Sentigan: Generating sentimental texts via mixture adversarial networks. K Wang, X Wan IJCAI, 4446-4452, 2018 | 201 | 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 | 83 | 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 | 77 | 2018 |
Automatic generation of sentimental texts via mixture adversarial networks K Wang, X Wan Artificial Intelligence 275, 540-558, 2019 | 33 | 2019 |
Restgpt: Connecting large language models with real-world applications via restful apis Y Song, W Xiong, D Zhu, C Li, K Wang, Y Tian, S Li arXiv preprint arXiv:2306.06624, 2023 | 24 | 2023 |
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 | 22 | 2024 |
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 | 18 | 2021 |
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 |
Counterfactual representation augmentation for cross-domain sentiment analysis K Wang, X Wan IEEE Transactions on Affective Computing, 2022 | 4 | 2022 |
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 |
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 |
MSeg: A Maximum-Minimum Mutual Information Paradigm for Unsupervised Topic Segmentation in ASR Transcripts K Wang, X Zhao, Y Li, W Peng The 2023 Conference on Empirical Methods in Natural Language Processing, 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 | | 2018 |