| Starcoder 2 and the stack v2: The next generation A Lozhkov, R Li, LB Allal, F Cassano, J Lamy-Poirier, N Tazi, A Tang, ... arXiv preprint arXiv:2402.19173, 2024 | 177 | 2024 |
| ERNIE-Code: Beyond English-Centric Cross-lingual Pretraining for Programming Languages Y Chai, S Wang, C Pang, Y Sun, H Tian, H Wu ACL Findings, 10628–10650, 2023 | 36 | 2023 |
| Clip-Tuning: Towards Derivative-free Prompt Learning with a Mixture of Rewards Y Chai, S Wang, Y Sun, H Tian, H Wu, H Wang EMNLP Findings, 108–117, 2022 | 18 | 2022 |
| Predicate-Argument Based Bi-Encoder for Paraphrase Identification Q Peng, D Weir, J Weeds, Y Chai ACL (oral), 5579-5589, 2022 | 18 | 2022 |
| Highway Transformer: Self-Gating Enhanced Self-Attentive Networks Y Chai, S Jin, X Hou ACL, 6887–6900, 2020 | 18 | 2020 |
| HumanEval-XL: A Multilingual Code Generation Benchmark for Cross-lingual Natural Language Generalization Q Peng, Y Chai, X Li LREC-COLING, 2024 | 17* | 2024 |
| Ernie-music: Text-to-waveform music generation with diffusion models P Zhu, C Pang, Y Chai, L Li, S Wang, Y Sun, H Tian, H Wu IJCNLP-AACL (SDT), 2023 | 17* | 2023 |
| Tool-Augmented Reward Modeling L Li, Y Chai, S Wang, Y Sun, H Tian, N Zhang, H Wu ICLR (spotlight), 2023 | 16 | 2023 |
| : A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities and Models X Li, M Du, J Chen, Y Chai, H Lakkaraju, H Xiong NeurIPS, 2023 | 13* | 2023 |
| Coin: Conversational interactive networks for emotion recognition in conversation H Zhang, Y Chai NAACL Workshop on Multimodal Artificial Intelligence, 12-18, 2021 | 12 | 2021 |
| X-PuDu at SemEval-2022 Task 6: Multilingual Learning for English and Arabic Sarcasm Detection Y Han, Y Chai, S Wang, Y Sun, H Huang, G Chen, Y Xu, Y Yang NAACL Workshop on Semantic Evaluation (SemEval), 999-1004, 2022 | 9 | 2022 |
| Aurora-M: Open Source Continual Pre-training for Multilingual Language and Code T Nakamura, M Mishra, S Tedeschi, Y Chai, JT Stillerman, F Friedrich, ... COLING Industry, 2024 | 8* | 2024 |
| Neural text classification by jointly learning to cluster and align Y Chai, H Zhang, Q Yin, J Zhang International Joint Conference on Neural Networks, 1-8, 2020 | 6 | 2020 |
| Improved Training of Mixture-of-Experts Language GANs Y Chai, Q Yin, J Zhang 2023 IEEE International Conference on Acoustics, Speech and Signal …, 2023 | 5 | 2023 |
| Counter-Contrastive Learning for Language GANs Y Chai, H Zhang, Q Yin, J Zhang EMNLP Findings, 4834-4839, 2021 | 3 | 2021 |
| Exponential moving averaged Q-network for DDPG X Shen, C Yin, Y Chai, X Hou Pattern Recognition and Computer Vision, PRCV 2019, 562-572, 2019 | 3 | 2019 |
| On Training Data Influence of GPT Models Y Chai, Q Liu, S Wang, Y Sun, Q Peng, H Wu EMNLP (oral), 2024 | 2 | 2024 |
| Counting the number of parameters in deep learning Y Chai [Online]. Available: https://cyk1337.github.io/notes/2019/10/11/NN/Counting …, 2020 | 2 | 2020 |
| GILOT: Interpreting Generative Language Models via Optimal Transport X Li, J Chen, Y Chai, H Xiong ICML, 2024 | 1* | 2024 |
| RefineCap: Concept-Aware Refinement for Image Captioning Y Chai, S Jin, J Xing NAACL Workshop on ViGIL, 2021 | 1 | 2021 |
Shuohuan WangBaiduVerified email at baidu.com
