| 2024 | PAG-LLM: Paraphrase and Aggregate with Large Language Models for Minimizing Intent Classification Errors. | Vikas Yadav, Zheng Tang, Vijay Srinivasan |
| 2024 | Diffusion Models for Generative Outfit Recommendation. | Yiyan Xu, Wenjie Wang, Fuli Feng, Yunshan Ma, Jizhi Zhang, Xiangnan He |
| 2024 | MoME: Mixture-of-Masked-Experts for Efficient Multi-Task Recommendation. | Jiahui Xu, Lu Sun, Dengji Zhao |
| 2024 | Optimizing E-commerce Search: Toward a Generalizable and Rank-Consistent Pre-Ranking Model. | Enqiang Xu, Yiming Qiu, Junyang Bai, Ping Zhang, Dadong Miao, Songlin Wang, Guoyu Tang, Lin Liu, Mingming Li |
| 2024 | OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems. | Shuyuan Xu, Wenyue Hua, Yongfeng Zhang |
| 2024 | Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images. | Shicheng Xu, Danyang Hou, Liang Pang, Jingcheng Deng, Jun Xu, Huawei Shen, Xueqi Cheng |
| 2024 | Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support Conversation. | Zhe Xu, Daoyuan Chen, Jiayi Kuang, Zihao Yi, Yaliang Li, Ying Shen |
| 2024 | Retrieval-Augmented Generation with Knowledge Graphs for Customer Service Question Answering. | Zhentao Xu, Mark Jerome Cruz, Matthew Guevara, Tie Wang, Manasi Deshpande, Xiaofeng Wang, Zheng Li |
| 2024 | Grasping Both Query Relevance and Essential Content for Query-focused Summarization. | Ye Xiong, Hidetaka Kamigaito, Soichiro Murakami, Peinan Zhang, Hiroya Takamura, Manabu Okumura |
| 2024 | OEHR: An Orthopedic Electronic Health Record Dataset. | Yibo Xie, Kaifan Wang, Jiawei Zheng, Feiyan Liu, Xiaoli Wang, Guofeng Huang |
| 2024 | Efficient Community Search Based on Relaxed | Xiaoqin Xie, Shuangyuan Liu, Jiaqi Zhang, Shuai Han, Wei Wang, Wu Yang |
| 2024 | PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking. | Yuzhang Xie, Jiaying Lu, Joyce C. Ho, Fadi B. Nahab, Xiao Hu, Carl Yang |
| 2024 | A Generic Behavior-Aware Data Augmentation Framework for Sequential Recommendation. | Jing Xiao, Weike Pan, Zhong Ming |
| 2024 | C-Pack: Packed Resources For General Chinese Embeddings. | Shitao Xiao, Zheng Liu, Peitian Zhang, Niklas Muennighoff, Defu Lian, Jian-Yun Nie |
| 2024 | AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations. | Wei Wu, Chao Wang, Dazhong Shen, Chuan Qin, Liyi Chen, Hui Xiong |
| 2024 | Simple but Effective Raw-Data Level Multimodal Fusion for Composed Image Retrieval. | Haokun Wen, Xuemeng Song, Xiaolin Chen, Yinwei Wei, Liqiang Nie, Tat-Seng Chua |
| 2024 | LLMGR: Large Language Model-based Generative Retrieval in Alipay Search. | Wei Chen, Yixin Ji, Zeyuan Chen, Jia Xu, Zhongyi Liu |
| 2024 | Large Language Models Based Stemming for Information Retrieval: Promises, Pitfalls and Failures. | Shuai Wang, Shengyao Zhuang, Guido Zuccon |
| 2024 | LLM-enhanced Cascaded Multi-level Learning on Temporal Heterogeneous Graphs. | Fengyi Wang, Guanghui Zhu, Chunfeng Yuan, Yihua Huang |
| 2024 | Fake News Detection via Multi-scale Semantic Alignment and Cross-modal Attention. | Jiandong Wang, Hongguang Zhang, Chun Liu, Xiongjun Yang |
| 2024 | MACRec: A Multi-Agent Collaboration Framework for Recommendation. | Zhefan Wang, Yuanqing Yu, Wendi Zheng, Weizhi Ma, Min Zhang |
| 2024 | Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning. | Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng |
| 2024 | Amazon-KG: A Knowledge Graph Enhanced Cross-Domain Recommendation Dataset. | Yuhan Wang, Qing Xie, Mengzi Tang, Lin Li, Jingling Yuan, Yongjian Liu |
| 2024 | A Preference-oriented Diversity Model Based on Mutual-information in Re-ranking for E-commerce Search. | Huimu Wang, Mingming Li, Dadong Miao, Songlin Wang, Guoyu Tang, Lin Liu, Sulong Xu, Jinghe Hu |
| 2024 | Unsupervised Cross-Domain Image Retrieval with Semantic-Attended Mixture-of-Experts. | Kai Wang, Jiayang Liu, Xing Xu, Jingkuan Song, Xin Liu, Heng Tao Shen |