei Fang, Qiwei Peng, Xuhong Li |
| 2024 | EMNLP | On Training Data Influence of GPT Models. | Yekun Chai, Qingyi Liu, Shuohuan Wang, Yu Sun, Qiwei Peng, Hua Wu |
| 2024 | EMNLP | Autoregressive Pre-Training on Pixels and Texts. | Yekun Chai, Qingyi Liu, Jingwu Xiao, Shuohuan Wang, Yu Sun, Hua Wu |
| 2024 | ICLR | Tool-Augmented Reward Modeling. | Lei Li, Yekun Chai, Shuohuan Wang, Yu Sun, Hao Tian, Ningyu Zhang, Hua Wu |
| 2024 | ICML | GiLOT: Interpreting Generative Language Models via Optimal Transport. | Xuhong Li, Jiamin Chen, Yekun Chai, Haoyi Xiong |
| 2023 | ACL | ERNIE-Code: Beyond English-Centric Cross-lingual Pretraining for Programming Languages. | Yekun Chai, Shuohuan Wang, Chao Pang, Yu Sun, Hao Tian, Hua Wu |
| 2023 | ICASSP | Improved Training Of Mixture-Of-Experts Language GANs. | Yekun Chai, Qiyue Yin, Junge Zhang |
| 2023 | IJCNN | Neural Text Classification by Jointly Learning to Cluster and Align. | Yekun Chai, Haidong Zhang, Qiyue Yin, Junge Zhang |
| 2022 | ACL | Predicate-Argument Based Bi-Encoder for Paraphrase Identification. | Qiwei Peng, David J. Weir, Julie Weeds, Yekun Chai |
| 2022 | EMNLP | Clip-Tuning: Towards Derivative-free Prompt Learning with a Mixture of Rewards. | Yekun Chai, Shuohuan Wang, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang |
| 2021 | EMNLP | Counter-Contrastive Learning for Language GANs. | Yekun Chai, Haidong Zhang, Qiyue Yin, Junge Zhang |
| 2020 | ACL | Highway Transformer: Self-Gating Enhanced Self-Attentive Networks. | Yekun Chai, Jin Shuo, Xinwen Hou |