| Sentigan: Generating sentimental texts via mixture adversarial networks. K Wang, X Wan IJCAI, 4446-4452, 2018 | 207 | 2018 |
| Controllable unsupervised text attribute transfer via editing entangled latent representation K Wang, H Hua, X Wan Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 2019 | 85 | 2019 |
| Sentiment analysis of peer review texts for scholarly papers K Wang, X Wan The 41st International ACM SIGIR Conference on Research & Development in …, 2018 | 82 | 2018 |
| A survey on hallucination in large vision-language models H Liu, W Xue, Y Chen, D Chen, X Zhao, K Wang, L Hou, R Li, W Peng arXiv preprint arXiv:2402.00253, 2024 | 47 | 2024 |
| Automatic generation of sentimental texts via mixture adversarial networks K Wang, X Wan Artificial Intelligence 275, 540-558, 2019 | 34 | 2019 |
| RestGPT: Connecting Large Language Models with Real-World RESTful APIs Y Song, W Xiong, D Zhu, W Wu, H Qian, M Song, H Huang, C Li, K Wang, ... arXiv preprint arXiv:2306.06624, 2023 | 32 | 2023 |
| TransSum: Translating aspect and sentiment embeddings for self-supervised opinion summarization K Wang, X Wan Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 23 | 2021 |
| Counterfactual representation augmentation for cross-domain sentiment analysis K Wang, X Wan IEEE Transactions on Affective Computing 14 (3), 1979-1990, 2022 | 8 | 2022 |
| Bridging the domain gap: Improve informal language translation via counterfactual domain adaptation K Wang, G Chen, Z Huang, X Wan, F Huang Proceedings of the AAAI Conference on Artificial Intelligence 35 (16), 13970 …, 2021 | 5 | 2021 |
| Adversarial Text Generation via Sequence Contrast Discrimination K Wang, X Wan Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 2 | 2020 |
| Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement W Xiong, Y Song, X Zhao, W Wu, X Wang, K Wang, C Li, W Peng, S Li arXiv preprint arXiv:2406.11176, 2024 | | 2024 |
| Learning from Failure: Improving Meeting Summarization without Good Samples K Wang, X Zhao, W Peng Proceedings of the AAAI Conference on Artificial Intelligence 38 (17), 19153 …, 2024 | | 2024 |
| ORCHID: A Chinese Debate Corpus for Target-Independent Stance Detection and Argumentative Dialogue Summarization X Zhao, K Wang, W Peng Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | | 2023 |
| M3Seg: A Maximum-Minimum Mutual Information Paradigm for Unsupervised Topic Segmentation in ASR Transcripts K Wang, X Zhao, Y Li, W Peng Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | | 2023 |
| PROSE: A Pronoun Omission Solution for Chinese-English Spoken Language Translation K Wang, X Zhao, Y Li, W Peng Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | | 2023 |
| DelibGAN: Coarse-to-Fine Text Generation via Adversarial Network K Wang, X Wan | | |
Xiaojun WanPeking University在 pku.edu.cn 的电子邮件经过验证
Xiaojun WanPeking University在 pku.edu.cn 的电子邮件经过验证
Hang HuaUniversity of Rochester在 cs.rochester.edu 的电子邮件经过验证
Wenyuan XueHuawei在 bjtu.edu.cn 的电子邮件经过验证