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ORCIDFengran Mo
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2020 – today
- 2025
[i27]Zhaoxuan Tan, Zinan Zeng, Qingkai Zeng, Zhenyu Wu, Zheyuan Liu, Fengran Mo, Meng Jiang:
Can Large Language Models Understand Preferences in Personalized Recommendation? CoRR abs/2501.13391 (2025)- [i26]Xinhao Zhang, Jinghan Zhang, Fengran Mo, Dongjie Wang
, Yanjie Fu, Kunpeng Liu:
LEKA:LLM-Enhanced Knowledge Augmentation. CoRR abs/2501.17802 (2025) - [i25]Lu Yi, Jie Peng, Yanping Zheng, Fengran Mo, Zhewei Wei, Yuhang Ye, Yue Zixuan, Zengfeng Huang:
TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics. CoRR abs/2502.02975 (2025) - 2024
- [c21]Yulong Mao, Kaiyu Huang, Changhao Guan, Ganglin Bao, Fengran Mo, Jinan Xu:
DoRA: Enhancing Parameter-Efficient Fine-Tuning with Dynamic Rank Distribution. ACL (1) 2024: 11662-11675 - [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]Fengran Mo, Longxiang Zhao, Kaiyu Huang, Yue Dong, Degen Huang, Jian-Yun Nie:
How to Leverage Personal Textual Knowledge for Personalized Conversational Information Retrieval. CIKM 2024: 3954-3958 - [c17]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 - [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]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 - [c14]Jiayin Wang, Fengran Mo, Weizhi Ma, Peijie Sun, Min Zhang, Jian-Yun Nie:
A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models. EMNLP 2024: 3588-3612 - [c13]Yihong Wu, Le Zhang, Fengran Mo, Tianyu Zhu, Weizhi Ma, Jian-Yun Nie:
Unifying Graph Convolution and Contrastive Learning in Collaborative Filtering. KDD 2024: 3425-3436 - [c12]Tianyu Zhu, Yansong Shi, Yuan Zhang, Yihong Wu, Fengran Mo, Jian-Yun Nie:
Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential Recommendation. WSDM 2024: 1003-1011 - [c11]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 - [i24]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) - [i23]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) - [i22]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) - [i21]Jiayin Wang, Fengran Mo, Weizhi Ma, Peijie Sun, Min Zhang, Jian-Yun Nie:
A User-Centric Benchmark for Evaluating Large Language Models. CoRR abs/2404.13940 (2024) - [i20]Zhan Su, Yuqin Zhou, Fengran Mo, Jakob Grue Simonsen:
Language Modeling Using Tensor Trains. CoRR abs/2405.04590 (2024) - [i19]Kaiyu Huang, Fengran Mo, Hongliang Li, You Li, Yuanchi Zhang, Weijian Yi, Yulong Mao, Jinchen Liu, Yuzhuang Xu, Jinan Xu, Jian-Yun Nie, Yang Liu:
A Survey on Large Language Models with Multilingualism: Recent Advances and New Frontiers. CoRR abs/2405.10936 (2024) - [i18]Zhan Su, Fengran Mo, Prayag Tiwari, Benyou Wang, Jian-Yun Nie, Jakob Grue Simonsen:
Mixture of Experts Using Tensor Products. CoRR abs/2405.16671 (2024) - [i17]Yulong Mao, Kaiyu Huang, Changhao Guan, Ganglin Bao, Fengran Mo, Jinan Xu:
DoRA: Enhancing Parameter-Efficient Fine-Tuning with Dynamic Rank Distribution. CoRR abs/2405.17357 (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]Xinhao Zhang, Jinghan Zhang, Fengran Mo, Yuzhong Chen, Kunpeng Liu:
Retrieval-Augmented Feature Generation for Domain-Specific Classification. CoRR abs/2406.11177 (2024) - [i14]Yihong Wu, Le Zhang, Fengran Mo, Tianyu Zhu, Weizhi Ma, Jian-Yun Nie:
Unifying Graph Convolution and Contrastive Learning in Collaborative Filtering. CoRR abs/2406.13996 (2024) - [i13]Qiwei Shao, Fengran Mo, Jian-Yun Nie:
Boosting Biomedical Concept Extraction by Rule-Based Data Augmentation. CoRR abs/2407.02719 (2024) - [i12]Fengran Mo, Longxiang Zhao, Kaiyu Huang, Yue Dong, Degen Huang, Jian-Yun Nie:
How to Leverage Personal Textual Knowledge for Personalized Conversational Information Retrieval. CoRR abs/2407.16192 (2024) - [i11]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) - [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]Jinghan Zhang, Fengran Mo, Xiting Wang, Kunpeng Liu:
Thought Space Explorer: Navigating and Expanding Thought Space for Large Language Model Reasoning. CoRR abs/2410.24155 (2024) - [i8]Yuchen Hui, Fengran Mo, Milan Mao, Jian-Yun Nie:
RALI@TREC iKAT 2024: Achieving Personalization via Retrieval Fusion in Conversational Search. CoRR abs/2412.07998 (2024) - 2023
- [c10]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 - [c9]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 - [c8]Sai Chen, Fengran Mo, Yanhao Wang, Cen Chen, Jian-Yun Nie, Chengyu Wang, Jamie Cui:
A Customized Text Sanitization Mechanism with Differential Privacy. ACL (Findings) 2023: 5747-5758 - [c7]Le Zhang, Yihong Wu, Fengran Mo, Jian-Yun Nie, Aishwarya Agrawal:
MoqaGPT : Zero-Shot Multi-modal Open-domain Question Answering with Large Language Model. EMNLP (Findings) 2023: 1195-1210 - [c6]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 - [c5]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 - [c4]Fengran Mo, Bole Yi, Jian-Yun Nie:
RALI@TREC iKAT 2023: Generative Query Reformulation for Conversational Information Seeking. TREC 2023 - [c3]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]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) - [i5]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) - [i4]Le Zhang, Yihong Wu, Fengran Mo, Jian-Yun Nie, Aishwarya Agrawal:
MoqaGPT : Zero-Shot Multi-modal Open-domain Question Answering with Large Language Model. CoRR abs/2310.13265 (2023) - [i3]Tianyu Zhu, Yansong Shi, Yuan Zhang, Yihong Wu, Fengran Mo, Jian-Yun Nie:
Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential Recommendation. CoRR abs/2311.01056 (2023) - 2022
- [j1]Kaiyu Huang, Keli Xiao, Fengran Mo, Bo Jin, Zhuang Liu, Degen Huang:
Domain-Aware Word Segmentation for Chinese Language: A Document-Level Context-Aware Model. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(2): 41:1-41:16 (2022) - [c2]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 - [i2]Huimin Chen, Fengran Mo, Cen Chen, Jamie Cui, Jian-Yun Nie:
A Customised Text Privatisation Mechanism with Differential Privacy. CoRR abs/2207.01193 (2022) - 2021
- [i1]Jian Du, Song Li, Fengran Mo, Siheng Chen:
Dynamic Differential-Privacy Preserving SGD. CoRR abs/2111.00173 (2021) - 2020
- [c1]Kaiyu Huang, Degen Huang, Zhuang Liu, Fengran Mo:
A Joint Multiple Criteria Model in Transfer Learning for Cross-domain Chinese Word Segmentation. EMNLP (1) 2020: 3873-3882
Coauthor Index
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