| Towards a Unified View of Parameter-Efficient Transfer Learning J He, C Zhou, X Ma, T Berg-Kirkpatrick, G Neubig International Conference on Learning Representations (ICLR) 2022, 2022 | 793 | 2022 |
| On the Sentence Embeddings from Pre-trained Language Models B Li, H Zhou, J He, M Wang, Y Yang, L Li Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 680 | 2020 |
| Lagging Inference Networks and Posterior Collapse in Variational Autoencoders J He, D Spokoyny, G Neubig, T Berg-Kirkpatrick International Conference on Learning Representations (ICLR) 2019, 2019 | 339 | 2019 |
| C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models Y Huang, Y Bai, Z Zhu, J Zhang, J Zhang, T Su, J Liu, C Lv, Y Zhang, J Lei, ... Conference on Neural Information Processing Systems (NeurIPS) 2023, 2023 | 335* | 2023 |
| Revisiting Self-Training for Neural Sequence Generation J He, J Gu, J Shen, MA Ranzato International Conference on Learning Representations (ICLR) 2020, 2020 | 254 | 2020 |
| Choosing Transfer Languages for Cross-Lingual Learning YH Lin, CY Chen, J Lee, Z Li, Y Zhang, M Xia, S Rijhwani, J He, Z Zhang, ... Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 240 | 2019 |
| Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs M Xiong, Z Hu, X Lu, Y Li, J Fu, J He, B Hooi International Conference on Learning Representations (ICLR) 2024, 2024 | 147 | 2024 |
| Mega: moving average equipped gated attention X Ma, C Zhou, X Kong, J He, L Gui, G Neubig, J May, L Zettlemoyer International Conference on Learning Representations (ICLR) 2023, 2023 | 143* | 2023 |
| A Probabilistic Formulation of Unsupervised Text Style Transfer J He, X Wang, G Neubig, T Berg-Kirkpatrick International Conference on Learning Representations (ICLR) 2020, 2020 | 142 | 2020 |
| CTRLsum: Towards generic controllable text summarization J He, W Kryściński, B McCann, N Rajani, C Xiong Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2020 | 139 | 2020 |
| StructVAE: Tree-structured latent variable models for semi-supervised semantic parsing P Yin, C Zhou, J He, G Neubig Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 122 | 2018 |
| FacTool: Factuality Detection in Generative AI--A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios I Chern, S Chern, S Chen, W Yuan, K Feng, C Zhou, J He, G Neubig, ... arXiv preprint arXiv:2307.13528, 2023 | 100 | 2023 |
| Self-Evaluation Guided Beam Search for Reasoning Y Xie, K Kawaguchi, Y Zhao, X Zhao, MY Kan, J He, Q Xie Conference on Neural Information Processing Systems (NeurIPS) 2023, 2023 | 92* | 2023 |
| Efficient Nearest Neighbor Language Models J He, G Neubig, T Berg-Kirkpatrick Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 92 | 2021 |
| A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text B Li, J He, G Neubig, T Berg-Kirkpatrick, Y Yang Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 83 | 2019 |
| What makes good data for alignment? a comprehensive study of automatic data selection in instruction tuning W Liu, W Zeng, K He, Y Jiang, J He International Conference on Learning Representations (ICLR) 2024, 2024 | 74 | 2024 |
| Composing parameter-efficient modules with arithmetic operations J Zhang, S Chen, J Liu, J He Conference on Neural Information Processing Systems (NeurIPS) 2023, 2023 | 67 | 2023 |
| Prompt consistency for zero-shot task generalization C Zhou, J He, X Ma, T Berg-Kirkpatrick, G Neubig Findings of EMNLP 2022, 2022 | 66 | 2022 |
| Texar: A modularized, versatile, and extensible toolkit for text generation Z Hu, H Shi, B Tan, W Wang, Z Yang, T Zhao, J He, L Qin, D Wang, X Ma, ... arXiv preprint arXiv:1809.00794, 2018 | 66 | 2018 |
| Efficient correlated topic modeling with topic embedding J He, Z Hu, T Berg-Kirkpatrick, Y Huang, EP Xing Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017 | 60 | 2017 |
Graham NeubigCarnegie Mellon University, All Hands AIVerified email at cs.cmu.edu
