Kelong Mao

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 38

Top Topics

Search Sessions

Information Retrieval

Relevance Judgments

Top Venues

Publications

Fengran Mo, Bole Yi, Kelong Mao, Chen Qu, Kaiyu Huang, Jian-Yun Nie
ConvSDG: Session Data Generation for Conversational Search. WWW (Companion Volume) (2024)
Fengran Mo, Bole Yi, Kelong Mao, Chen Qu, Kaiyu Huang, Jian-Yun Nie
ConvSDG: Session Data Generation for Conversational Search. CoRR (2024)
Haonan Chen, Zhicheng Dou, Kelong Mao, Jiongnan Liu, Ziliang Zhao
Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation. CoRR (2024)
Haonan Chen, Zhicheng Dou, Kelong Mao, Jiongnan Liu, Ziliang Zhao
Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation. ACL (1) (2024)
Hongjin Qian, Zheng Liu, Kelong Mao, Yujia Zhou, Zhicheng Dou
Grounding Language Model with Chunking-Free In-Context Retrieval. ACL (1) (2024)
Chenlong Deng, Kelong Mao, Yuyao Zhang, Zhicheng Dou
Enabling Discriminative Reasoning in LLMs for Legal Judgment Prediction. CoRR (2024)
Fengran Mo, Chen Qu, Kelong Mao, Yihong Wu, Zhan Su, Kaiyu Huang, Jian-Yun Nie
Aligning Query Representation with Rewritten Query and Relevance Judgments in Conversational Search. CoRR (2024)
Yutao Zhu, Kun Zhou, Kelong Mao, Wentong Chen, Yiding Sun, Zhipeng Chen, Qian Cao, Yihan Wu, Yushuo Chen, Feng Wang, Lei Zhang, Junyi Li, Xiaolei Wang, Lei Wang, Beichen Zhang, Zican Dong, Xiaoxue Cheng, Yuhan Chen, Xinyu Tang, Yupeng Hou, Qiangqiang Ren, Xincheng Pang, Shufang Xie, Wayne Xin Zhao, Zhicheng Dou, Jiaxin Mao, Yankai Lin, Ruihua Song, Jun Xu, Xu Chen, Rui Yan, Zhewei Wei, Di Hu, Wenbing Huang, Ze-Feng Gao, Yueguo Chen, Weizheng Lu, Ji-Rong Wen
YuLan: An Open-source Large Language Model. CoRR (2024)
Chenlong Deng, Zhicheng Dou, Yujia Zhou, Peitian Zhang, Kelong Mao
An Element is Worth a Thousand Words: Enhancing Legal Case Retrieval by Incorporating Legal Elements. ACL (Findings) (2024)
Hongjin Qian, Zheng Liu, Peitian Zhang, Kelong Mao, Yujia Zhou, Xu Chen, Zhicheng Dou
Are Long-LLMs A Necessity For Long-Context Tasks? CoRR (2024)
Hongjin Qian, Zheng Liu, Kelong Mao, Yujia Zhou, Zhicheng Dou
Grounding Language Model with Chunking-Free In-Context Retrieval. CoRR (2024)
Yiruo Cheng, Kelong Mao, Zhicheng Dou
Interpreting Conversational Dense Retrieval by Rewriting-Enhanced Inversion of Session Embedding. CoRR (2024)
Fengran Mo, Chen Qu, Kelong Mao, Tianyu Zhu, Zhan Su, Kaiyu Huang, Jian-Yun Nie
History-Aware Conversational Dense Retrieval. ACL (Findings) (2024)
Fengran Mo, Abbas Ghaddar, Kelong Mao, Mehdi Rezagholizadeh, Boxing Chen, Qun Liu, Jian-Yun Nie
CHIQ: Contextual History Enhancement for Improving Query Rewriting in Conversational Search. CoRR (2024)
Chenlong Deng, Kelong Mao, Zhicheng Dou
Learning Interpretable Legal Case Retrieval via Knowledge-Guided Case Reformulation. CoRR (2024)
Kelong Mao, Chenlong Deng, Haonan Chen, Fengran Mo, Zheng Liu, Tetsuya Sakai, Zhicheng Dou
ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval. CoRR (2024)
Fengran Mo, Chen Qu, Kelong Mao, Tianyu Zhu, Zhan Su, Kaiyu Huang, Jian-Yun Nie
History-Aware Conversational Dense Retrieval. CoRR (2024)
Yiruo Cheng, Kelong Mao, Zhicheng Dou
Interpreting Conversational Dense Retrieval by Rewriting-Enhanced Inversion of Session Embedding. ACL (1) (2024)
Kelong Mao, Zhicheng Dou, Bang Liu, Hongjin Qian, Fengran Mo, Xiangli Wu, Xiaohua Cheng, Zhao Cao
Search-Oriented Conversational Query Editing. ACL (Findings) (2023)
Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction. CoRR (2023)
Fengran Mo, Jian-Yun Nie, Kaiyu Huang, Kelong Mao, Yutao Zhu, Peng Li, Yang Liu
Learning to Relate to Previous Turns in Conversational Search. KDD (2023)
Fengran Mo, Kelong Mao, Yutao Zhu, Yihong Wu, Kaiyu Huang, Jian-Yun Nie
ConvGQR: Generative Query Reformulation for Conversational Search. CoRR (2023)
Kelong Mao, Zhicheng Dou, Fengran Mo, Jiewen Hou, Haonan Chen, Hongjin Qian
Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search. EMNLP (Findings) (2023)
Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction. AAAI (2023)
Fengran Mo, Kelong Mao, Yutao Zhu, Yihong Wu, Kaiyu Huang, Jian-Yun Nie
ConvGQR: Generative Query Reformulation for Conversational Search. ACL (1) (2023)
Kelong Mao, Hongjin Qian, Fengran Mo, Zhicheng Dou, Bang Liu, Xiaohua Cheng, Zhao Cao
Learning Denoised and Interpretable Session Representation for Conversational Search. WWW (2023)
Kelong Mao, Zhicheng Dou, Haonan Chen, Fengran Mo, Hongjin Qian
Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search. CoRR (2023)
Fengran Mo, Jian-Yun Nie, Kaiyu Huang, Kelong Mao, Yutao Zhu, Peng Li, Yang Liu
Learning to Relate to Previous Turns in Conversational Search. CoRR (2023)
Kelong Mao, Zhicheng Dou, Hongjin Qian
Curriculum Contrastive Context Denoising for Few-shot Conversational Dense Retrieval. SIGIR (2022)
Kelong Mao, Zhicheng Dou, Hongjin Qian, Fengran Mo, Xiaohua Cheng, Zhao Cao
ConvTrans: Transforming Web Search Sessions for Conversational Dense Retrieval. EMNLP (2022)
Kelong Mao, Xi Xiao, Guangwu Hu, Xiapu Luo, Bin Zhang, Shutao Xia
Byte-Label Joint Attention Learning for Packet-grained Network Traffic Classification. IWQoS (2021)
Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He
SimpleX: A Simple and Strong Baseline for Collaborative Filtering. CoRR (2021)
Kelong Mao, Jieming Zhu, Xi Xiao, Biao Lu, Zhaowei Wang, Xiuqiang He
UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation. CIKM (2021)
Kelong Mao, Jieming Zhu, Xi Xiao, Biao Lu, Zhaowei Wang, Xiuqiang He
UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation. CoRR (2021)
Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He
SimpleX: A Simple and Strong Baseline for Collaborative Filtering. CIKM (2021)
Kelong Mao, Xi Xiao, Tingyang Xu, Yu Rong, Junzhou Huang, Peilin Zhao
Molecular graph enhanced transformer for retrosynthesis prediction. Neurocomputing 457 (2021)
Kelong Mao, Xi Xiao, Jieming Zhu, Biao Lu, Ruiming Tang, Xiuqiang He
Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach. CoRR (2020)
Kelong Mao, Xi Xiao, Jieming Zhu, Biao Lu, Ruiming Tang, Xiuqiang He
Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach. SIGIR (2020)