| Towards fine-grained reasoning for fake news detection Y Jin, X Wang, R Yang, Y Sun, W Wang, H Liao, X Xie Proceedings of the AAAI Conference on Artificial Intelligence 36 (5), 5746-5754, 2022 | 77 | 2022 |
| Reinforcement subgraph reasoning for fake news detection R Yang, X Wang, Y Jin, C Li, J Lian, X Xie Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 55 | 2022 |
| Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries MDC Yiqiao Jin, Mohit Chandra, Gaurav Verma, Yibo Hu, S Kumar The Web Conference 2024, 0 | 37* | |
| Competeai: Understanding the competition behaviors in large language model-based agents Q Zhao, J Wang, Y Zhang, Y Jin, K Zhu, H Chen, X Xie ICML 2024, 2023 | 32 | 2023 |
| Predicting information pathways across online communities Y Jin, YC Lee, K Sharma, M Ye, K Sikka, A Divakaran, S Kumar Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 22 | 2023 |
| Large language models can be good privacy protection learners Y Xiao, Y Jin, Y Bai, Y Wu, X Yang, X Luo, W Yu, X Zhao, Y Liu, H Chen, ... EMNLP 2024, 2023 | 19 | 2023 |
| Code recommendation for open source software developers Y Jin, Y Bai, Y Zhu, Y Sun, W Wang Proceedings of the ACM Web Conference 2023, 1324-1333, 2023 | 18 | 2023 |
| Semi-offline reinforcement learning for optimized text generation C Chen, X Wang, Y Jin, VY Dong, L Dong, J Cao, Y Liu, R Yan International Conference on Machine Learning, 5087-5103, 2023 | 14 | 2023 |
| Versagnn: a versatile accelerator for graph neural networks F Shi, Y Jin, SC Zhu arXiv preprint arXiv:2105.01280, 2021 | 13 | 2021 |
| Mm-soc: Benchmarking multimodal large language models in social media platforms Y Jin, M Choi, G Verma, J Wang, S Kumar ACL 2024, 2024 | 11 | 2024 |
| Prototypical fine-tuning: Towards robust performance under varying data sizes Y Jin, X Wang, Y Hao, Y Sun, X Xie Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 12968 …, 2023 | 11 | 2023 |
| Prototypical Reward Network for Data-Efficient Model Alignment J Zhang, X Wang, Y Jin, C Chen, X Zhang, K Liu Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 4* | 2024 |
| Towards Fair Graph Anomaly Detection: Problem, New Datasets, and Evaluation NKN Neo, YC Lee, Y Jin, SW Kim, S Kumar CIKM 2024, 2024 | 4 | 2024 |
| Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas C Deng, Y Duan, X Jin, H Chang, Y Tian, H Liu, HP Zou, Y Jin, Y Xiao, ... arXiv preprint arXiv:2406.05392, 2024 | 3 | 2024 |
| AgentReview: Exploring Peer Review Dynamics with LLM Agents Y Jin, Q Zhao, Y Wang, H Chen, K Zhu, Y Xiao, J Wang EMNLP 2024, 2024 | 2 | 2024 |
| Empowering Interdisciplinary Insights with Dynamic Graph Embedding Trajectories Y Jin, A Zhao, YC Lee, M Ye, A Divakaran, S Kumar arXiv preprint arXiv:2406.17963, 2024 | 1 | 2024 |
| MedHalu: Hallucinations in Responses to Healthcare Queries by Large Language Models V Agarwal, Y Jin, M Chandra, M De Choudhury, S Kumar, N Sastry arXiv preprint arXiv:2409.19492, 2024 | | 2024 |
| ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding Y Xiao, E Sun, Y Jin, Q Wang, W Wang arXiv preprint arXiv:2408.11363, 2024 | | 2024 |
Xing Xie 谢幸Partner Research Manager, Microsoft, ACM Fellow, IEEE Fellow, CCF Fellow在 microsoft.com 的电子邮件经过验证
