| Faithscore: Fine-grained evaluations of hallucinations in large vision-language models L Jing, R Li, Y Chen, X Du Findings of the Association for Computational Linguistics: EMNLP 2024, 5042-5063, 2024 | 55* | 2024 |
| Counterfactual reasoning for out-of-distribution multimodal sentiment analysis T Sun, W Wang, L Jing, Y Cui, X Song, L Nie Proceedings of the 30th ACM International Conference on Multimedia, 15-23, 2022 | 44 | 2022 |
| Mutual-enhanced incongruity learning network for multi-modal sarcasm detection Y Qiao, L Jing, X Song, X Chen, L Zhu, L Nie Proceedings of the AAAI conference on artificial intelligence 37 (8), 9507-9515, 2023 | 35 | 2023 |
| V2P: Vision-to-prompt based multi-modal product summary generation X Song, L Jing, D Lin, Z Zhao, H Chen, L Nie Proceedings of the 45th International ACM SIGIR conference on research and …, 2022 | 26 | 2022 |
| Multimodal dialog systems with dual knowledge-enhanced generative pretrained language model X Chen, X Song, L Jing, S Li, L Hu, L Nie ACM Transactions on Information Systems 42 (2), 1-25, 2023 | 20 | 2023 |
| General debiasing for multimodal sentiment analysis T Sun, J Ni, W Wang, L Jing, Y Wei, L Nie Proceedings of the 31st ACM International Conference on Multimedia, 5861-5869, 2023 | 17 | 2023 |
| Stylized data-to-text generation: A case study in the e-commerce domain L Jing, X Song, X Lin, Z Zhao, W Zhou, L Nie ACM Transactions on Information Systems 42 (1), 1-24, 2023 | 14 | 2023 |
| Multi-source Semantic Graph-based Multimodal Sarcasm Explanation Generation L Jing, X Song, K Ouyang, M Jia, L Nie Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 14 | 2023 |
| Debiasing Multimodal Sarcasm Detection with Contrastive Learning M Jia, C Xie, L Jing Proceedings of the AAAI Conference on Artificial Intelligence 38 (16), 18354 …, 2024 | 13 | 2024 |
| Vision enhanced generative pre-trained language model for multimodal sentence summarization L Jing, Y Li, J Xu, Y Yu, P Shen, X Song Machine Intelligence Research 20 (2), 289-298, 2023 | 13 | 2023 |
| Adapting generative pretrained language model for open-domain multimodal sentence summarization D Lin, L Jing, X Song, M Liu, T Sun, L Nie Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 12 | 2023 |
| Dual Consistency-enhanced Semi-supervised Sentiment Analysis towards COVID-19 Tweets T Sun, L Jing, Y Wei, X Song, Z Cheng, L Nie IEEE Transactions on Knowledge and Data Engineering 35 (12), 12605-12617, 2023 | 9 | 2023 |
| FGAIF: Aligning Large Vision-Language Models with Fine-grained AI Feedback L Jing, X Du arXiv preprint arXiv:2404.05046, 2024 | 7 | 2024 |
| Knowledge-enhanced Memory Model for Emotional Support Conversation M Jia, Q Chen, L Jing, D Fu, R Li arXiv preprint arXiv:2310.07700, 2023 | 5 | 2023 |
| Fine-grained and explainable factuality evaluation for multimodal summarization Y Zhang, J Zuo, L Jing arXiv preprint arXiv:2402.11414, 2024 | 4 | 2024 |
| CI-OCM: counterfactural inference towards unbiased outfit compatibility modeling L Jing, M Tian, X Chen, T Sun, W Guan, X Song Proceedings of the 1st Workshop on Multimedia Computing towards Fashion …, 2022 | 4 | 2022 |
| Sentiment-enhanced Graph-based Sarcasm Explanation in Dialogue K Ouyang, L Jing, X Song, M Liu, Y Hu, L Nie arXiv preprint arXiv:2402.03658, 2024 | 2 | 2024 |
| Learning to Generate Research Idea with Dynamic Control R Li, L Jing, C Han, J Zhou, X Du arXiv preprint arXiv:2412.14626, 2024 | 1 | 2024 |
| A Unified Hallucination Mitigation Framework for Large Vision-Language Models Y Chang, L Jing, X Zhang, Y Zhang TMLR, 2024 | 1 | 2024 |
| Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven Optimization Y Zhang, L Jing, V Gogate arXiv preprint arXiv:2412.16232, 2024 | | 2024 |
Xuemeng SongShandong Universitysdu.edu.cn üzerinde doğrulanmış e-posta adresine sahip