| Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks H Lin, J Ma, M Cheng, Z Yang, L Chen, G Chen EMNLP 2021 - Proceedings of the 2021 Conference on Empirical Methods in …, 2021 | 79 | 2021 |
| Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning H Lin, J Ma, L Chen, Z Yang, M Cheng, G Chen NAACL 2022 - The 2022 Annual Conference of the North American Chapter of the …, 2022 | 61 | 2022 |
| Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning H Lin, P Yi, J Ma, H Jiang, Z Luo, S Shi, R Liu AAAI 2023 - Proceedings of the 37th AAAI Conference on Artificial …, 2023 | 58 | 2023 |
| A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection Z Yang, J Ma, H Chen, H Lin, Z Luo, Y Chang COLING 2022 - The 29th International Conference on Computational Linguistics, 2022 | 43 | 2022 |
| A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning R Yang, J Ma, H Lin, W Gao SIGIR 2022 - The 45th International ACM SIGIR Conference on Research and …, 2022 | 43 | 2022 |
| Explainable Fake News Detection with Large Language Model via Defense among Competing Wisdom B Wang, J Ma, H Lin, Z Yang, R Yang, Y Tian, Y Chang WWW 2024 - Proceedings of the ACM Web Conference 2024 (Research Tracks), 2024 | 23 | 2024 |
| Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models H Lin, Z Luo, W Gao, J Ma, B Wang, R Yang WWW 2024 - Proceedings of the ACM Web Conference 2024 (Research Tracks, Oral), 2024 | 22 | 2024 |
| GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse H Lin, Z Luo, B Wang, R Yang, J Ma arXiv preprint arXiv:2401.01523, 2024 | 22 | 2024 |
| Beneath the Surface: Unveiling Harmful Memes with Multimodal Reasoning Distilled from Large Language Models H Lin, Z Luo, J Ma, L Chen EMNLP 2023 - The 2023 Conference on Empirical Methods in Natural Language …, 2023 | 18 | 2023 |
| Codec Does Matter: Exploring the Semantic Shortcoming of Codec for Audio Language Model Z Ye, P Sun, J Lei, H Lin, X Tan, Z Dai, Q Kong, J Chen, J Pan, Q Liu, ... AAAI 2025 - Proceedings of the 39th AAAI Conference on Artificial …, 2024 | 9* | 2024 |
| CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models H Lin, Z Chen, Z Luo, M Cheng, J Ma, G Chen ACL 2024 - The 62nd Annual Meeting of the Association for Computational …, 2024 | 9 | 2024 |
| Boosting Low-Resource Intent Detection with in-Scope Prototypical Networks H Lin, Y Yan, G Chen ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 9 | 2021 |
| WSDMS: Debunk Fake News via Weakly Supervised Detection of Misinforming Sentences with Contextualized Social Wisdom R Yang, W Gao, J Ma, H Lin, Z Yang EMNLP 2023 - The 2023 Conference on Empirical Methods in Natural Language …, 2023 | 8 | 2023 |
| MFC-Bench: Benchmarking Multimodal Fact-Checking with Large Vision-Language Models S Wang, H Lin*, Z Luo, Z Ye, G Chen, J Ma arXiv preprint arXiv:2406.11288, 2024 | 5 | 2024 |
| Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Models R Yang, W Gao, J Ma, H Lin, B Wang ACL 2024 - The 62nd Annual Meeting of the Association for Computational …, 2024 | 5 | 2024 |
| Towards Low-Resource Rumor Detection: Unified Contrastive Transfer with Propagation Structure H Lin, J Ma, R Yang, Z Yang, M Cheng Neurocomputing, 127438, 2023 | 5* | 2023 |
| CodeJudge-Eval: Can Large Language Models be Good Judges in Code Understanding? Y Zhao, Z Luo, Y Tian, H Lin, W Yan, A Li, J Ma COLING 2025 - The 31st International Conference on Computational Linguistics, 2024 | 3 | 2024 |
| TANTP: Conversational Emotion Recognition Using Tree-Based Attention Networks with Transformer Pre-training H Liu, H Lin, G Chen PAKDD 2021 - The Pacific-Asia Conference on Knowledge Discovery and Data …, 2021 | 3 | 2021 |
| AMIF: A Hybrid Model for Improving Fact Checking in Product Question Answering H Lin, L Chen, J Ma, Z Yang, G Chen IJCNN 2022 - 2022 International Joint Conference on Neural Networks, 1-8, 2022 | 2 | 2022 |
| Llasa: Scaling Train-Time and Inference-Time Compute for Llama-based Speech Synthesis Z Ye, X Zhu, CM Chan, X Wang, X Tan, J Lei, Y Peng, H Liu, Y Jin, Z DAI, ... arXiv preprint arXiv:2502.04128, 2025 | 1 | 2025 |
Jing MaHong Kong Baptist UniversityE-mail megerősítve itt: comp.hkbu.edu.hk