| 2023 | Improving Conversational Passage Re-ranking with View Ensemble. | Jia-Huei Ju, Sheng-Chieh Lin, Ming-Feng Tsai, Chuan-Ju Wang |
| 2023 | Examining the Impact of Uncontrolled Variables on Physiological Signals in User Studies for Information Processing Activities. | Kaixin Ji, Damiano Spina, Danula Hettiachchi, Flora Dilys Salim, Falk Scholer |
| 2023 | Interactive Recommendation System for Meituan Waimai. | Chen Ji, Yacheng Li, Rui Li, Fei Jiang, Xiang Li, Wei Lin, Chenglong Zhang, Wei Wang, Shuyang Wang |
| 2023 | RCENR: A Reinforced and Contrastive Heterogeneous Network Reasoning Model for Explainable News Recommendation. | Hao Jiang, Chuanzhen Li, Juanjuan Cai, Jingling Wang |
| 2023 | Uncertainty Quantification for Extreme Classification. | Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu |
| 2023 | A Practical Online Allocation Framework at Industry-scale in Constrained Recommendation. | Daohong Jian, Yang Bao, Jun Zhou, Hua Wu |
| 2023 | AttriBERT - Session-based Product Attribute Recommendation with BERT. | Akshay Jagatap, Nikki Gupta, Sachin Farfade, Prakash Mandayam Comar |
| 2023 | RiverText: A Python Library for Training and Evaluating Incremental Word Embeddings from Text Data Streams. | Gabriel Iturra-Bocaz, Felipe Bravo-Marquez |
| 2023 | Inference at Scale: Significance Testing for Large Search and Recommendation Experiments. | Ngozi Ihemelandu, Michael D. Ekstrand |
| 2023 | Learning to Re-rank with Constrained Meta-Optimal Transport. | Andrs Hoyos Idrobo |
| 2023 | Simplifying Content-Based Neural News Recommendation: On User Modeling and Training Objectives. | Andreea Iana, Goran Glavas, Heiko Paulheim |
| 2023 | A Data-centric Solution to Improve Online Performance of Customer Service Bots. | Sen Hu, Changlin Yang, Junjie Wang, Siye Liu, Teng Xu, Wangshu Zhang, Jing Zheng |
| 2023 | Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction. | Xuming Hu, Zhaochen Hong, Chenwei Zhang, Irwin King, Philip S. Yu |
| 2023 | Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence. | Xuming Hu, Zhaochen Hong, Zhijiang Guo, Lijie Wen, Philip S. Yu |
| 2023 | MR2: A Benchmark for Multimodal Retrieval-Augmented Rumor Detection in Social Media. | Xuming Hu, Zhijiang Guo, Junzhe Chen, Lijie Wen, Philip S. Yu |
| 2023 | SelfLRE: Self-refining Representation Learning for Low-resource Relation Extraction. | Xuming Hu, Junzhe Chen, Shiao Meng, Lijie Wen, Philip S. Yu |
| 2023 | Dialog-to-Actions: Building Task-Oriented Dialogue System via Action-Level Generation. | Yuncheng Hua, Xiangyu Xi, Zheng Jiang, Guanwei Zhang, Chaobo Sun, Guanglu Wan, Wei Ye |
| 2023 | Soft Prompt Decoding for Multilingual Dense Retrieval. | Zhiqi Huang, Hansi Zeng, Hamed Zamani, James Allan |
| 2023 | Prediction then Correction: An Abductive Prediction Correction Method for Sequential Recommendation. | Yulong Huang, Yang Zhang, Qifan Wang, Chenxu Wang, Fuli Feng |
| 2023 | Aligning Distillation For Cold-start Item Recommendation. | Feiran Huang, Zefan Wang, Xiao Huang, Yufeng Qian, Zhetao Li, Hao Chen |
| 2023 | Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation. | Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao |
| 2023 | Towards Robust Knowledge Tracing Models via k-Sparse Attention. | Shuyan Huang, Zitao Liu, Xiangyu Zhao, Weiqi Luo, Jian Weng |
| 2023 | M2GNN: Metapath and Multi-interest Aggregated Graph Neural Network for Tag-based Cross-domain Recommendation. | Zepeng Huai, Yuji Yang, Mengdi Zhang, Zhongyi Zhang, Yichun Li, Wei Wu |
| 2023 | Multimodal Named Entity Recognition and Relation Extraction with Retrieval-Augmented Strategy. | Xuming Hu |
| 2023 | FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation. | Sebastian Hofsttter, Jiecao Chen, Karthik Raman, Hamed Zamani |