Kelong Mao

According to our database, Kelong Mao authored at least 33 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Silver Bullet or a Compromise for Full Attention? A Comprehensive Study of Gist Token-based Context Compression.

Chenlong Deng, Zhisong Zhang, Kelong Mao, Shuaiyi Li, Xinting Huang, Dong Yu, Zhicheng Dou

CoRR, 2024

CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generation.

Yiruo Cheng, Kelong Mao, Ziliang Zhao, Guanting Dong, Hongjin Qian, Yongkang Wu, Tetsuya Sakai, Ji-Rong Wen, Zhicheng Dou

CoRR, 2024

A Survey of Conversational Search.

Fengran Mo, Kelong Mao, Ziliang Zhao, Hongjin Qian, Haonan Chen, Yiruo Cheng, Xiaoxi Li, Yutao Zhu, Zhicheng Dou, Jian-Yun Nie

CoRR, 2024

MemoRAG: Moving towards Next-Gen RAG Via Memory-Inspired Knowledge Discovery.

Hongjin Qian, Peitian Zhang, Zheng Liu, Kelong Mao, Zhicheng Dou

CoRR, 2024

YuLan: An Open-source Large Language Model.

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

CoRR, 2024

Are Long-LLMs A Necessity For Long-Context Tasks?

Hongjin Qian, Zheng Liu, Peitian Zhang, Kelong Mao, Yujia Zhou, Xu Chen, Zhicheng Dou

CoRR, 2024

ConvSDG: Session Data Generation for Conversational Search.

Fengran Mo, Bole Yi, Kelong Mao, Chen Qu, Kaiyu Huang, Jian-Yun Nie

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

CHIQ: Contextual History Enhancement for Improving Query Rewriting in Conversational Search.

Fengran Mo, Abbas Ghaddar, Kelong Mao, Mehdi Rezagholizadeh, Boxing Chen, Qun Liu, Jian-Yun Nie

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval.

Kelong Mao, Chenlong Deng, Haonan Chen, Fengran Mo, Zheng Liu, Tetsuya Sakai, Zhicheng Dou

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

RAG-Studio: Towards In-Domain Adaptation of Retrieval Augmented Generation Through Self-Alignment.

Kelong Mao, Zheng Liu, Hongjin Qian, Fengran Mo, Chenlong Deng, Zhicheng Dou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Enabling Discriminative Reasoning in LLMs for Legal Judgment Prediction.

Chenlong Deng, Kelong Mao, Yuyao Zhang, Zhicheng Dou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Learning Interpretable Legal Case Retrieval via Knowledge-Guided Case Reformulation.

Chenlong Deng, Kelong Mao, Zhicheng Dou

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Aligning Query Representation with Rewritten Query and Relevance Judgments in Conversational Search.

Fengran Mo, Chen Qu, Kelong Mao, Yihong Wu, Zhan Su, Kaiyu Huang, Jian-Yun Nie

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Grounding Language Model with Chunking-Free In-Context Retrieval.

Hongjin Qian, Zheng Liu, Kelong Mao, Yujia Zhou, Zhicheng Dou

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

History-Aware Conversational Dense Retrieval.

Fengran Mo, Chen Qu, Kelong Mao, Tianyu Zhu, Zhan Su, Kaiyu Huang, Jian-Yun Nie

Proceedings of the Findings of the Association for Computational Linguistics, 2024

An Element is Worth a Thousand Words: Enhancing Legal Case Retrieval by Incorporating Legal Elements.

Chenlong Deng, Zhicheng Dou, Yujia Zhou, Peitian Zhang, Kelong Mao

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Interpreting Conversational Dense Retrieval by Rewriting-Enhanced Inversion of Session Embedding.

Yiruo Cheng, Kelong Mao, Zhicheng Dou

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation.

Haonan Chen, Zhicheng Dou, Kelong Mao, Jiongnan Liu, Ziliang Zhao

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Learning to Relate to Previous Turns in Conversational Search.

Fengran Mo, Jian-Yun Nie, Kaiyu Huang, Kelong Mao, Yutao Zhu, Peng Li, Yang Liu

CoRR, 2023

Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search.

Kelong Mao, Zhicheng Dou, Haonan Chen, Fengran Mo, Hongjin Qian

CoRR, 2023

Learning Denoised and Interpretable Session Representation for Conversational Search.

Kelong Mao, Hongjin Qian, Fengran Mo, Zhicheng Dou, Bang Liu, Xiaohua Cheng, Zhao Cao

Proceedings of the ACM Web Conference 2023, 2023

Learning to Relate to Previous Turns in Conversational Search.

Fengran Mo, Jian-Yun Nie, Kaiyu Huang, Kelong Mao, Yutao Zhu, Peng Li, Yang Liu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search.

Kelong Mao, Zhicheng Dou, Fengran Mo, Jiewen Hou, Haonan Chen, Hongjin Qian

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

ConvGQR: Generative Query Reformulation for Conversational Search.

Fengran Mo, Kelong Mao, Yutao Zhu, Yihong Wu, Kaiyu Huang, Jian-Yun Nie

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Search-Oriented Conversational Query Editing.

Kelong Mao, Zhicheng Dou, Bang Liu, Hongjin Qian, Fengran Mo, Xiangli Wu, Xiaohua Cheng, Zhao Cao

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction.

Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Curriculum Contrastive Context Denoising for Few-shot Conversational Dense Retrieval.

Kelong Mao, Zhicheng Dou, Hongjin Qian

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

ConvTrans: Transforming Web Search Sessions for Conversational Dense Retrieval.

Kelong Mao, Zhicheng Dou, Hongjin Qian, Fengran Mo, Xiaohua Cheng, Zhao Cao

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Molecular graph enhanced transformer for retrosynthesis prediction.

Kelong Mao, Xi Xiao, Tingyang Xu, Yu Rong, Junzhou Huang, Peilin Zhao

Neurocomputing, 2021

Byte-Label Joint Attention Learning for Packet-grained Network Traffic Classification.

Kelong Mao, Xi Xiao, Guangwu Hu, Xiapu Luo, Bin Zhang, Shutao Xia

Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021

UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation.

Kelong Mao, Jieming Zhu, Xi Xiao, Biao Lu, Zhaowei Wang, Xiuqiang He

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

SimpleX: A Simple and Strong Baseline for Collaborative Filtering.

Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach.

Kelong Mao, Xi Xiao, Jieming Zhu, Biao Lu, Ruiming Tang, Xiuqiang He

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020