| 2022 | What Makes the Story Forward?: Inferring Commonsense Explanations as Prompts for Future Event Generation. | Li Lin, Yixin Cao, Lifu Huang, Shu'ang Li, Xuming Hu, Lijie Wen, Jianmin Wang |
| 2022 | How Does Feedback Signal Quality Impact Effectiveness of Pseudo Relevance Feedback for Passage Retrieval. | Hang Li, Ahmed Mourad, Bevan Koopman, Guido Zuccon |
| 2022 | Hierarchical Multi-Task Graph Recurrent Network for Next POI Recommendation. | Nicholas Lim, Bryan Hooi, See-Kiong Ng, Yong Liang Goh, Renrong Weng, Rui Tan |
| 2022 | On Extractive Summarization for Profile-centric Neural Expert Search in Academia. | Rennan C. Lima, Rodrygo L. T. Santos |
| 2022 | A Benchmark for Text Classification in News Recommendations. | Xinyi Li, Edward C. Malthouse |
| 2022 | Adversarial Filtering Modeling on Long-term User Behavior Sequences for Click-Through Rate Prediction. | Xiaochen Li, Jian Liang, Xialong Liu, Yu Zhang |
| 2022 | Contrastive Learning with Hard Negative Entities for Entity Set Expansion. | Yinghui Li, Yangning Li, Yuxin He, Tianyu Yu, Ying Shen, Hai-Tao Zheng |
| 2022 | Distilling Knowledge on Text Graph for Social Media Attribute Inference. | Quan Li, Xiaoting Li, Lingwei Chen, Dinghao Wu |
| 2022 | Improving Micro-video Recommendation via Contrastive Multiple Interests. | Beibei Li, Beihong Jin, Jiageng Song, Yisong Yu, Yiyuan Zheng, Wei Zhou |
| 2022 | AutoLossGen: Automatic Loss Function Generation for Recommender Systems. | Zelong Li, Jianchao Ji, Yingqiang Ge, Yongfeng Zhang |
| 2022 | Multi-label Masked Language Modeling on Zero-shot Code-switched Sentiment Analysis. | Zhi Li, Xing Gao, Ji Zhang, Yin Zhang |
| 2022 | Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation. | Yinfeng Li, Chen Gao, Hengliang Luo, Depeng Jin, Yong Li |
| 2022 | BERT-based Dense Intra-ranking and Contextualized Late Interaction via Multi-task Learning for Long Document Retrieval. | Minghan Li, ric Gaussier |
| 2022 | Transform Cold-Start Users into Warm via Fused Behaviors in Large-Scale Recommendation. | Pengyang Li, Rong Chen, Quan Liu, Jian Xu, Bo Zheng |
| 2022 | Deep Page-Level Interest Network in Reinforcement Learning for Ads Allocation. | Guogang Liao, Xiaowen Shi, Ze Wang, Xiaoxu Wu, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang |
| 2022 | PTAU: Prompt Tuning for Attributing Unanswerable Questions. | Jinzhi Liao, Xiang Zhao, Jianming Zheng, Xinyi Li, Fei Cai, Jiuyang Tang |
| 2022 | BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction. | Bisheng Li, Min Zhou, Shengzhong Zhang, Menglin Yang, Defu Lian, Zengfeng Huang |
| 2022 | Multi-Agent RL-based Information Selection Model for Sequential Recommendation. | Kaiyuan Li, Pengfei Wang, Chenliang Li |
| 2022 | ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named Entities. | Paul Lerner, Olivier Ferret, Camille Guinaudeau, Herv Le Borgne, Romaric Besanon, Jos G. Moreno, Jess Lovn-Melgarejo |
| 2022 | Interacting with Non-Cooperative User: A New Paradigm for Proactive Dialogue Policy. | Wenqiang Lei, Yao Zhang, Feifan Song, Hongru Liang, Jiaxin Mao, Jiancheng Lv, Zhenglu Yang, Tat-Seng Chua |
| 2022 | Bilateral Self-unbiased Learning from Biased Implicit Feedback. | Jae-woong Lee, Seongmin Park, Joonseok Lee, Jongwuk Lee |
| 2022 | Towards Validating Long-Term User Feedbacks in Interactive Recommendation Systems. | Hojoon Lee, Dongyoon Hwang, Kyushik Min, Jaegul Choo |
| 2022 | Learned Token Pruning in Contextualized Late Interaction over BERT (ColBERT). | Carlos Lassance, Maroua Maachou, Joohee Park, Stphane Clinchant |
| 2022 | An Efficiency Study for SPLADE Models. | Carlos Lassance, Stphane Clinchant |
| 2022 | An Auto Encoder-based Dimensionality Reduction Technique for Efficient Entity Linking in Business Phone Conversations. | Md. Tahmid Rahman Laskar, Cheng Chen, Jonathan Johnston, Xue-Yong Fu, Shashi Bhushan TN, Simon Corston-Oliver |