| 2024 | Reflections on the Coding Ability of LLMs for Analyzing Market Research Surveys. | Shi Zong, Santosh Kolagati, Amit Chaudhary, Josh Seltzer, Jimmy Lin |
| 2024 | Scaling Sequential Recommendation Models with Transformers. | Pablo Zivic, Hernn Ceferino Vzquez, Jorge Snchez |
| 2024 | ResumeFlow: An LLM-facilitated Pipeline for Personalized Resume Generation and Refinement. | Saurabh Bhausaheb Zinjad, Amrita Bhattacharjee, Amey Bhilegaonkar, Huan Liu |
| 2024 | Adaptive Fair Representation Learning for Personalized Fairness in Recommendations via Information Alignment. | Xinyu Zhu, Lilin Zhang, Ning Yang |
| 2024 | Graph Signal Diffusion Model for Collaborative Filtering. | Yunqin Zhu, Chao Wang, Qi Zhang, Hui Xiong |
| 2024 | Modeling Domains as Distributions with Uncertainty for Cross-Domain Recommendation. | Xianghui Zhu, Mengqun Jin, Hengyu Zhang, Chang Meng, Daoxin Zhang, Xiu Li |
| 2024 | Multimodal Representation and Retrieval [MRR 2024]. | Xinliang Zhu, Arnab Dhua, Douglas Gray, I. Zeki Yalniz, Tan Yu, Mohamed Elhoseiny, Bryan A. Plummer |
| 2024 | Interest Clock: Time Perception in Real-Time Streaming Recommendation System. | Yongchun Zhu, Jingwu Chen, Ling Chen, Yitan Li, Feng Zhang, Zuotao Liu |
| 2024 | A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models. | Shengyao Zhuang, Honglei Zhuang, Bevan Koopman, Guido Zuccon |
| 2024 | TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning. | Jing Zhu, Xiang Song, Vassilis N. Ioannidis, Danai Koutra, Christos Faloutsos |
| 2024 | Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation. | Zhongliang Zhou, Jielu Zhang, Zihan Guan, Mengxuan Hu, Ni Lao, Lan Mu, Sheng Li, Gengchen Mai |
| 2024 | TRAD: Enhancing LLM Agents with Step-Wise Thought Retrieval and Aligned Decision. | Ruiwen Zhou, Yingxuan Yang, Muning Wen, Ying Wen, Wenhao Wang, Chunling Xi, Guoqiang Xu, Yong Yu, Weinan Zhang |
| 2024 | CLLP: Contrastive Learning Framework Based on Latent Preferences for Next POI Recommendation. | Hongli Zhou, Zhihao Jia, Haiyang Zhu, Zhizheng Zhang |
| 2024 | EASE-DR: Enhanced Sentence Embeddings for Dense Retrieval. | Xixi Zhou, Yang Gao, Xin Jie, Xiaoxu Cai, Jiajun Bu, Haishuai Wang |
| 2024 | Information Diffusion Prediction via Cascade-Retrieved In-context Learning. | Ting Zhong, Jienan Zhang, Zhangtao Cheng, Fan Zhou, Xueqin Chen |
| 2024 | Predicting Micro-video Popularity via Multi-modal Retrieval Augmentation. | Ting Zhong, Jian Lang, Yifan Zhang, Zhangtao Cheng, Kunpeng Zhang, Fan Zhou |
| 2024 | Poisoning Decentralized Collaborative Recommender System and Its Countermeasures. | Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin |
| 2024 | MIRROR: A Multi-View Reciprocal Recommender System for Online Recruitment. | Zhi Zheng, Xiao Hu, Shanshan Gao, Hengshu Zhu, Hui Xiong |
| 2024 | Contrast then Memorize: Semantic Neighbor Retrieval-Enhanced Inductive Multimodal Knowledge Graph Completion. | Yu Zhao, Ying Zhang, Baohang Zhou, Xinying Qian, Kehui Song, Xiangrui Cai |
| 2024 | Enhancing Baidu Multimodal Advertisement with Chinese Text-to-Image Generation via Bilingual Alignment and Caption Synthesis. | Kang Zhao, Xinyu Zhao, Zhipeng Jin, Yi Yang, Wen Tao, Cong Han, Shuanglong Li, Lin Liu |
| 2024 | DHMAE: A Disentangled Hypergraph Masked Autoencoder for Group Recommendation. | Yingqi Zhao, Haiwei Zhang, Qijie Bai, Changli Nie, Xiaojie Yuan |
| 2024 | MTMS: Multi-teacher Multi-stage Knowledge Distillation for Reasoning-Based Machine Reading Comprehension. | Zhuo Zhao, Zhiwen Xie, Guangyou Zhou, Jimmy Xiangji Huang |
| 2024 | Denoising Diffusion Recommender Model. | Jujia Zhao, Wenjie Wang, Yiyan Xu, Teng Sun, Fuli Feng, Tat-Seng Chua |
| 2024 | Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning. | Yuyue Zhao, Jiancan Wu, Xiang Wang, Wei Tang, Dingxian Wang, Maarten de Rijke |
| 2024 | Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients. | Zihao Zhao, Yi Jing, Fuli Feng, Jiancan Wu, Chongming Gao, Xiangnan He |