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2020 – today
- 2024
[c24]Hongjin Qian, Zheng Liu, Kelong Mao, Yujia Zhou, Zhicheng Dou:
Grounding Language Model with Chunking-Free In-Context Retrieval. ACL (1) 2024: 1298-1311- [c23]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: 2354-2365 - [c22]Haonan Chen, Zhicheng Dou, Kelong Mao, Jiongnan Liu, Ziliang Zhao:
Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation. ACL (1) 2024: 2700-2718 - [c21]Yiruo Cheng, Kelong Mao, Zhicheng Dou:
Interpreting Conversational Dense Retrieval by Rewriting-Enhanced Inversion of Session Embedding. ACL (1) 2024: 2879-2893 - [c20]Fengran Mo, Chen Qu, Kelong Mao, Tianyu Zhu, Zhan Su, Kaiyu Huang, Jian-Yun Nie:
History-Aware Conversational Dense Retrieval. ACL (Findings) 2024: 13366-13378 - [c19]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. CIKM 2024: 1700-1710 - [c18]Kelong Mao, Zheng Liu, Hongjin Qian, Fengran Mo, Chenlong Deng, Zhicheng Dou:
RAG-Studio: Towards In-Domain Adaptation of Retrieval Augmented Generation Through Self-Alignment. EMNLP (Findings) 2024: 725-735 - [c17]Chenlong Deng, Kelong Mao, Yuyao Zhang, Zhicheng Dou:
Enabling Discriminative Reasoning in LLMs for Legal Judgment Prediction. EMNLP (Findings) 2024: 784-796 - [c16]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. EMNLP 2024: 1227-1240 - [c15]Chenlong Deng, Kelong Mao, Zhicheng Dou:
Learning Interpretable Legal Case Retrieval via Knowledge-Guided Case Reformulation. EMNLP 2024: 1253-1265 - [c14]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. EMNLP 2024: 2253-2268 - [c13]Fengran Mo, Bole Yi, Kelong Mao, Chen Qu, Kaiyu Huang, Jian-Yun Nie:
ConvSDG: Session Data Generation for Conversational Search. WWW (Companion Volume) 2024: 1634-1642 - [i23]Fengran Mo, Chen Qu, Kelong Mao, Tianyu Zhu, Zhan Su, Kaiyu Huang, Jian-Yun Nie:
History-Aware Conversational Dense Retrieval. CoRR abs/2401.16659 (2024) - [i22]Haonan Chen, Zhicheng Dou, Kelong Mao, Jiongnan Liu, Ziliang Zhao:
Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation. CoRR abs/2402.07092 (2024) - [i21]Hongjin Qian, Zheng Liu, Kelong Mao, Yujia Zhou, Zhicheng Dou:
Grounding Language Model with Chunking-Free In-Context Retrieval. CoRR abs/2402.09760 (2024) - [i20]Yiruo Cheng, Kelong Mao, Zhicheng Dou:
Interpreting Conversational Dense Retrieval by Rewriting-Enhanced Inversion of Session Embedding. CoRR abs/2402.12774 (2024) - [i19]Fengran Mo, Bole Yi, Kelong Mao, Chen Qu, Kaiyu Huang, Jian-Yun Nie:
ConvSDG: Session Data Generation for Conversational Search. CoRR abs/2403.11335 (2024) - [i18]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 abs/2404.13556 (2024) - [i17]Hongjin Qian, Zheng Liu, Peitian Zhang, Kelong Mao, Yujia Zhou, Xu Chen, Zhicheng Dou:
Are Long-LLMs A Necessity For Long-Context Tasks? CoRR abs/2405.15318 (2024) - [i16]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 abs/2406.05013 (2024) - [i15]Chenlong Deng, Kelong Mao, Zhicheng Dou:
Learning Interpretable Legal Case Retrieval via Knowledge-Guided Case Reformulation. CoRR abs/2406.19760 (2024) - [i14]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 abs/2406.19853 (2024) - [i13]Chenlong Deng, Kelong Mao, Yuyao Zhang, Zhicheng Dou:
Enabling Discriminative Reasoning in LLMs for Legal Judgment Prediction. CoRR abs/2407.01964 (2024) - [i12]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 abs/2407.20189 (2024) - [i11]Hongjin Qian, Peitian Zhang, Zheng Liu, Kelong Mao, Zhicheng Dou:
MemoRAG: Moving towards Next-Gen RAG Via Memory-Inspired Knowledge Discovery. CoRR abs/2409.05591 (2024) - [i10]Fengran Mo, Kelong Mao, Ziliang Zhao, Hongjin Qian, Haonan Chen, Yiruo Cheng, Xiaoxi Li, Yutao Zhu, Zhicheng Dou, Jian-Yun Nie:
A Survey of Conversational Search. CoRR abs/2410.15576 (2024) - [i9]Yiruo Cheng, Kelong Mao, Ziliang Zhao, Guanting Dong, Hongjin Qian, Yongkang Wu, Tetsuya Sakai, Ji-Rong Wen, Zhicheng Dou:
CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generation. CoRR abs/2410.23090 (2024) - [i8]Chenlong Deng, Zhisong Zhang, Kelong Mao, Shuaiyi Li, Xinting Huang, Dong Yu, Zhicheng Dou:
A Silver Bullet or a Compromise for Full Attention? A Comprehensive Study of Gist Token-based Context Compression. CoRR abs/2412.17483 (2024) - 2023
- [c12]Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong:
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction. AAAI 2023: 4552-4560 - [c11]Kelong Mao, Zhicheng Dou, Bang Liu, Hongjin Qian, Fengran Mo, Xiangli Wu, Xiaohua Cheng, Zhao Cao:
Search-Oriented Conversational Query Editing. ACL (Findings) 2023: 4160-4172 - [c10]Fengran Mo, Kelong Mao, Yutao Zhu, Yihong Wu, Kaiyu Huang, Jian-Yun Nie:
ConvGQR: Generative Query Reformulation for Conversational Search. ACL (1) 2023: 4998-5012 - [c9]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: 1211-1225 - [c8]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: 1722-1732 - [c7]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: 3193-3202 - [i7]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 abs/2303.06573 (2023) - [i6]Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong:
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction. CoRR abs/2304.00902 (2023) - [i5]Fengran Mo, Kelong Mao, Yutao Zhu, Yihong Wu, Kaiyu Huang, Jian-Yun Nie:
ConvGQR: Generative Query Reformulation for Conversational Search. CoRR abs/2305.15645 (2023) - [i4]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 abs/2306.02553 (2023) - 2022
- [c6]Kelong Mao, Zhicheng Dou, Hongjin Qian, Fengran Mo, Xiaohua Cheng, Zhao Cao:
ConvTrans: Transforming Web Search Sessions for Conversational Dense Retrieval. EMNLP 2022: 2935-2946 - [c5]Kelong Mao, Zhicheng Dou, Hongjin Qian:
Curriculum Contrastive Context Denoising for Few-shot Conversational Dense Retrieval. SIGIR 2022: 176-186 - 2021
- [j1]Kelong Mao, Xi Xiao, Tingyang Xu, Yu Rong, Junzhou Huang, Peilin Zhao:
Molecular graph enhanced transformer for retrosynthesis prediction. Neurocomputing 457: 193-202 (2021) - [c4]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: 1243-1252 - [c3]Kelong Mao, Jieming Zhu, Xi Xiao, Biao Lu, Zhaowei Wang, Xiuqiang He:
UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation. CIKM 2021: 1253-1262 - [c2]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: 1-10 - [i3]Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He:
SimpleX: A Simple and Strong Baseline for Collaborative Filtering. CoRR abs/2109.12613 (2021) - [i2]Kelong Mao, Jieming Zhu, Xi Xiao, Biao Lu, Zhaowei Wang, Xiuqiang He:
UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation. CoRR abs/2110.15114 (2021) - 2020
- [c1]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: 2327-2336 - [i1]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 abs/2008.11567 (2020)
Coauthor Index
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